SLAD : Shared LoRA Adapters for Task Specific Distillation | Paper Citation Record

Observation 577210aa-2d68-4461-90c6-60eee0b240dd · outbound

This paper cites Understanding inter- mediate layers using linear classifier probes, 2017.

SLAD : Shared LoRA Adapters for Task Specific Distillation Understanding inter- mediate layers using linear classifier probes, 2017

Reference 1

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Observation 45009519-fc68-4c24-8114-3e4403d8c07f · outbound

This paper cites Zhang, Hemanth Saratchandran, Cristian Rodriguez-Opazo, Anton van den Hengel, and Ehsan Abbasnejad.

SLAD : Shared LoRA Adapters for Task Specific Distillation Zhang, Hemanth Saratchandran, Cristian Rodriguez-Opazo, Anton van den Hengel, and Ehsan Abbasnejad

Reference 2

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Observation c1be8197-fffc-4b9e-8b64-8644555b51d7 · outbound

This paper cites Do deep nets really need to be deep? InAdvances in Neural Information Processing Systems.

SLAD : Shared LoRA Adapters for Task Specific Distillation Do deep nets really need to be deep? InAdvances in Neural Information Processing Systems

Reference 3

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Observation 16e8b368-83ec-40ef-a209-c125471458ac · outbound

This paper cites Bit- Fit: Simple parameter-efficient fine-tuning for transformer- based masked language-models.

SLAD : Shared LoRA Adapters for Task Specific Distillation Bit- Fit: Simple parameter-efficient fine-tuning for transformer- based masked language-models

Reference 4

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Observation 6ffc743a-820a-4f8a-aae1-1f68c8b81ff5 · outbound

This paper cites A novel benchmark for few-shot semantic segmen- tation in the era of foundation models, 2024.

SLAD : Shared LoRA Adapters for Task Specific Distillation A novel benchmark for few-shot semantic segmen- tation in the era of foundation models, 2024

Reference 5

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Observation 3eedf252-4f0a-44e1-867a-f74958d7962e · outbound

This paper cites Knowledge dis- tillation: A good teacher is patient and consistent.

SLAD : Shared LoRA Adapters for Task Specific Distillation Knowledge dis- tillation: A good teacher is patient and consistent

Reference 6

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Observation aeb479e3-2a8c-4aa7-9c3a-e78f77e34d3c · outbound

This paper cites AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition.

SLAD : Shared LoRA Adapters for Task Specific Distillation AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Reference 7

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Observation 94a0a734-fae6-4bf8-8c59-5688c237e55b · outbound

This paper cites Cimpoi, S.

SLAD : Shared LoRA Adapters for Task Specific Distillation Cimpoi, S

Reference 8

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Observation 2fd892e7-7a9f-4bf1-922b-61f4200940b5 · outbound

This paper cites The cityscapes dataset.

SLAD : Shared LoRA Adapters for Task Specific Distillation The cityscapes dataset

Reference 9

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Observation 8169c524-8468-47e6-8250-cd87470a9e68 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

SLAD : Shared LoRA Adapters for Task Specific Distillation The cityscapes dataset for semantic urban scene understanding

Reference 10

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Observation ad1386bc-d64e-46d5-9ce4-ea96ea2416a8 · outbound

This paper cites On the effective- ness of layernorm tuning for continual learning in vision transformers.

SLAD : Shared LoRA Adapters for Task Specific Distillation On the effective- ness of layernorm tuning for continual learning in vision transformers

Reference 11

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Observation b5ccc51a-582c-448d-8cf2-77593773d62c · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

SLAD : Shared LoRA Adapters for Task Specific Distillation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 12

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Observation d3403eca-6609-4ec8-96a9-03838ba49ae0 · outbound

This paper cites Eva-02: A visual representation for neon genesis.Image and Vision Computing, 149:105171,.

SLAD : Shared LoRA Adapters for Task Specific Distillation Eva-02: A visual representation for neon genesis.Image and Vision Computing, 149:105171,

Reference 13

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Observation 3de98113-cc12-4bb9-899d-12910aaf4da9 · outbound

This paper cites Maybank, and Dacheng Tao.

