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Paper Citation Record · LEDGER

Transferability and Hardness of Supervised Classification Tasks

As of 22 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:1908.08142.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.08142 v1

Coverage vector

measured 75 of 75 reference resolution

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measured 75 of 75 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

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External citation measurements

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Outbound references

Observation f495cf6f-df15-44c6-8f38-b169419516b1 · outbound

This paper cites Task2Vec: Task Embedding for Meta-Learning.

Transferability and Hardness of Supervised Classification Tasks Task2Vec: Task Embedding for Meta-Learning

Reference 1

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Observation 2866edf6-94b1-464c-ab01-c827f30a9465 · outbound

This paper cites The Information Complexity of Learning Tasks, their Structure and their Distance.

Transferability and Hardness of Supervised Classification Tasks The Information Complexity of Learning Tasks, their Structure and their Distance

Reference 2

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Observation e786ddd0-a607-431c-90a8-fcee7a4036db · outbound

This paper cites Provable bounds for learning some deep representations.

Transferability and Hardness of Supervised Classification Tasks Provable bounds for learning some deep representations

Reference 3

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Observation 6b749680-ba59-4308-9305-75be5722eeac · outbound

This paper cites Factors of transferability for a generic convnet representation.

Transferability and Hardness of Supervised Classification Tasks Factors of transferability for a generic convnet representation

Reference 4

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Observation 1a0fcace-c9d5-4d00-98a7-6d08606cdeb1 · outbound

This paper cites Regularized learning for domain adaptation under label shifts.

Transferability and Hardness of Supervised Classification Tasks Regularized learning for domain adaptation under label shifts

Reference 5

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Observation a2f86cf1-8f06-49f1-a853-24778f41c51d · outbound

This paper cites A theory of learning from different domains.

Transferability and Hardness of Supervised Classification Tasks A theory of learning from different domains

Reference 6

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Observation 16ba6830-dfb2-4f6c-bdea-1a0d55e5691c · outbound

This paper cites Exploiting task relat- edness for multiple task learning.

Transferability and Hardness of Supervised Classification Tasks Exploiting task relat- edness for multiple task learning

Reference 7

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Observation d4d43c4c-03ad-4e84-8694-2ef5473efab9 · outbound

This paper cites Learning bounds for domain adaptation.

Transferability and Hardness of Supervised Classification Tasks Learning bounds for domain adaptation

Reference 8

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Observation 34838a44-339d-43a1-a4ad-f9b0e7fde97e · outbound

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Transferability and Hardness of Supervised Classification Tasks Unresolved cited work

Reference 9

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Observation 234b7ae1-759c-487d-ad23-7e6230427b8a · outbound

This paper cites Faceposenet: Making a case for landmark-free face alignment.

Transferability and Hardness of Supervised Classification Tasks Faceposenet: Making a case for landmark-free face alignment

Reference 10

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Observation ee984f46-a9a0-4d1b-be81-f56ab4612f46 · outbound

This paper cites Deep, landmark-free fame: Face alignment, modeling, and expression estimation.

Transferability and Hardness of Supervised Classification Tasks Deep, landmark-free fame: Face alignment, modeling, and expression estimation

Reference 11

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Observation fc001621-d362-4176-bb7e-8614788c59a2 · outbound

This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Transferability and Hardness of Supervised Classification Tasks MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Reference 12

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Observation b38e97c3-21a1-4bd1-b1c3-60f56d2f89f9 · outbound

This paper cites The loss surfaces of multilayer networks.

Transferability and Hardness of Supervised Classification Tasks The loss surfaces of multilayer networks

Reference 13

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Observation a723fe18-512b-4b26-94f2-d150f059871f · outbound

This paper cites Elements of informa- tion theory.

Transferability and Hardness of Supervised Classification Tasks Elements of informa- tion theory

Reference 14

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Observation 8c4d6a20-3e1b-490f-af5e-8f2c8e7d14fa · outbound

This paper cites On measuring the iconicity of a face.

Transferability and Hardness of Supervised Classification Tasks On measuring the iconicity of a face

Reference 15

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Observation 9412ec4e-1cc1-4700-9576-66d2ce65b586 · outbound

This paper cites Class rectifi- cation hard mining for imbalanced deep learning.

