Title
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani V. Cevher AAML 66 12 0 19 Jun 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 33 10 0 16 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection Haoyue Bai Gregory H. Canal Xuefeng Du Jeongyeol Kwon Robert D. Nowak Yixuan Li OODD 38 45 0 15 Jun 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos V. Cevher FedML OOD 23 6 0 08 Jun 2023
Conservative Prediction via Data-Driven Confidence Minimization Caroline Choi Fahim Tajwar Yoonho Lee Huaxiu Yao Ananya Kumar Chelsea Finn 34 5 0 08 Jun 2023
Robust Learning with Progressive Data Expansion Against Spurious Correlation Yihe Deng Yu Yang Baharan Mirzasoleiman Quanquan Gu OOD MLT 29 24 0 08 Jun 2023
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology Tan H. Nguyen Dinkar Juyal Jin Li Aaditya (Adi) Prakash Shima Nofallah ... Michael Griffin Anand Sampat J. Abel Justin Lee A. Taylor-Weiner MedIm 27 2 0 07 Jun 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings Klim Kireev Maksym Andriushchenko Carmela Troncoso Nicolas Flammarion OOD 29 1 0 06 Jun 2023
On Pitfalls of Test-Time Adaptation Hao Zhao Yuejiang Liu Alexandre Alahi Tao R. Lin TTA 29 39 0 06 Jun 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 13 10 0 05 Jun 2023
Learning under random distributional shifts Kirk Bansak E. Paulson Dominik Rothenhäusler OOD 16 4 0 05 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 26 19 0 05 Jun 2023
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models Jiabang He Yilang Hu Lei Wang Xingdong Xu Ning Liu Hui-juan Liu Hengtao Shen VLM OOD 24 2 0 05 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui Meng Liu Xiner Li Youzhi Luo Shuiwang Ji CML OOD 28 24 0 01 Jun 2023
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents Catherine Chen Zejiang Shen Dan Klein Gabriel Stanovsky Doug Downey Kyle Lo 23 2 0 01 Jun 2023
Being Right for Whose Right Reasons? Terne Sasha Thorn Jakobsen Laura Cabello Anders Søgaard 31 10 0 01 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld Saurabh Garg UQCV 40 4 0 01 Jun 2023
Measuring the Robustness of NLP Models to Domain Shifts Nitay Calderon Naveh Porat Eyal Ben-David Alexander Chapanin Zorik Gekhman Nadav Oved Vitaly Shalumov Roi Reichart 21 7 0 31 May 2023
Towards Fair Disentangled Online Learning for Changing Environments Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Christan Earl Grant Feng Chen 27 15 0 31 May 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms Dheeraj Baby Saurabh Garg Tzu-Ching Yen Sivaraman Balakrishnan Zachary Chase Lipton Yu-Xiang Wang 39 7 0 31 May 2023
Efficient Stochastic Approximation of Minimax Excess Risk Optimization Lijun Zhang Haomin Bai W. Tu Ping Yang Yao Hu 14 3 0 31 May 2023
Contextual Vision Transformers for Robust Representation Learning Yu Bao Theofanis Karaletsos ViT 26 13 0 30 May 2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images Viraj Prabhu Sriram Yenamandra Prithvijit Chattopadhyay Judy Hoffman 33 38 0 30 May 2023
Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases Yuval Reif Roy Schwartz 28 7 0 30 May 2023
Characterizing and Measuring Linguistic Dataset Drift Tyler A. Chang Kishaloy Halder Neha Ann John Yogarshi Vyas Yassine Benajiba Miguel Ballesteros Dan Roth 13 2 0 26 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup Damien Teney Jindong Wang Ehsan Abbasnejad 30 6 0 26 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 37 1 0 25 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation Lisa Dunlap Alyssa Umino Han Zhang Jiezhi Yang Joseph E. Gonzalez Trevor Darrell DiffM 36 71 0 25 May 2023
Differentially Private Latent Diffusion Models Saiyue Lyu Michael F. Liu Margarita Vinaroz Mijung Park 32 24 0 25 May 2023
Characterizing Out-of-Distribution Error via Optimal Transport Yuzhe Lu Yilong Qin Runtian Zhai Andrew Shen Ketong Chen Zhenlin Wang Soheil Kolouri Simon Stepputtis Joseph Campbell Katia P. Sycara OODD 34 10 0 25 May 2023
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc FAtt 18 3 0 24 May 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 41 37 0 24 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings Yihao Xue Ali Payani Yu Yang Baharan Mirzasoleiman VLM 26 4 0 23 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 37 2 0 23 May 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 31 11 0 21 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization Ting Wu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang 51 2 0 20 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 36 0 0 19 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 37 65 0 18 May 2023
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings Nathan Beck Suraj Kothawade Pradeep Shenoy Rishabh K. Iyer 21 2 0 18 May 2023
Variational Classification S. Dhuliawala Mrinmaya Sachan Carl Allen BDL 28 5 0 17 May 2023
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 29 26 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao Kaican Li Weiyan Xie Zhi Lin Yongxiang Huang Luning Wang Caleb Chen Cao N. Zhang 13 2 0 13 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 27 11 0 10 May 2023
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues Alceu Bissoto Catarina Barata Eduardo Valle Sandra Avila OOD 24 4 0 09 May 2023
Ranking & Reweighting Improves Group Distributional Robustness Yachuan Liu Bohang Zhang Qiaozhu Mei Paramveer S. Dhillon OOD 27 0 0 09 May 2023
Adaptive Domain Generalization for Digital Pathology Images A. Walker MedIm OOD 25 1 0 09 May 2023
Large-Scale Study of Temporal Shift in Health Insurance Claims Christina X. Ji Ahmed Alaa David Sontag AI4TS OOD 34 4 0 08 May 2023
Controllable Mixed-Initiative Dialogue Generation through Prompting Maximillian Chen Xiao Yu Weiyan Shi Urvi Awasthi Zhou Yu 26 23 0 06 May 2023