Summary of Test-time Model Adaptation with Only Forward Passes, by Shuaicheng Niu et al.
Test-Time Model Adaptation with Only Forward Passesby Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu,…
Summary of Instance-aware Group Quantization For Vision Transformers, by Jaehyeon Moon et al.
Instance-Aware Group Quantization for Vision Transformersby Jaehyeon Moon, Dohyung Kim, Junyong Cheon, Bumsub HamFirst submitted…
Summary of A General and Efficient Training For Transformer Via Token Expansion, by Wenxuan Huang et al.
A General and Efficient Training for Transformer via Token Expansionby Wenxuan Huang, Yunhang Shen, Jiao…
Summary of Efficient Learning with Sine-activated Low-rank Matrices, by Yiping Ji et al.
Efficient Learning With Sine-Activated Low-rank Matricesby Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon…
Summary of Ecodepth: Effective Conditioning Of Diffusion Models For Monocular Depth Estimation, by Suraj Patni et al.
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimationby Suraj Patni, Aradhye Agarwal, Chetan…
Summary of Heal-vit: Vision Transformers on a Spherical Mesh For Medium-range Weather Forecasting, by Vivek Ramavajjala
HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecastingby Vivek RamavajjalaFirst submitted to…
Summary of Rotary Position Embedding For Vision Transformer, by Byeongho Heo et al.
Rotary Position Embedding for Vision Transformerby Byeongho Heo, Song Park, Dongyoon Han, Sangdoo YunFirst submitted…
Summary of Improving Generalization Via Meta-learning on Hard Samples, by Nishant Jain et al.
Improving Generalization via Meta-Learning on Hard Samplesby Nishant Jain, Arun S. Suggala, Pradeep ShenoyFirst submitted…
Summary of Vit-mul: a Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers, by Ikhyun Cho et al.
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformersby Ikhyun Cho,…
Summary of Semantic Residual Prompts For Continual Learning, by Martin Menabue et al.
Semantic Residual Prompts for Continual Learningby Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo…