Discriminability-Transferability Trade-Off: An Information-Theoretic
Perspective

Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective

8 March 2022

Jiajun Liang

Papers citing "Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective"

18 / 18 papers shown

Title
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 34 3 0 08 Oct 2024
Relaxed Contrastive Learning for Federated Learning Seonguk Seo Jinkyu Kim Geeho Kim Bohyung Han FedML 42 8 0 10 Jan 2024
Exploring Model Transferability through the Lens of Potential Energy Xiaotong Li Zixuan Hu Yixiao Ge Ying Shan Ling-Yu Duan 19 7 0 29 Aug 2023
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation Yuncheng Yang Meng Wei Junjun He J. Yang Jin Ye Yun Gu 30 6 0 22 Jul 2023
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 31 4 0 06 Jun 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery Bingchen Zhao Xin Wen Kai Han 33 46 0 10 May 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Jiahao Wang Wufei Ma Artur Jesslen Si-Jia Yang Shaozuo Yu O. Zendel Christian Theobalt Alan Yuille Adam Kortylewski 29 8 0 17 Apr 2023
Vision Learners Meet Web Image-Text Pairs Bingchen Zhao Quan Cui Hao Wu Osamu Yoshie Cheng Yang Oisin Mac Aodha VLM 19 5 0 17 Jan 2023
Parametric Classification for Generalized Category Discovery: A Baseline Study Xin Wen Bingchen Zhao Xiaojuan Qi 30 67 0 21 Nov 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou Shanghang Zhang Yuhua Li Rui Li CLL 13 60 0 10 Oct 2022
Self-Supervised Visual Representation Learning with Semantic Grouping Xin Wen Bingchen Zhao Anlin Zheng X. Zhang Xiaojuan Qi SSL 111 71 0 30 May 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 21 53 0 29 Nov 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang R. L. Jin Yue Gao SSL 43 39 0 12 Oct 2021
Improving Contrastive Learning by Visualizing Feature Transformation Rui Zhu Bingchen Zhao Jingen Liu Zhenglong Sun C. L. P. Chen SSL 96 78 0 06 Aug 2021
Harmonizing Transferability and Discriminability for Adapting Object Detectors Chaoqi Chen Zebiao Zheng Xinghao Ding Yue Huang Qi Dou 40 270 0 13 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 246 3,369 0 09 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 245 782 0 05 Dec 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 291 10,216 0 16 Nov 2016