Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art | Paper Citation Record

Observation b3412fd8-0340-4d77-9342-b3b32d7c9724 · outbound

This paper cites Dynamic weights in multi-objective deep reinforcement learning,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Dynamic weights in multi-objective deep reinforcement learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.130062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f5c8c6-878f-4419-98fa-4dde3a784500 · outbound

This paper cites Multi-objective reinforcement learning with non-linear scalarization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-objective reinforcement learning with non-linear scalarization,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.135386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77d3477-e397-49d5-9366-7df58340d460 · outbound

This paper cites Common pitfalls to avoid while using multiobjective optimization in machine learning.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Common pitfalls to avoid while using multiobjective optimization in machine learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:19:52.922821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bdf63cbf-0cdf-4089-8677-7771baf5b3c1 · outbound

This paper cites Multi-objective unsupervised feature selection and cluster based on symbiotic organism search,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-objective unsupervised feature selection and cluster based on symbiotic organism search,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.146206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d1f4fa7-332d-4420-af30-5d22e9a904d1 · outbound

This paper cites Multi-objective training of generative adversarial net- works with multiple discriminators,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-objective training of generative adversarial net- works with multiple discriminators,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.151316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d0e0dac-b392-4e02-8542-21bdd02c1896 · outbound

This paper cites an unresolved cited work.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.156091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba405b14-3c61-4e52-a15f-7195e860b960 · outbound

This paper cites A new semi-supervised clustering technique using multi-objective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A new semi-supervised clustering technique using multi-objective optimization,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.161264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a85f624d-9c16-4ed3-9f2b-dfaa6ce436e0 · outbound

This paper cites A multiobjective continuation method to compute the regularization path of deep neural networks.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A multiobjective continuation method to compute the regularization path of deep neural networks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:19:52.900920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 04c5e79f-7483-494e-a648-92601b271775 · outbound

This paper cites Hypervolume-based multiobjective optimization: Theoretical foundations and practical im- plications,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Hypervolume-based multiobjective optimization: Theoretical foundations and practical im- plications,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.170720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a7e50a-f3b1-4f0d-8157-b2d45459a27a · outbound

This paper cites SVM classification for imbalanced data sets using a multiobjective optimization framework,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art SVM classification for imbalanced data sets using a multiobjective optimization framework,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.175920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a66b2ba-fb16-437d-ab79-ecee32caf6b3 · outbound

This paper cites Hype: An algorithm for fast hypervolume- based many-objective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Hype: An algorithm for fast hypervolume- based many-objective optimization,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.181232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd3a7ed8-6709-4a28-b08b-0e4e76dfa543 · outbound

This paper cites Evolutionary multi-objective optimization of large language model prompts for balancing sentiments,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Evolutionary multi-objective optimization of large language model prompts for balancing sentiments,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.186394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a99de2-52ef-426e-9744-5c5d7289c07a · outbound

This paper cites The explicit linear quadratic regulator for constrained systems,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art The explicit linear quadratic regulator for constrained systems,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.190968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058bc91c-613f-4172-bca0-0d0c09df2380 · outbound

This paper cites Autoen- coders and their applications in machine learning: a survey,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Autoen- coders and their applications in machine learning: a survey,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.195531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6fcc376-4e28-4e27-a034-b956dc5869e6 · outbound

This paper cites Derivative-free multiobjective trust region descent method using radial basis function surrogate models,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Derivative-free multiobjective trust region descent method using radial basis function surrogate models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.200697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2af05a1d-7f5e-4d41-82d4-8cee4534b363 · outbound

This paper cites Bertsekas, Reinforcement learning and optimal control.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Bertsekas, Reinforcement learning and optimal control

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.205188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c26c2e7a-7ff0-4315-a9bd-d4ec21484ef2 · outbound

This paper cites DeepSI: Interactive deep learning for semantic interaction,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art DeepSI: Interactive deep learning for semantic interaction,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.210155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e21c1ef4-c454-423c-895f-08687e610ce2 · outbound

This paper cites On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.215386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dd7f7ec-8d4b-4287-8d92-7889659c52b9 · outbound

