equivariant adaptation of large pretrained models - SERP Analysis

https://arxiv.org/abs/2310.01647

https://proceedings.neurips.cc/paper_files/paper/2023/file/9d5856318032ef3630cb580f4e24f823-Paper-Conference.pdf

https://openreview.net/forum?id=m6dRQJw280&noteId=1oeemT4Fvz

https://neurips.cc/virtual/2023/poster/70561

https://gram-blogposts.github.io/blog/2024/towards-equivariant-adaptation/

https://github.com/arnab39/equiadapt

https://dl.acm.org/doi/10.5555/3666122.3668309

https://scispace.com/papers/equivariant-adaptation-of-large-pre-trained-models-4d5arc81qq

https://equivision.github.io/posters/16_equiadapt.pdf

https://bibbase.org/network/publication/mondal-panigrahi-kaba-rajeswar-ravanbakhsh-equivariantadaptationoflargepretrainedmodels-2023

https://www.servicenow.com/blogs/2023/make-your-foundation-model-equivariant

https://siamak.page/pubs.html

https://bibbase.org/network/publication/mondal-panigrahi-kaba-rajeswar-ravanbakhsh-equiadaptequivariantadaptationoflargepretrainedmodels-2024

https://mila.quebec/en/article/how-to-make-your-foundation-model-equivariant

https://arxiv.org/html/2405.14089v1

https://chatpaper.com/es/chatpaper/paper/8286

https://dl.acm.org/doi/10.5555/3666122.3666307

https://scholar.google.ca/citations?user=X0n6DHoAAAAJ&hl=fr

https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1244/final-projects/PatrickJamesSicurello.pdf

https://www.researchgate.net/publication/380821611_Improved_Canonicalization_for_Model_Agnostic_Equivariance

https://slideslive.com/s/sekououmar-kaba-115853

https://scholar.google.com/citations?user=X0n6DHoAAAAJ&hl=en

https://www.catalyzex.com/author/S%C3%A9kou-Oumar%20Kaba

https://www.servicenow.com/research/author/arnab-mondal.html

https://huggingface.co/papers?q=non-equivariant%20baselines

https://www.linkedin.com/posts/siba-smarak-panigrahi-42b38a213_neurips2023-activity-7138721090029129729-FWaE

https://pmc.ncbi.nlm.nih.gov/articles/PMC9898554/

https://slideslive.com/s/siamak-ravanbakhsh-24803

https://openreview.net/pdf?id=5i6ZZUjCA9

https://www.aimodels.fyi/papers/arxiv/learning-loras-gl-equivariant-processing-low-rank

https://scholar.google.fr/citations?user=jKqh8jAAAAAJ&hl=ja

https://nips.cc/virtual/2024/poster/93327

https://www.catalyzex.com/author/Arnab%20Kumar%20Mondal

https://dblp.org/pid/206/6425

https://ojs.aaai.org/index.php/AAAI/article/view/25832

https://scholar.google.com/citations?user=NhWR4yIAAAAJ&hl=en

https://papers.nips.cc/paper_files/paper/2023/file/12143893d9d37c3569dda800b95cabd9-Paper-Conference.pdf

https://www.nature.com/articles/s41524-024-01343-1

https://escholarship.mcgill.ca/concern/theses/fx719s862

https://www.researchgate.net/publication/383413004_Improving_Equivariant_Model_Training_via_Constraint_Relaxation

https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00521.pdf

https://dblp.org/pid/279/3144

https://openaccess.thecvf.com/content/ICCV2023/papers/Zhong_Improving_Equivariance_in_State-of-the-Art_Supervised_Depth_and_Normal_Predictors_ICCV_2023_paper.pdf

https://scispace.com/authors/arnab-kumar-mondal-29mpenwk

https://scholar.google.com.co/citations?user=h-sqIigAAAAJ&hl=pt-BR

https://www.sciencedirect.com/science/article/abs/pii/S0950705124008438

https://siamak.page/

https://iclr.cc/virtual/2024/calendar

https://proceedings.mlr.press/v202/navon23a/navon23a.pdf

https://mila.quebec/en/research/publications?page=283&q=GANs

https://www.nature.com/articles/s41467-023-36329-y

https://www.computer.org/csdl/journal/tp/2025/06/10879592/24fKj5s6Fji

https://link.springer.com/article/10.1007/s40747-023-01176-3

https://openaccess.thecvf.com/content/CVPR2021/papers/Rizve_Exploring_Complementary_Strengths_of_Invariant_and_Equivariant_Representations_for_Few-Shot_CVPR_2021_paper.pdf

https://www.biorxiv.org/content/10.1101/2022.04.15.488492v1.full

https://ieeexplore.ieee.org/iel7/42/10663877/10507862.pdf

https://paperswithcode.com/author/haggai-maron

http://mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf

https://read.nxtbook.com/ieee/signal_processing/signal_processing_jan_2023/imaging_with_equivariant_deep.html?mkt_tok=NzU2LUdQSC04OTkAAAGJsMHqsI2RQn21pfv58Dmm3EUk6j-RkluggxgZkgs4kaT01l7Fbd22Uh0xIXNahtssGan3jkuJ0rm8ANJnmy8nU7c8R_8uug8xdl3iR7y3tps

https://www.youtube.com/watch?v=cx3bbMf9LRA

https://iclr.cc/Downloads/2024

https://www.merl.com/publications/docs/TR2025-056.pdf

https://proceedings.mlr.press/v202/mao23d/mao23d.pdf

https://ora.ox.ac.uk/objects/uuid:4ad1582b-b065-4bf4-a5c4-d1e16ecb64fa/files/r4x51hk20f

https://orbit.dtu.dk/files/284685779/s41524_022_00863_y.pdf

https://paperswithcode.com/author/truong-son-hy

https://x.com/arnabmondal96?lang=en

https://towardsdatascience.com/group-equivariant-self-attention-19e47f0b786e/

https://icml.cc/virtual/2025/papers.html

https://aclanthology.org/2022.acl-long.61.pdf

https://icml.cc/virtual/2025/calendar

https://indico.cern.ch/event/1488410/contributions/6561643/contribution.pdf

https://ui.adsabs.harvard.edu/abs/2022arXiv221006475B/abstract

https://aclanthology.org/2022.acl-long.61/

https://research.ibm.com/publications/efficient-equivariant-transfer-learning-from-pretrained-models

http://paperreading.club/category?cate=Sparse

http://paperreading.club/category?cate=Transformer