Transferability and Hardness of Supervised Classification Tasks Class rectifi- cation hard mining for imbalanced deep learning

Reference 16

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Observation b633b6a1-4645-4760-9d9a-d875ec91ac81 · outbound

This paper cites Pattern classification.

Transferability and Hardness of Supervised Classification Tasks Pattern classification

Reference 17

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Observation 44b8ce3e-804a-4e0b-8eb8-4d998104c0e9 · outbound

This paper cites Learning disentangled joint continuous and discrete representations.

Transferability and Hardness of Supervised Classification Tasks Learning disentangled joint continuous and discrete representations

Reference 18

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Observation 61dbe137-88d3-4e91-ba35-0a3ae50c1187 · outbound

This paper cites Towards a Neural Statistician.

Transferability and Hardness of Supervised Classification Tasks Towards a Neural Statistician

Reference 19

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Observation 59c4959e-72a1-4980-85fd-d92dcbc08077 · outbound

This paper cites Large- scale weakly-supervised pre-training for video action recog- nition.

Transferability and Hardness of Supervised Classification Tasks Large- scale weakly-supervised pre-training for video action recog- nition

Reference 20

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Observation a5097dd3-c007-42cc-b1b7-cd39591de77e · outbound

This paper cites MS-Celeb-1M: A dataset and benchmark for large scale face recognition.

Transferability and Hardness of Supervised Classification Tasks MS-Celeb-1M: A dataset and benchmark for large scale face recognition

Reference 21

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Observation 58e97715-34cc-43e8-98a4-a365b4f55745 · outbound

This paper cites Heterogeneous face attribute estimation: A deep multi-task learning approach.

Transferability and Hardness of Supervised Classification Tasks Heterogeneous face attribute estimation: A deep multi-task learning approach

Reference 22

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Observation af04298e-4716-4ddd-8e20-ffc07d71b803 · outbound

This paper cites Attributes for improved attributes: A multi-task network utilizing implicit and ex- plicit relationships for facial attribute classification.

Transferability and Hardness of Supervised Classification Tasks Attributes for improved attributes: A multi-task network utilizing implicit and ex- plicit relationships for facial attribute classification

Reference 23

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Observation 7595d141-2a43-42f3-ac1a-3db3bbe801a2 · outbound

This paper cites Mask r-cnn.

Transferability and Hardness of Supervised Classification Tasks Mask r-cnn

Reference 24

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Observation d3b9ef75-616d-4d01-a380-9b16b9f16ce6 · outbound

This paper cites Deep residual learning for image recognition.

Transferability and Hardness of Supervised Classification Tasks Deep residual learning for image recognition

Reference 25

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Observation fadad058-ab86-4974-8a90-f9c7ad414e70 · outbound

This paper cites Learning deep representation for imbalanced classi- fication.

Transferability and Hardness of Supervised Classification Tasks Learning deep representation for imbalanced classi- fication

Reference 26

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Observation 28c64f3c-7541-47de-917b-d8e438ec31cb · outbound

This paper cites Registration-free face-ssd: Single shot analysis of smiles, fa- cial attributes, and affect in the wild.

Transferability and Hardness of Supervised Classification Tasks Registration-free face-ssd: Single shot analysis of smiles, fa- cial attributes, and affect in the wild

Reference 27

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Observation c432ffe8-16de-4bbf-b53e-22ebf4fd3a3c · outbound

This paper cites Deep cross residual learn- ing for multitask visual recognition.

Transferability and Hardness of Supervised Classification Tasks Deep cross residual learn- ing for multitask visual recognition

Reference 28

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Observation 56f1fb19-04e4-4eae-b15c-ef42f85de724 · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics.

Transferability and Hardness of Supervised Classification Tasks Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 29

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Observation c831f97f-9b01-453c-95eb-c07d85f66d84 · outbound

This paper cites Ubernet: Training a universal convo- lutional neural network for low-, mid-, and high-level vi- sion using diverse datasets and limited memory.

Transferability and Hardness of Supervised Classification Tasks Ubernet: Training a universal convo- lutional neural network for low-, mid-, and high-level vi- sion using diverse datasets and limited memory

Reference 30

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Observation d6a70690-7569-4bf7-8a00-a6231e2b0781 · outbound

This paper cites Asymmetric multi-task learning based on task relatedness and loss.