This paper cites an unresolved cited work.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.219808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea041d3c-0637-4db4-8b43-291238bcb240 · outbound

This paper cites an unresolved cited work.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.224722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601fc0fc-ad41-49e4-8dd3-447cf8083ea5 · outbound

This paper cites On gradients and hybrid evolutionary algorithms for real-valued multiobjective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art On gradients and hybrid evolutionary algorithms for real-valued multiobjective optimization,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.229354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647c8040-8cfd-425c-ac89-918bc929310d · outbound

This paper cites Enhancing multi-objective optimisation through machine learning-supported multiphysics simulation,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Enhancing multi-objective optimisation through machine learning-supported multiphysics simulation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.233778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da19b693-d626-4fb9-b505-1040bfd19f63 · outbound

This paper cites A survey on active learning and human-in-the-loop deep learning for medical image analysis,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A survey on active learning and human-in-the-loop deep learning for medical image analysis,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.238844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7796dd2d-e032-49ff-8723-247ac492d4ea · outbound

This paper cites MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.243358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d6e6bb-7b0b-446a-ad5f-54c8776357b8 · outbound

This paper cites A Bregman learning framework for sparse neural networks,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A Bregman learning framework for sparse neural networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.248540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c7786bb-4bf9-4581-9070-de19c6aef120 · outbound

This paper cites Ad-dmkde: Anomaly detection through density matrices and fourier features,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Ad-dmkde: Anomaly detection through density matrices and fourier features,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.253267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a2723fe-ea68-43a9-b172-0d0a43daa756 · outbound

This paper cites Deep clustering for unsupervised learning of visual features,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Deep clustering for unsupervised learning of visual features,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.257494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6f1681-f4d5-4855-a1c0-9b1d2989601f · outbound

This paper cites EMORL: Effective multi-objective reinforcement learning method for hyperparameter optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art EMORL: Effective multi-objective reinforcement learning method for hyperparameter optimization,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.261977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9063d768-ab74-438f-9a39-be9c32689151 · outbound

This paper cites Semi-supervised and unsupervised deep visual learning: A survey,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Semi-supervised and unsupervised deep visual learning: A survey,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.267142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7777e722-c1fa-462d-a55f-fbb7b0b30fb6 · outbound

This paper cites A tutorial on kernel density estimation and recent ad- vances,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A tutorial on kernel density estimation and recent ad- vances,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.271654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93747314-843f-402c-847e-08145e2522f3 · outbound

This paper cites Pareto self- supervised training for few-shot learning,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Pareto self- supervised training for few-shot learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.276239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8b083a-682d-464a-bfce-35ec7fa515e7 · outbound

This paper cites Handling computationally expensive multiobjective optimization problems with evolutionary algorithms-a survey,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Handling computationally expensive multiobjective optimization problems with evolutionary algorithms-a survey,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.281501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e2af90-98c7-4d88-aabf-a34c1b28ec82 · outbound

This paper cites an unresolved cited work.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.286325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118ecdc1-e6ec-4d01-9f63-34846216f092 · outbound

This paper cites an unresolved cited work.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.292330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f146cf11-98dd-4040-9cea-589e769ed76a · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A fast and elitist multiobjective genetic algorithm: NSGA-II,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.297823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc5aa2d8-64cb-48a2-886e-a95d492566dc · outbound

This paper cites Surrogate modeling approaches for multiobjective optimization: Methods, taxonomy, and results,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Surrogate modeling approaches for multiobjective optimization: Methods, taxonomy, and results,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.303043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27f75ff4-e503-45fb-a695-80d2e4916926 · outbound

This paper cites Magnetic control of tokamak plasmas through deep reinforcement learning,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Magnetic control of tokamak plasmas through deep reinforcement learning,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.307588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80d1347d-cbed-4195-9a4f-316867398ce3 · outbound

This paper cites Covering pareto sets by multilevel subdivision techniques,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Covering pareto sets by multilevel subdivision techniques,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.312168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2f9799-3c52-4461-9c55-4cb969db8b06 · outbound