SLAD : Shared LoRA Adapters for Task Specific Distillation Maybank, and Dacheng Tao

Reference 14

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Observation 89937888-5b04-482c-9fe9-836cc5c1d47d · outbound

This paper cites Collaborative knowl- edge distillation via multiknowledge transfer.IEEE Trans- actions on Neural Networks and Learning Systems, 35(5): 6718–6730, 2024.

SLAD : Shared LoRA Adapters for Task Specific Distillation Collaborative knowl- edge distillation via multiknowledge transfer.IEEE Trans- actions on Neural Networks and Learning Systems, 35(5): 6718–6730, 2024

Reference 15

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Observation 2aa3062b-8ec4-41af-9248-e2523b281afe · outbound

This paper cites Parameter-efficient fine-tuning for large models: A comprehensive survey.Transactions on Machine Learning Research, 2024.

SLAD : Shared LoRA Adapters for Task Specific Distillation Parameter-efficient fine-tuning for large models: A comprehensive survey.Transactions on Machine Learning Research, 2024

Reference 16

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Observation bf628cab-eee1-4d26-85a7-b28441faf486 · outbound

This paper cites Masked autoencoders are scalable vision learners.

SLAD : Shared LoRA Adapters for Task Specific Distillation Masked autoencoders are scalable vision learners

Reference 17

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Observation 17e96b90-80a1-4988-a1cc-b7fd5b6c244c · outbound

This paper cites Distilling the knowledge in a neural network, 2015.

SLAD : Shared LoRA Adapters for Task Specific Distillation Distilling the knowledge in a neural network, 2015

Reference 18

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Observation bf55e172-ced2-4fa6-ad69-2d18a3c0af27 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

SLAD : Shared LoRA Adapters for Task Specific Distillation LoRA: Low-rank adaptation of large language models

Reference 19

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Observation ad5e81cd-cc04-4730-b3d9-735c44fccb15 · outbound

This paper cites Generic-to-specific distillation of masked autoencoders.IEEE Transactions on Circuits and Systems for Video Technology, 34(9):8779–8793, 2024.

SLAD : Shared LoRA Adapters for Task Specific Distillation Generic-to-specific distillation of masked autoencoders.IEEE Transactions on Circuits and Systems for Video Technology, 34(9):8779–8793, 2024

Reference 20

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Observation c17fcb49-fff9-4898-830b-11471da1111d · outbound

This paper cites Like what you like: Knowl- edge distill via neuron selectivity transfer, 2017.

SLAD : Shared LoRA Adapters for Task Specific Distillation Like what you like: Knowl- edge distill via neuron selectivity transfer, 2017

Reference 21

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Observation a7d81d19-d002-4e3e-a697-6cb299bb1530 · outbound

This paper cites Vi- sual prompt tuning.

SLAD : Shared LoRA Adapters for Task Specific Distillation Vi- sual prompt tuning

Reference 22

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Observation ad040874-0b05-48e5-8cd0-3ebe44b02f4c · outbound

This paper cites Vi- sual prompt tuning.

SLAD : Shared LoRA Adapters for Task Specific Distillation Vi- sual prompt tuning

Reference 23

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Observation 020fc7c5-3595-455e-ac4c-7beb554e8e45 · outbound

This paper cites Tinybert: Dis- tilling bert for natural language understanding, 2020.

SLAD : Shared LoRA Adapters for Task Specific Distillation Tinybert: Dis- tilling bert for natural language understanding, 2020

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T08:31:23.673133Z

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Observation 0e0a8824-e8ee-4666-9a58-a416199d1761 · outbound

This paper cites How to benchmark vision foundation models for semantic seg- mentation? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Work- shops, 2024.