Transferability and Hardness of Supervised Classification Tasks Asymmetric multi-task learning based on task relatedness and loss

Reference 31

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Observation ef2c90dc-211a-4bc1-a673-19c2b0a8eb4c · outbound

This paper cites Age and gender classification us- ing convolutional neural networks.

Transferability and Hardness of Supervised Classification Tasks Age and gender classification us- ing convolutional neural networks

Reference 32

Resolution
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Observation 89cc983b-3fab-4bf2-bf2a-70aca29e2216 · outbound

This paper cites Exploring disentangled feature represen- tation beyond face identification.

Transferability and Hardness of Supervised Classification Tasks Exploring disentangled feature represen- tation beyond face identification

Reference 33

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Observation 54963ac6-77cf-419e-bc8a-408fc05d949a · outbound

This paper cites Detach and adapt: Learning cross-domain disentangled deep repre- sentation.

Transferability and Hardness of Supervised Classification Tasks Detach and adapt: Learning cross-domain disentangled deep repre- sentation

Reference 34

Resolution
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Observation 681631ba-a721-47e0-aeb0-fd7463e58ec6 · outbound

This paper cites Deep learning face attributes in the wild.

Transferability and Hardness of Supervised Classification Tasks Deep learning face attributes in the wild

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f860b73a-00c4-426a-b35b-3690a2fe9d8e · outbound

This paper cites Object recognition from local scale-invariant features.

Transferability and Hardness of Supervised Classification Tasks Object recognition from local scale-invariant features

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.381840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 826c7202-2722-4c29-801c-300a55ada868 · outbound

This paper cites Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classification.

Transferability and Hardness of Supervised Classification Tasks Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classification

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.366640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.464647Z digest=sha256:b89ba85ddcfe6a4974da9e6cf4ea11e917477a01d05725501fe43b09816cc09a

Observation c43c0005-46a6-447d-8918-2fe3ec19bd19 · outbound

This paper cites Exploring the limits of weakly supervised pretraining.

Transferability and Hardness of Supervised Classification Tasks Exploring the limits of weakly supervised pretraining

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.351382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.469260Z digest=sha256:1f79e4b44e5d08312ba11d18b162c5dddd1f1bf832d645e8354c5d53be9edea4

Observation 94ee9978-28c9-4a1c-ac2c-3efb199ec29c · outbound

This paper cites Domain adaptation: Learning bounds and algorithms.

Transferability and Hardness of Supervised Classification Tasks Domain adaptation: Learning bounds and algorithms

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.336084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.475310Z digest=sha256:3387042a49392049b6e90378184794474ef35d4c128a80a16f830941fdbcb6d5

Observation d5c2596d-d73b-4d53-8ef0-c8610338484d · outbound

This paper cites an unresolved cited work.

Transferability and Hardness of Supervised Classification Tasks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:53:14.321485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.479976Z digest=sha256:f949e6a0a88fb35f33ae02de11160ad7dfd96363212e146f9993dd4ad496c83b

Observation 1885897d-85ee-456b-861c-01baa45ed21c · outbound

This paper cites Face-specific data augmentation for un- constrained face recognition.

Transferability and Hardness of Supervised Classification Tasks Face-specific data augmentation for un- constrained face recognition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.306152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.484614Z digest=sha256:a5665bdd09fecfedfe4031ecac98e4038400c98444b39bd4e62b5f746eed344f

Observation bac0dc2c-96f2-4dfa-adef-de22fa1cd7e7 · outbound

This paper cites On the method of bounded differences.

Transferability and Hardness of Supervised Classification Tasks On the method of bounded differences

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.290846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.489374Z digest=sha256:aa8b315ba0a7eb328fdd9dcd1cf0834532c49ad0ef3c815f3b237a3ee17ec7e6

Observation 0b500718-209a-4fef-8296-2d99662bbde8 · outbound

This paper cites Cross-stitch networks for multi-task learning.

Transferability and Hardness of Supervised Classification Tasks Cross-stitch networks for multi-task learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.275790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.494171Z digest=sha256:788d5096409e369e25bba37f685f0b6c9c6c71e35977b101647e11f50b371bae

Observation b6c9ab9b-a7c0-4e1d-8b07-69f944d2a140 · outbound

This paper cites Toward Understanding Catastrophic Forgetting in Continual Learning.

