Title
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 35 17 0 01 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 6 19 0 01 Mar 2023
Edit at your own risk: evaluating the robustness of edited models to distribution shifts Davis Brown Charles Godfrey Cody Nizinski Jonathan Tu Henry Kvinge KELM 29 8 0 28 Feb 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images Sahra Ghalebikesabi Leonard Berrada Sven Gowal Ira Ktena Robert Stanforth Jamie Hayes Soham De Samuel L. Smith Olivia Wiles Borja Balle DiffM 31 69 0 27 Feb 2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? Ruisi Cai Zhenyu Zhang Zhangyang Wang AAML OOD 46 12 0 24 Feb 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu Jiaxiang Wu Yifan Zhang Z. Wen Yaofo Chen P. Zhao Mingkui Tan TTA 35 248 0 24 Feb 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach Minyoung Kim Da Li Timothy M. Hospedales OOD 24 11 0 23 Feb 2023
Debiased Distillation by Transplanting the Last Layer Jiwoon Lee Jaeho Lee 23 3 0 22 Feb 2023
Boosting classification reliability of NLP transformer models in the long run Zoltán Kmetty Bence Kollányi Krisztián Boros 19 3 0 20 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 32 7 0 20 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 26 32 0 16 Feb 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Soumyajit Gupta Sooyong Lee Maria De-Arteaga Matthew Lease 27 13 0 14 Feb 2023
Less is More: Selective Layer Finetuning with SubTuning Gal Kaplun Andrey Gurevich Tal Swisa Mazor David Shai Shalev-Shwartz Eran Malach 29 7 0 13 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 23 5 0 11 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 35 9 0 10 Feb 2023
Large Language Models for Code: Security Hardening and Adversarial Testing Jingxuan He Martin Vechev ELM AAML 23 108 0 10 Feb 2023
Diagnosing and Rectifying Vision Models using Language Yuhui Zhang Jeff Z. HaoChen Shih-Cheng Huang Kuan-Chieh Jackson Wang James Zou Serena Yeung 39 45 0 08 Feb 2023
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV 44 12 0 07 Feb 2023
Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability J. Parkinson Wen Wang BDL 24 8 0 07 Feb 2023
Domain Adaptation for Time Series Under Feature and Label Shifts Huan He Owen Queen Teddy Koker Consuelo Cuevas Theodoros Tsiligkaridis Marinka Zitnik AI4TS 28 62 0 06 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 33 31 0 06 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 35 11 0 06 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 27 57 0 06 Feb 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 57 8 0 06 Feb 2023
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index A. Khademi M. Hopka Devesh Upadhyay OOD 33 3 0 01 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 31 13 0 01 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 43 39 0 01 Feb 2023
Demystifying Disagreement-on-the-Line in High Dimensions Dong-Hwan Lee Behrad Moniri Xinmeng Huang Yan Sun Hamed Hassani 21 8 0 31 Jan 2023
Fairness and Accuracy under Domain Generalization Thai-Hoang Pham Xueru Zhang Ping Zhang 32 21 0 30 Jan 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification Ali Borji VLM 37 0 0 29 Jan 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data Jang-Hyun Kim Sangdoo Yun Hyun Oh Song 34 18 0 29 Jan 2023
Zero-shot causal learning H. Nilforoshan Michael Moor Yusuf Roohani Yining Chen Anja vSurina Michihiro Yasunaga Sara Oblak J. Leskovec CML BDL OffRL 24 11 0 28 Jan 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 26 2 0 28 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation Younghyun Kim Sangwoo Mo Minkyu Kim Kyungmin Lee Jaeho Lee Jinwoo Shin 40 33 0 26 Jan 2023
ManyDG: Many-domain Generalization for Healthcare Applications Chaoqi Yang M. P. M. Brandon Westover Jimeng Sun OOD CML 11 19 0 21 Jan 2023
Continuously Reliable Detection of New-Normal Misinformation: Semantic Masking and Contrastive Smoothing in High-Density Latent Regions Abhijit Suprem J. Ferreira C. Pu AAML 32 1 0 19 Jan 2023
RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods Maciej Sypetkowski Morteza Rezanejad Saber Saberian Oren Z. Kraus John Urbanik ... Mason L. Victors J. Yosinski A. R. Sereshkeh I. Haque Berton Earnshaw 33 37 0 13 Jan 2023
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 41 23 0 28 Dec 2022
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods Philipp Bachmann Daniel Gedon Fredrik K. Gustafsson Antônio H. Ribeiro E. Lampa S. Gustafsson Johan Sundström Thomas B. Schon 31 1 0 21 Dec 2022
Unleashing the Power of Visual Prompting At the Pixel Level Junyang Wu Xianhang Li Chen Wei Huiyu Wang Alan Yuille Yuyin Zhou Cihang Xie VPVLM VLM 29 31 0 20 Dec 2022
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Ramé Kartik Ahuja Jianyu Zhang Matthieu Cord Léon Bottou David Lopez-Paz MoMe OODD 37 81 0 20 Dec 2022
Domain Generalization with Correlated Style Uncertainty Zheyu Zhang Bin Wang Debesh Jha Ugur Demir Ulas Bagci OOD 38 5 0 20 Dec 2022
A Probabilistic Framework for Lifelong Test-Time Adaptation Dhanajit Brahma Piyush Rai TTA 24 34 0 19 Dec 2022
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation Wenyu Zhang Li Shen Chuan-Sheng Foo TTA AI4CE 34 15 0 15 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 34 13 0 14 Dec 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney FaML 25 28 0 13 Dec 2022
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining Florian Tramèr Gautam Kamath Nicholas Carlini SILM 49 67 0 13 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty Zhijie Wang Yuheng Huang Lei Ma Haruki Yokoyama Susumu Tokumoto Kazuki Munakata 29 4 0 13 Dec 2022
Minimax Optimal Estimation of Stability Under Distribution Shift Hongseok Namkoong Yuanzhe Ma Peter Glynn 37 6 0 13 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 26 2 0 12 Dec 2022