SLAD : Shared LoRA Adapters for Task Specific Distillation How to benchmark vision foundation models for semantic seg- mentation? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Work- shops, 2024

Reference 25

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Observation 5d29583b-21fe-43db-b71c-a17c0ad4eca1 · outbound

This paper cites How to adapt your large-scale vision-and-language model, 2022.

SLAD : Shared LoRA Adapters for Task Specific Distillation How to adapt your large-scale vision-and-language model, 2022

Reference 26

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Observation 368960d8-fef4-4f70-ad52-ba3e3f5664f6 · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska- Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Ku- maran, and Raia Hadsell.

SLAD : Shared LoRA Adapters for Task Specific Distillation Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska- Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Ku- maran, and Raia Hadsell

Reference 27

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Observation f1cc5d42-695f-4215-ab0e-9105baf50429 · outbound

This paper cites VeRA: Vector-based random matrix adaptation.

SLAD : Shared LoRA Adapters for Task Specific Distillation VeRA: Vector-based random matrix adaptation

Reference 28

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Observation 59e4b6d5-416a-4e98-8403-8cd5fd3365db · outbound

This paper cites Similarity of neural network represen- tations revisited.

SLAD : Shared LoRA Adapters for Task Specific Distillation Similarity of neural network represen- tations revisited

Reference 29

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Observation 6fd86ce8-5212-488d-afec-5e56e8dca0df · outbound

This paper cites Kullback and R.

SLAD : Shared LoRA Adapters for Task Specific Distillation Kullback and R

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T08:31:23.673133Z

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Observation 2ba8b7e4-6a51-41ca-b6e0-6645d47aa15d · outbound

This paper cites Scaling down to scale up: A guide to parameter- efficient fine-tuning, 2024.

SLAD : Shared LoRA Adapters for Task Specific Distillation Scaling down to scale up: A guide to parameter- efficient fine-tuning, 2024

Reference 31

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Observation daa643db-4975-4a20-92fb-32ae26dafdad · outbound

This paper cites Inflora: Interference-free low-rank adaptation for continual learning.

SLAD : Shared LoRA Adapters for Task Specific Distillation Inflora: Interference-free low-rank adaptation for continual learning

Reference 32

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Observation 7217d62d-dba8-4eff-a795-fb91664b2885 · outbound

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SLAD : Shared LoRA Adapters for Task Specific Distillation Unresolved cited work

Reference 33

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Observation 998108ae-aff0-4cab-bdf7-738110420de0 · outbound

This paper cites On good practices for task-specific distillation of large pretrained visual models.Transactions on Machine Learning Research, 2024.

SLAD : Shared LoRA Adapters for Task Specific Distillation On good practices for task-specific distillation of large pretrained visual models.Transactions on Machine Learning Research, 2024

Reference 34

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Observation 626e7c6f-fdbd-46a9-8814-be6263ac0070 · outbound

This paper cites Improved Knowledge Distillation via Teacher Assistant.

SLAD : Shared LoRA Adapters for Task Specific Distillation Improved Knowledge Distillation via Teacher Assistant

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:14.912997Z

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Observation 9dec40a9-c0aa-4b7b-a900-7302c8f7914f · outbound

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SLAD : Shared LoRA Adapters for Task Specific Distillation Unresolved cited work

Reference 36

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Observation 1557073c-4cd7-4740-8e69-ab0d8bb484c5 · outbound

This paper cites Rela- tional knowledge distillation.

SLAD : Shared LoRA Adapters for Task Specific Distillation Rela- tional knowledge distillation

Reference 37

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Observation d0f50775-f78f-4c37-b6cc-13b0eb797a0c · outbound

This paper cites Learning transferable visual models from natural language supervision.

SLAD : Shared LoRA Adapters for Task Specific Distillation Learning transferable visual models from natural language supervision

Reference 38

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Observation 78239e70-85a5-4064-bb58-47aab97a686e · outbound

This paper cites Fitnets: Hints for thin deep nets.

SLAD : Shared LoRA Adapters for Task Specific Distillation Fitnets: Hints for thin deep nets

Reference 39

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Observation 7ee855ad-c967-4e37-8648-f9b953a392ce · outbound

This paper cites Singular value fine-tuning: Few- shot segmentation requires few-parameters fine-tuning.

SLAD : Shared LoRA Adapters for Task Specific Distillation Singular value fine-tuning: Few- shot segmentation requires few-parameters fine-tuning

Reference 40

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Observation 8884e67d-2fea-4ece-b3cc-0ebc88bdf8b9 · outbound

This paper cites Singular value fine-tuning: Few-shot segmentation requires few-parameters fine-tuning.

SLAD : Shared LoRA Adapters for Task Specific Distillation Singular value fine-tuning: Few-shot segmentation requires few-parameters fine-tuning

Reference 41

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Observation f2a5e18b-3079-477c-ad9c-ac94ae22ec89 · outbound

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SLAD : Shared LoRA Adapters for Task Specific Distillation Unresolved cited work

Reference 42

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Observation f1623085-d79c-4272-b54e-ac4f4f3b27ca · outbound

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SLAD : Shared LoRA Adapters for Task Specific Distillation Unresolved cited work

Reference 43

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Observation be4b85d8-44bb-43d0-be32-84e6edaaab0c · outbound

This paper cites Continual learning with low rank adaptation.

SLAD : Shared LoRA Adapters for Task Specific Distillation Continual learning with low rank adaptation

Reference 44

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Observation 211fdb5a-3434-410c-851c-1457c2f1dedc · outbound

This paper cites Tinyvit: Fast pretraining distillation for small vision transformers.

SLAD : Shared LoRA Adapters for Task Specific Distillation Tinyvit: Fast pretraining distillation for small vision transformers

Reference 45

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Observation 4c383039-6b09-4da0-8523-eded60570a28 · outbound

This paper cites DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices .IEEE Transactions on Mobile Computing, 23(05):5917– 5932, 2024.

SLAD : Shared LoRA Adapters for Task Specific Distillation DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices .IEEE Transactions on Mobile Computing, 23(05):5917– 5932, 2024

Reference 46

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Observation 86ee153f-57c6-460c-b9a9-1d27e585adcc · outbound

This paper cites Paying more at- tention to attention: Improving the performance of convolu- tional neural networks via attention transfer.

SLAD : Shared LoRA Adapters for Task Specific Distillation Paying more at- tention to attention: Improving the performance of convolu- tional neural networks via attention transfer

Reference 47

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Observation 5b6b5745-d0e9-4faf-811f-5225562bc849 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

SLAD : Shared LoRA Adapters for Task Specific Distillation Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 48

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Observation 362013b2-29b7-4a3b-843d-fc8c17f9390a · outbound

This paper cites Hospedales, and Huchuan Lu.

SLAD : Shared LoRA Adapters for Task Specific Distillation Hospedales, and Huchuan Lu

Reference 49

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Observation 2b3d5488-dfb8-4af9-b3b8-90cf5360a64d · outbound

This paper cites Effect of LoRA Rank We evaluate the sensitivity of SLAD to the rankrof the LoRA adapters on CUB (ViT-B→ViT-S).

SLAD : Shared LoRA Adapters for Task Specific Distillation Effect of LoRA Rank We evaluate the sensitivity of SLAD to the rankrof the LoRA adapters on CUB (ViT-B→ViT-S)

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:14.909944Z

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Observation dcef6daa-6ab5-4a7d-8814-b76ff227920a · outbound

This paper cites an unresolved cited work.

SLAD : Shared LoRA Adapters for Task Specific Distillation Unresolved cited work

Reference 51

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Observation 458f40c8-f08d-4f9e-b734-ee8b68fdbad7 · outbound

This paper cites Training Efficiency Standard task-specific distillation requires sequential train- ing of teacher and student, whereas SLAD jointly trains both models in a single stage.

SLAD : Shared LoRA Adapters for Task Specific Distillation Training Efficiency Standard task-specific distillation requires sequential train- ing of teacher and student, whereas SLAD jointly trains both models in a single stage

Reference 52

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