Transferability and Hardness of Supervised Classification Tasks Toward Understanding Catastrophic Forgetting in Continual Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T11:53:13.498902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:53:13.498902Z digest=sha256:ce0c60412751714d94003a487fb1b60e73b5846bb6010d0bed357167525cbdbc

Observation aad7a9a9-c0c4-45d6-91d8-47d6d3e4dfa2 · outbound

This paper cites Variational continual learning.

Transferability and Hardness of Supervised Classification Tasks Variational continual learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.260342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.504417Z digest=sha256:ebbe9aea59cc0560504cabea9f6c379df3f864ed58e4438182bfa56e2f328b28

Observation e1dce87e-5bec-4a10-a855-c8971b780aa2 · outbound

This paper cites The loss surface of deep and wide neural networks.

Transferability and Hardness of Supervised Classification Tasks The loss surface of deep and wide neural networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.244124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.509087Z digest=sha256:c57e1348f71dc5bb7e3306ed6c7bddc900f0ddd504cf3cfbd720239b66dd8103

Observation f75e528e-a9c6-45a6-8106-6bf092823ed6 · outbound

This paper cites On face segmentation, face swapping, and face perception.

Transferability and Hardness of Supervised Classification Tasks On face segmentation, face swapping, and face perception

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.227833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.513728Z digest=sha256:4b55f27ee072947476a601a105389c2f7875a6fb5610f89af1aeb4c739bf4181

Observation 2b8aca7d-9127-4710-beaa-9eaae02b97da · outbound

This paper cites A survey on transfer learn- ing.

Transferability and Hardness of Supervised Classification Tasks A survey on transfer learn- ing

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.211451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.518405Z digest=sha256:d92265f84dd3bd04a7a17397b034bd77539cfbfde877a1edbdae181de10dbd4b

Observation 0d23a104-ac18-447d-946d-a7a18ede19a3 · outbound

This paper cites Pedregosa, G.

Transferability and Hardness of Supervised Classification Tasks Pedregosa, G

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.195508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.523328Z digest=sha256:37cd96b220991982458c54b3daf3995bc0c56431d68b78c53e11e9927a18ff5b

Observation 3f56e99a-568f-4af1-92e8-b50e9e1f0746 · outbound

This paper cites Hy- perface: A deep multi-task learning framework for face de- tection, landmark localization, pose estimation, and gender recognition.

Transferability and Hardness of Supervised Classification Tasks Hy- perface: A deep multi-task learning framework for face de- tection, landmark localization, pose estimation, and gender recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.179648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e7b548a3-793e-4bbe-b2ca-1d2d368d560d · outbound

This paper cites An all-in-one convolutional neural net- work for face analysis.

Transferability and Hardness of Supervised Classification Tasks An all-in-one convolutional neural net- work for face analysis

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.164276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0293bc41-6243-4bd2-b690-04b519f48c57 · outbound

This paper cites CHILD: A first step towards continual learn- ing.

Transferability and Hardness of Supervised Classification Tasks CHILD: A first step towards continual learn- ing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.148802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.538256Z digest=sha256:ee3c869de79ef74f0c31136c7f2b40dcb0e20ce3850573e6b6cbc17d7e2b60c5

Observation c1462519-8ba3-4c2a-91a2-f417e1e6e057 · outbound

This paper cites Dex: Deep expectation of apparent age from a single image.

Transferability and Hardness of Supervised Classification Tasks Dex: Deep expectation of apparent age from a single image

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.133228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.544019Z digest=sha256:aea7ec4f7275f3890582c3661e2e6944be218a46d07ef73680702c17aa224efb

Observation f320a7fb-890e-41b5-882d-68cb4f2b59e8 · outbound

This paper cites Be- yond sharing weights for deep domain adaptation.

Transferability and Hardness of Supervised Classification Tasks Be- yond sharing weights for deep domain adaptation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.117945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.549059Z digest=sha256:d643305c16610693fec0ee861c75d01a5a23303b18e2a35b633a366fc0616401

Observation a418bfb3-5de5-47c5-8b2d-c8aedd6c0b44 · outbound

This paper cites Moon: A mixed objective optimization network for the recognition of facial attributes.