This paper cites Static video summarization with multi-objective constrained optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Static video summarization with multi-objective constrained optimization,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.316726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e96e3db1-78d1-4dc2-916f-868116109117 · outbound

This paper cites Survey on unsupervised learning methods for optical flow estimation,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Survey on unsupervised learning methods for optical flow estimation,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.321455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2734c0c-fa8b-40d9-861e-330cf0a2a454 · outbound

This paper cites Generative multi-adversarial networks,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Generative multi-adversarial networks,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.326449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e7df0c-8184-4778-aa25-d3208e0905b9 · outbound

This paper cites Multiple-gradient descent algorithm (MGDA) for mul- tiobjective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multiple-gradient descent algorithm (MGDA) for mul- tiobjective optimization,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.331205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaadb89e-29d2-4850-a247-b6a375060c46 · outbound

This paper cites Ehrgott, Multicriteria optimization, 2nd ed.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Ehrgott, Multicriteria optimization, 2nd ed

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.335878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7d4aa8-1250-4b09-a05a-ee1b77333ae3 · outbound

This paper cites An adaptive scalarization method in multiobjective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art An adaptive scalarization method in multiobjective optimization,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.341628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c956fe8-a965-4c89-99f9-30d7b96e2d86 · outbound

This paper cites Efficient multi-objective neural architecture search via Lamarckian evolution,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Efficient multi-objective neural architecture search via Lamarckian evolution,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.346345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 368aa3d6-3326-4d77-ab63-9f0067d9dc05 · outbound

This paper cites Neural architecture search: A survey,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Neural architecture search: A survey,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.351272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde455b3-8402-41bf-8a57-3a7869fbd85a · outbound

This paper cites Pareto navigator for interactive nonlinear multiobjective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Pareto navigator for interactive nonlinear multiobjective optimization,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.356624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01bae65a-ced6-4436-a943-7b1bc2578a84 · outbound

This paper cites Multi-objective reinforcement learning based on decomposition: A taxonomy and framework,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-objective reinforcement learning based on decomposition: A taxonomy and framework,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.362186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b690fd-799e-4841-9d53-29c87abde049 · outbound

This paper cites Multi-objective adversarial gesture generation,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-objective adversarial gesture generation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.367410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf2979d2-68cc-488a-a88f-3b55d1f64c34 · outbound

This paper cites Newton’s method for multiobjective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Newton’s method for multiobjective optimization,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.372124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81aae381-a8f0-4c30-b02a-e8a687bc796a · outbound

This paper cites Steepest descent methods for multicriteria optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Steepest descent methods for multicriteria optimization,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.376885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913b43b4-b8c9-42a5-9d75-c60988a5b79e · outbound

This paper cites A method for constrained multiobjective optimization based on sqp techniques,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A method for constrained multiobjective optimization based on sqp techniques,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.382357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 208c91f5-c0b4-4990-84ea-0b616b953d42 · outbound

This paper cites An overview of evolutionary algorithms in multiobjective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art An overview of evolutionary algorithms in multiobjective optimization,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.387062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c60b3d-22a6-48a6-ba65-d088e6cd9445 · outbound

This paper cites DessiLBI: Exploring structural sparsity of deep networks via differential inclusion paths,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art DessiLBI: Exploring structural sparsity of deep networks via differential inclusion paths,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.393138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea885003-2501-4390-ae70-588c051b0054 · outbound

This paper cites Exploring structural sparsity of deep networks via inverse scale spaces,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Exploring structural sparsity of deep networks via inverse scale spaces,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.397678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06595c82-49a5-4b72-bd9b-079c14389f33 · outbound

This paper cites Mpgan: Multi pareto generative adversarial network for the denoising and quantitative analysis of low-dose pet images of human brain,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Mpgan: Multi pareto generative adversarial network for the denoising and quantitative analysis of low-dose pet images of human brain,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.402265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdaded2f-8b71-466c-ba96-cedf50e41e21 · outbound

This paper cites An Efficient Descent Method for Locally Lip- schitz Multiobjective Optimization Problems,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art An Efficient Descent Method for Locally Lip- schitz Multiobjective Optimization Problems,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.407148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a71c08f-d446-4aae-9181-e2d8de17d179 · outbound

This paper cites A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.411564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc494e8-754e-4eed-b5ef-77a0888b49db · outbound

This paper cites On the hierarchical structure of Pareto critical sets,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art On the hierarchical structure of Pareto critical sets,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.416044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5fd57dd-a096-4b54-a794-2acd28eff0ae · outbound

This paper cites Unsupervised band selection based on evolutionary multiobjective optimization for hyperspectral images,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Unsupervised band selection based on evolutionary multiobjective optimization for hyperspectral images,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.420468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772b32dc-b319-4e06-8720-a8b9ae83dcb9 · outbound

This paper cites Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.425596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b23b43-554e-486b-a5a2-f35f0222fe4f · outbound

This paper cites Goodfellow, Y.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Goodfellow, Y

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.430325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3156c659-bcab-4bd4-a19c-9eeb7b1cfa0d · outbound

This paper cites Generative adversarial nets,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Generative adversarial nets,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.435563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f6fea67-fcb3-47d0-bd00-67c35adadef5 · outbound

This paper cites A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.440058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7371f3a-2de5-4944-b49c-6215a3edc368 · outbound

This paper cites Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:19:52.863782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d44bf095-c3b7-45e8-879b-e56bf98e63c2 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.451267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dc4e224-8035-4d26-922b-9ffd96ac053f · outbound

This paper cites Kill two birds with one stone: A multi-view multi-adversarial learning approach for joint air quality and weather prediction,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Kill two birds with one stone: A multi-view multi-adversarial learning approach for joint air quality and weather prediction,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.456259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8757acda-ba06-4c45-aec9-c27e093d1893 · outbound

This paper cites Feature subset selection in unsupervised learning via multiobjective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Feature subset selection in unsupervised learning via multiobjective optimization,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.460873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ef5e08-e1d2-4e95-88b4-628fa28c90e5 · outbound

This paper cites Hastie, R.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Hastie, R

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.465726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84159b04-60b6-4f52-b2c9-f213f73e15b7 · outbound

This paper cites A practical guide to multi- objective reinforcement learning and planning,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A practical guide to multi- objective reinforcement learning and planning,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.470303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cf6884e-b2f4-45d8-a38f-596553d591f6 · outbound

This paper cites Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs).

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:19:52.840795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ee17009-8ce7-4be7-81b1-cc50a81ec525 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Masked autoencoders are scalable vision learners,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.480130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4594a6fa-197a-4f19-ac27-b49f50e2fbd6 · outbound

This paper cites Hillermeier, Nonlinear Multiobjective Optimization: A Generalized Homotopy Approach.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Hillermeier, Nonlinear Multiobjective Optimization: A Generalized Homotopy Approach

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.484687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9429c6-7c75-4479-b550-132319012c03 · outbound

This paper cites Multi-objective optimiza- tion for sparse deep multi-task learning,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-objective optimiza- tion for sparse deep multi-task learning,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.489753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5960275-c05b-4a83-8c4a-28407350daeb · outbound

This paper cites Enhancing Adversarial Robustness through Multi-Objective Representation Learning.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Enhancing Adversarial Robustness through Multi-Objective Representation Learning

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:19:52.819575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93f6adfb-f1a6-49cb-a17a-09e8809227c7 · outbound

This paper cites A generative Kriging surrogate model for constrained and unconstrained multi-objective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A generative Kriging surrogate model for constrained and unconstrained multi-objective optimization,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.499130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0356914d-19dc-4374-847f-231b59306f72 · outbound

This paper cites Multi-objective GFlowNets,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-objective GFlowNets,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.504166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e5db9f8-5b7e-45d4-92a7-eb0702028bda · outbound

This paper cites Visual Representation Learning with Stochastic Frame Prediction.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Visual Representation Learning with Stochastic Frame Prediction

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.508905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bdecba-efd0-487a-bb1b-b13591f27f7d · outbound

This paper cites Feature dimensionality reduction: a review,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Feature dimensionality reduction: a review,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.513661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04076228-4f41-4c67-8eb1-dd678e4d74d3 · outbound

