Title
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 17 2 0 13 Nov 2023
Anchor Data Augmentation Nora Schneider Shirin Goshtasbpour Fernando Pérez-Cruz 16 6 0 12 Nov 2023
Unified machine learning tasks and datasets for enhancing renewable energy Arsam Aryandoust Thomas Rigoni Francesco di Stefano Anthony Patt 40 0 0 12 Nov 2023
Why Do Probabilistic Clinical Models Fail To Transport Between Sites? Thomas A. Lasko Eric V. Strobl William W Stead OOD 38 7 0 08 Nov 2023
Holistic Evaluation of Text-To-Image Models Tony Lee Michihiro Yasunaga Chenlin Meng Yifan Mai Joon Sung Park ... Jun-Yan Zhu Fei-Fei Li Jiajun Wu Stefano Ermon Percy Liang 149 126 0 07 Nov 2023
Robust Fine-Tuning of Vision-Language Models for Domain Generalization Kevin Vogt-Lowell Noah Lee Theodoros Tsiligkaridis Marc Vaillant VLM 37 4 0 03 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data Cheng-Hao Tu Hong-You Chen Zheda Mai Shitian Zhao Vardaan Pahuja Tanya Berger-Wolf Song Gao Charles V. Stewart Yu-Chuan Su Wei-Lun Chao CLL 36 3 0 02 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 42 3 0 02 Nov 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 35 1 0 02 Nov 2023
Group Distributionally Robust Knowledge Distillation Konstantinos Vilouras Xiao Liu Pedro Sanchez Alison Q. OÑeil Sotirios A. Tsaftaris OOD 24 2 0 01 Nov 2023
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization Vaibhav Khamankar Sutanu Bera Saumik Bhattacharya Debashis Sen P. Biswas 27 2 0 31 Oct 2023
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology Peixiang Huang Songtao Zhang Yulu Gan Rui Xu Rongqi Zhu Wenkang Qin Limei Guo Shan Jiang Lin Luo 32 4 0 31 Oct 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 81 62 0 30 Oct 2023
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 28 17 0 30 Oct 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 36 34 0 29 Oct 2023
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction Zeshuai Deng Zhuokun Chen Shuaicheng Niu Thomas H. Li Bohan Zhuang Mingkui Tan 27 22 0 29 Oct 2023
Responsible AI (RAI) Games and Ensembles Yash Gupta Runtian Zhai A. Suggala Pradeep Ravikumar 18 0 0 28 Oct 2023
Using Early Readouts to Mediate Featural Bias in Distillation Rishabh Tiwari D. Sivasubramanian Anmol Reddy Mekala Ganesh Ramakrishnan Pradeep Shenoy 26 5 0 28 Oct 2023
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OOD OffRL 34 6 0 27 Oct 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift Dexter Neo Stefan Winkler Tsuhan Chen OODD 22 3 0 26 Oct 2023
MACP: Efficient Model Adaptation for Cooperative Perception Yunsheng Ma Juanwu Lu Can Cui Sicheng Zhao Xu Cao Wenqian Ye Ziran Wang 24 11 0 25 Oct 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 26 20 0 25 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 46 8 0 25 Oct 2023
TiC-CLIP: Continual Training of CLIP Models Saurabh Garg Mehrdad Farajtabar Hadi Pouransari Raviteja Vemulapalli Sachin Mehta Oncel Tuzel Vaishaal Shankar Fartash Faghri VLM CLIP 36 27 0 24 Oct 2023
Robust Learning via Conditional Prevalence Adjustment Minh Nguyen Alan Q. Wang Heejong Kim M. Sabuncu CML OOD 24 2 0 24 Oct 2023
Machine Learning and Knowledge: Why Robustness Matters Jonathan Vandenburgh OOD 28 1 0 23 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 52 6 0 20 Oct 2023
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining Kecen Li Chen Gong Zhixiang Li Yuzhong Zhao Xinwen Hou Tianhao Wang 33 10 0 19 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 36 9 0 12 Oct 2023
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models Luiza Amador Pozzobon Beyza Ermis Patrick Lewis Sara Hooker 36 20 0 11 Oct 2023
ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction Shuoying Wei Xinlong Wen Lida Zhu Songquan Li Rongbo Zhu OOD 22 1 0 11 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti F. Guerrero-Peña H. R. Medeiros Thomas Dubail Eric Granger M. Pedersoli ViT 45 3 0 10 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 41 0 0 10 Oct 2023
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 53 6 0 10 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva Kameron Shahabi Vatsal Sharan 35 2 0 09 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift Yihao Xue Siddharth Joshi Dang Nguyen Baharan Mirzasoleiman VLM 31 4 0 08 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 46 215 0 05 Oct 2023
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models An Yan Yu-Xiang Wang Yiwu Zhong Zexue He Petros Karypis ... Chengyu Dong Amilcare Gentili Chun-Nan Hsu Jingbo Shang Julian McAuley 27 30 0 04 Oct 2023
Towards out-of-distribution generalizable predictions of chemical kinetics properties Zihao Wang Yongqiang Chen Yang Duan Weijiang Li Bo Han James Cheng Hanghang Tong OOD 28 6 0 04 Oct 2023
Multi-Domain Causal Representation Learning via Weak Distributional Invariances Kartik Ahuja Amin Mansouri Yixin Wang CML OOD 26 10 0 04 Oct 2023
Bag of Tricks for Fully Test-Time Adaptation Saypraseuth Mounsaveng Florent Chiaroni Malik Boudiaf M. Pedersoli Ismail Ben Ayed TTA 26 7 0 03 Oct 2023
Fusing Models with Complementary Expertise Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric P. Xing Mikhail Yurochkin FedML MoMe 25 26 0 02 Oct 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 42 4 0 02 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 25 0 0 02 Oct 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 46 18 0 28 Sep 2023
Large Language Model Routing with Benchmark Datasets Tal Shnitzer Anthony Ou Mírian Silva Kate Soule Yuekai Sun Justin Solomon Neil Thompson Mikhail Yurochkin RALM 16 56 0 27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation Jiachen Sun Mark Ibrahim Melissa Hall Ivan Evtimov Z. Morley Mao Cristian Canton Ferrer C. Hazirbas VLM 43 6 0 26 Sep 2023
Era Splitting -- Invariant Learning for Decision Trees Timothy DeLise CML OOD 24 0 0 25 Sep 2023
Distribution-Free Statistical Dispersion Control for Societal Applications Zhun Deng Thomas P. Zollo Jake C. Snell T. Pitassi R. Zemel 19 5 0 25 Sep 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head Alan Q. Wang Minh Nguyen M. Sabuncu CML OOD 34 1 0 23 Sep 2023