Transferability and Hardness of Supervised Classification Tasks Moon: A mixed objective optimization network for the recognition of facial attributes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.102360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.553876Z digest=sha256:6bf1b83a7b85552ef6dcd293f01c35c5012db7b2410f9251a0fe3bfc3f27356d

Observation 8b3dc799-5e86-4d7c-abbd-f3efd67c569e · outbound

This paper cites Meta-learning with latent embedding optimization.

Transferability and Hardness of Supervised Classification Tasks Meta-learning with latent embedding optimization

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.087253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.559165Z digest=sha256:5e2f4d080d70327dfd15f7bc8ac34f8e9a9657e95e6e550ce70bf1123535df20

Observation 242f5094-9d19-48ac-a279-6a52fcc50d5a · outbound

This paper cites Learning with kernels: support vector machines, regularization, optimiza- tion, and beyond.

Transferability and Hardness of Supervised Classification Tasks Learning with kernels: support vector machines, regularization, optimiza- tion, and beyond

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.071977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.563965Z digest=sha256:9b8b0c5a23ceaa5f08a9c1bf7e39d95335853798a1d87cdc950af2bc1bf033e1

Observation 3d00444e-468d-4de8-bd60-4d21d154231f · outbound

This paper cites Refining architectures of deep convolutional neural networks.

Transferability and Hardness of Supervised Classification Tasks Refining architectures of deep convolutional neural networks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.056363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.568926Z digest=sha256:42a7787d62e720e830373e5fdd1184e3c17c6496fb3db7df0b7f8e39fb59aaba

Observation 33519cdc-c351-41b1-87da-dbcc966365ec · outbound

This paper cites Unbiased look at dataset bias.

Transferability and Hardness of Supervised Classification Tasks Unbiased look at dataset bias

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.040451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.573499Z digest=sha256:22248f77b66ffa851e15ce500c0b5bcc8d7fc92fb89a6f228ad69b815f34ed21

Observation 9d76c2eb-3bbc-4ee9-93b4-b89201d09359 · outbound

This paper cites Extreme 3D face reconstruc- tion: Looking past occlusions.

Transferability and Hardness of Supervised Classification Tasks Extreme 3D face reconstruc- tion: Looking past occlusions

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.023868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.578170Z digest=sha256:bc72d4351b61631ce0083be44f5a6b729625699f223d53752577e3f616be65db

Observation 11351b34-6b31-4116-85a3-8775054e0475 · outbound

This paper cites Conditional similarity networks.

Transferability and Hardness of Supervised Classification Tasks Conditional similarity networks

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.007431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.583624Z digest=sha256:50c1ef3d7710483686ca4c0f58e9ac89311da3349f4b9f46d7af4b079b212ade

Observation 074dd2e0-4b1b-4721-8223-919b1cf0efbb · outbound

This paper cites Cos- face: Large margin cosine loss for deep face recognition.

Transferability and Hardness of Supervised Classification Tasks Cos- face: Large margin cosine loss for deep face recognition

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.991936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.588880Z digest=sha256:d497acdb1cb5d282bfed72e82b8f45ac5183229134c371aebcfc9c4ba60b181e

Observation 109f1f1b-3faa-430c-8498-48250c474348 · outbound

This paper cites Walk and learn: Facial attribute representation learning from egocen- tric video and contextual data.

Transferability and Hardness of Supervised Classification Tasks Walk and learn: Facial attribute representation learning from egocen- tric video and contextual data

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.976084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.593618Z digest=sha256:59130edc487e9d8abb2d5816f4eb4a46f15f8b812b5807a7057feeb343b743e5

Observation 98da3e03-ba8f-43c7-9dfd-7948f9329c38 · outbound

This paper cites Towards unified depth and seman- tic prediction from a single image.

Transferability and Hardness of Supervised Classification Tasks Towards unified depth and seman- tic prediction from a single image

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.961171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.598340Z digest=sha256:874d9638687cf9b3f941234e77f82d9970a0ba31585035e20c2fc0e99323fe23

Observation ffd79386-2537-4a2f-af2e-dab744f591f4 · outbound

This paper cites A survey of transfer learning.

Transferability and Hardness of Supervised Classification Tasks A survey of transfer learning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.946288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.602911Z digest=sha256:0cf1ecdacaa6c8a7e36baaf38e8fa5bee181be296f0e9e6814c6940e7c8ad4f9

Observation 7390f2cc-5617-4e1e-8d28-4a3776371d48 · outbound

This paper cites Welinder, S.

Transferability and Hardness of Supervised Classification Tasks Welinder, S

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.930615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.607524Z digest=sha256:e3bd15eda0c88eb84bc44bb9e6443965b7d7363d76c91ff9d8efc36d6aa1f48d

Observation 6b912ac1-54f1-4d8c-936b-025507fcab74 · outbound

This paper cites Zero-shot learning-a comprehensive evalu- ation of the good, the bad and the ugly.

Transferability and Hardness of Supervised Classification Tasks Zero-shot learning-a comprehensive evalu- ation of the good, the bad and the ugly

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.915570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.612424Z digest=sha256:c4c0c6bae21720cdbcbcf3a35d426a406fc1933d27795f944cadf2bfda72a728

Observation b00a8725-9c4b-4844-bed7-aaa390526098 · outbound

This paper cites Deep multi-task representation learning: A tensor factorisation approach.

Transferability and Hardness of Supervised Classification Tasks Deep multi-task representation learning: A tensor factorisation approach

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.899547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.617230Z digest=sha256:6194ed419b2c9352a058877bd2b35d2d199dd08f7aa6c44ebae9a049c383467d

Observation a74c9201-ffa2-4207-a0bf-6d24775bf9aa · outbound

This paper cites Transfer learning via learning to transfer.

Transferability and Hardness of Supervised Classification Tasks Transfer learning via learning to transfer

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.882414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.622124Z digest=sha256:daad3e04c6300de4ef43b3b2c7117f1e7e126958deda9595c09bd2abd76b3b96

Observation c87d9b1b-2065-48e3-9b13-5a8201bc3622 · outbound

This paper cites How transferable are features in deep neural networks? In Neural Inform.

Transferability and Hardness of Supervised Classification Tasks How transferable are features in deep neural networks? In Neural Inform

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.866455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.626769Z digest=sha256:1d723a161300f5a6854601f3409cab2218ffec28a392d28dfa0dff3d7f4fccf8

Observation 10df263f-4dad-4d72-870b-315cb256a6a6 · outbound

This paper cites Taskonomy: Disentangling task transfer learning.

Transferability and Hardness of Supervised Classification Tasks Taskonomy: Disentangling task transfer learning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.849232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.631640Z digest=sha256:0cb2d22e8fe18300827bab73d8f744e43fe4301f3a98fbe3d1a74042b5717610

Observation 8524868d-718a-4201-a6bd-bedec8260240 · outbound

This paper cites Understanding deep learning re- quires rethinking generalization.

Transferability and Hardness of Supervised Classification Tasks Understanding deep learning re- quires rethinking generalization

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.833008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.636347Z digest=sha256:61357ac30691711c41d0941eca8fe5b16ad16ea2552759285d21159694a6b820

Observation d3f3770f-ac65-4614-b8d3-dd1a6e711544 · outbound

This paper cites A modulation module for multi-task learning with applications in image retrieval.

Transferability and Hardness of Supervised Classification Tasks A modulation module for multi-task learning with applications in image retrieval

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.815996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.641059Z digest=sha256:d19ad4c7ca96d4c2cfb876cde2d3f53bd3bd9d1b19d727ae09af871d2d43af74

Observation dd5fc34a-3019-4172-a47e-5c8e22b45118 · outbound

This paper cites (6) in the paper).

Transferability and Hardness of Supervised Classification Tasks (6) in the paper)

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.799286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.645454Z digest=sha256:c0ef6ef3f92c561badd3a4897c0bacc9412e95c87d82c64d4e301cc1d088bf05

Observation a80c0f57-fc9c-4133-8dba-53c36e4e1e75 · outbound

This paper cites (17) above.

Transferability and Hardness of Supervised Classification Tasks (17) above

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.783557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:53:13.650204Z digest=sha256:117a153e29aa87cf1b39e287329cdd4bf1624f333936a67fc1d7666db9f3912f

Pith citing papers

No inbound Pith citation observations are available.