This paper cites Jin, Ed., Multi-Objective Machine Learning.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Jin, Ed., Multi-Objective Machine Learning

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.519053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c293e667-7c3e-4301-a569-35e8b41ddd20 · outbound

This paper cites Pareto-based multiobjective machine learning: An overview and case studies,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Pareto-based multiobjective machine learning: An overview and case studies,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.523894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4b5d64-83e5-4987-9f81-2bfbc1f36fce · outbound

This paper cites Evolutionary multi-objective opti- mization of spiking neural networks,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Evolutionary multi-objective opti- mization of spiking neural networks,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.528580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a1d2f4-d5a1-47c6-ad6d-13848b3685a3 · outbound

This paper cites Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.533011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65442d86-fe5c-4571-bb54-e136024ce8b9 · outbound

This paper cites Multi-objective hyperparameter optimization in machine learning—an overview,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-objective hyperparameter optimization in machine learning—an overview,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.537904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed7bc697-a1b3-4cc8-bda3-66a8481fb200 · outbound

This paper cites Physics-informed machine learning,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Physics-informed machine learning,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.542777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3c1fa1-db3d-4229-bca9-eb4f4ad4a4db · outbound

This paper cites A conic scalarization method in multi-objective opti- mization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A conic scalarization method in multi-objective opti- mization,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.547263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bed391f-4c8e-4157-b57e-e39185cb6bd1 · outbound

This paper cites A Survey of the Self Supervised Learning Mechanisms for Vision Transformers.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art A Survey of the Self Supervised Learning Mechanisms for Vision Transformers

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.551717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d23acbe-22c9-4182-a66f-95a1116105b5 · outbound

This paper cites Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:19:52.749452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51c3044b-eab2-490d-ae77-de79bbfed714 · outbound

This paper cites MDARTS: Multi-objective differentiable neural architecture search,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art MDARTS: Multi-objective differentiable neural architecture search,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.562259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc1468b7-7459-460f-abbe-f3e5721de726 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Adam: A Method for Stochastic Optimization

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.567420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1887f6c6-941c-4d5e-ace8-3e8b13f9e1dd · outbound

This paper cites Auto-Encoding Variational Bayes.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Auto-Encoding Variational Bayes

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.572114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b4bebea-3754-4934-8c06-34dcffad57f1 · outbound

This paper cites An introduction to variational autoencoders,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art An introduction to variational autoencoders,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.576752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b7051e2-3c19-4e45-9e19-8d188a56154e · outbound

This paper cites Reinforcement learning in robotics: A survey,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Reinforcement learning in robotics: A survey,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.581904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6953c816-b8a9-4b3d-894f-3741eed8db3e · outbound

This paper cites Intensity-modulated radiotherapy - a large scale multi- criteria programming problem,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Intensity-modulated radiotherapy - a large scale multi- criteria programming problem,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.586379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f597b6-4040-470b-98ba-11dc3829d9ec · outbound

This paper cites Contrastive self-supervised learning: review, progress, challenges and future research directions,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Contrastive self-supervised learning: review, progress, challenges and future research directions,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.590928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f82aa998-5efc-4856-8811-7c0cae33f40a · outbound

This paper cites Deep learning,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Deep learning,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.595467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2eb1d42-f589-4f17-8356-1758d7eebb48 · outbound

This paper cites Lassonet: A neural network with feature sparsity,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Lassonet: A neural network with feature sparsity,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.600020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0afbccda-4ee5-438b-964f-2934c508591f · outbound

This paper cites It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.604587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd42c863-8062-4bde-9030-e0c534ae58ed · outbound

This paper cites Deep reinforcement learning for mul- tiobjective optimization,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Deep reinforcement learning for mul- tiobjective optimization,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.609383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e347c2-8ad5-440f-8088-cebb2baea595 · outbound

This paper cites Multi-augmentation contrastive learning as multi- objective optimization for graph neural networks,.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Multi-augmentation contrastive learning as multi- objective optimization for graph neural networks,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T04:19:51.614613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers