Summary of A Comparative Survey Of Vision Transformers For Feature Extraction in Texture Analysis, by Leonardo Scabini et al.
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysisby Leonardo Scabini, Andre…
Summary of Compute Better Spent: Replacing Dense Layers with Structured Matrices, by Shikai Qiu et al.
Compute Better Spent: Replacing Dense Layers with Structured Matricesby Shikai Qiu, Andres Potapczynski, Marc Finzi,…
Summary of Rep: Resource-efficient Prompting For Rehearsal-free Continual Learning, by Sungho Jeon et al.
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learningby Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae…
Summary of Redistill: Residual Encoded Distillation For Peak Memory Reduction, by Fang Chen et al.
ReDistill: Residual Encoded Distillation for Peak Memory Reductionby Fang Chen, Gourav Datta, Mujahid Al Rafi,…
Summary of Sample-specific Masks For Visual Reprogramming-based Prompting, by Chengyi Cai and Zesheng Ye and Lei Feng and Jianzhong Qi and Feng Liu
Sample-specific Masks for Visual Reprogramming-based Promptingby Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng…
Summary of Decomposing and Interpreting Image Representations Via Text in Vits Beyond Clip, by Sriram Balasubramanian et al.
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIPby Sriram Balasubramanian, Samyadeep Basu,…
Summary of Effective Interplay Between Sparsity and Quantization: From Theory to Practice, by Simla Burcu Harma et al.
Effective Interplay between Sparsity and Quantization: From Theory to Practiceby Simla Burcu Harma, Ayan Chakraborty,…
Summary of Visualizing the Loss Landscape Of Self-supervised Vision Transformer, by Youngwan Lee et al.
Visualizing the loss landscape of Self-supervised Vision Transformerby Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim,…
Summary of On Fairness Of Low-rank Adaptation Of Large Models, by Zhoujie Ding and Ken Ziyu Liu and Pura Peetathawatchai and Berivan Isik and Sanmi Koyejo
On Fairness of Low-Rank Adaptation of Large Modelsby Zhoujie Ding, Ken Ziyu Liu, Pura Peetathawatchai,…
Summary of How Do the Architecture and Optimizer Affect Representation Learning? on the Training Dynamics Of Representations in Deep Neural Networks, by Yuval Sharon and Yehuda Dar
How Do the Architecture and Optimizer Affect Representation Learning? On the Training Dynamics of Representations…