A Comprehensive Review of Machine Learning Advances on Data Change: A
Cross-Field Perspective

A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective

20 February 2024

Ming-Ching Chang

Papers citing "A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective"

14 / 14 papers shown

Title
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 56 71 0 03 Oct 2022
Domain-Unified Prompt Representations for Source-Free Domain Generalization Hongjing Niu Hanting Li Feng Zhao Bin Li VLM 38 18 0 29 Sep 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach Yue Yu Rongzhi Zhang Ran Xu Jieyu Zhang Jiaming Shen Chao Zhang 42 21 0 15 Sep 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 28 11 0 04 Jul 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets Guy Hacohen Avihu Dekel D. Weinshall 113 81 0 06 Feb 2022
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions Jiachen Sun Qingzhao Zhang B. Kailkhura Zhiding Yu Chaowei Xiao Z. Morley Mao 3DPC 31 83 0 28 Jan 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 62 260 0 20 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 132 278 0 12 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 467 0 02 Feb 2021
Data Stream Clustering: A Review Alaettin Zubaroğlu V. Atalay AI4TS 22 115 0 16 Jul 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 208 663 0 17 Feb 2018
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015