Title
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground Haoxin Li Yuan Liu Hanwang Zhang Boyang Li 25 15 0 23 Nov 2022
ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah Sung Min Park Andrew Ilyas A. Madry SyDa 46 26 0 22 Nov 2022
Instability in clinical risk stratification models using deep learning D. Martinez A. Yakubovich Martin G. Seneviratne Á. Lelkes Akshit Tyagi ... N. L. Downing Ron C. Li Keith Morse N. Shah Ming-Jun Chen OOD 14 2 0 20 Nov 2022
Mechanistic Mode Connectivity Ekdeep Singh Lubana Eric J. Bigelow Robert P. Dick David M. Krueger Hidenori Tanaka 27 45 0 15 Nov 2022
Capabilities for Better ML Engineering Chenyang Yang Rachel A. Brower-Sinning Grace A. Lewis Christian Kastner Tongshuang Wu 19 3 0 11 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review Talha Azfar Jinlong Li Hongkai Yu R. Cheu Yisheng Lv Ruimin Ke 20 21 0 09 Nov 2022
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation Omid Gheibi Danny Weyns 8 3 0 04 Nov 2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales Peifeng Wang Aaron Chan Filip Ilievski Muhao Chen Xiang Ren LRM ReLM 21 59 0 03 Nov 2022
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU Johannes Mario Meissner Saku Sugawara Akiko Aizawa AAML 31 16 0 28 Oct 2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors Kristy Choi Chris Cundy Sanjari Srivastava Stefano Ermon BDL 48 36 0 22 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 179 22 0 20 Oct 2022
Machine Learning for a Sustainable Energy Future Zhenpeng Yao Yanwei Lum Andrew K. Johnston L. M. Mejia-Mendoza Xiaoxia Zhou Yonggang Wen Alán Aspuru-Guzik E. Sargent Z. Seh 6 209 0 19 Oct 2022
Predicting Fine-Tuning Performance with Probing Zining Zhu Soroosh Shahtalebi Frank Rudzicz 26 9 0 13 Oct 2022
Underspecification in Scene Description-to-Depiction Tasks Ben Hutchinson Jason Baldridge Vinodkumar Prabhakaran DiffM 66 32 0 11 Oct 2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA Q. Si Fandong Meng Mingyu Zheng Zheng Lin Yuanxin Liu Peng Fu Yanan Cao Weiping Wang Jie Zhou 24 20 0 10 Oct 2022
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals Rohin Shah Vikrant Varma Ramana Kumar Mary Phuong Victoria Krakovna J. Uesato Zachary Kenton 19 67 0 04 Oct 2022
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution Emily McMilin 13 0 0 30 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 27 10 0 20 Sep 2022
Measuring Interventional Robustness in Reinforcement Learning Katherine Avery Jack Kenney Pracheta Amaranath Erica Cai David D. Jensen 13 0 0 19 Sep 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin Chudi Zhong Zhi Chen Takuya Takagi Margo Seltzer Cynthia Rudin 33 53 0 16 Sep 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 8 41 0 12 Sep 2022
Bias Challenges in Counterfactual Data Augmentation S Chandra Mouli Yangze Zhou Bruno Ribeiro CML OOD OODD 37 4 0 12 Sep 2022
Reconciling Individual Probability Forecasts Aaron Roth A. Tolbert S. Weinstein 14 14 0 04 Sep 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney Yong Lin Seong Joon Oh Ehsan Abbasnejad OOD 362 47 0 01 Sep 2022
Gaussian Process Surrogate Models for Neural Networks Michael Y. Li Erin Grant Thomas L. Griffiths BDL SyDa 30 7 0 11 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP Thao Nguyen Gabriel Ilharco Mitchell Wortsman Sewoong Oh Ludwig Schmidt CLIP VLM 38 97 0 10 Aug 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 14 42 0 22 Jul 2022
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing Alex Brown Nenad Tomašev Jan Freyberg Yuan Liu Alan Karthikesalingam Jessica Schrouff 8 50 0 21 Jul 2022
The Birth of Bias: A case study on the evolution of gender bias in an English language model Oskar van der Wal Jaap Jumelet K. Schulz Willem H. Zuidema 24 16 0 21 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 49 71 0 19 Jul 2022
Selection Bias Induced Spurious Correlations in Large Language Models Emily McMilin 20 7 0 18 Jul 2022
Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on norwegian imaging database M. Røvang P. Selnes B. MacIntosh I. Groote Lene Paalhaugen Sudre Carole T. Fladby A. Bjørnerud 14 1 0 18 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 23 124 0 15 Jul 2022
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations S. Shekarpaz Mohammad Azizmalayeri M. Rohban 15 4 0 14 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 25 29 0 06 Jul 2022
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness Saeid Asgari Taghanaki A. Gholami Fereshte Khani Kristy Choi Linh-Tam Tran Ran Zhang Aliasghar Khani 4 0 0 04 Jul 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 15 7 0 27 Jun 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 33 3 0 24 Jun 2022
On Specifying for Trustworthiness Dhaminda B. Abeywickrama A. Bennaceur Greg Chance Y. Demiris Anastasia Kordoni ... S. Ramamoorthy Jan Oliver Ringert James Wilson Shane Windsor Kerstin Eder 14 19 0 22 Jun 2022
Performance Prediction Under Dataset Shift Simona Maggio Victor Bouvier L. Dreyfus-Schmidt OOD AI4TS 16 2 0 21 Jun 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 18 48 0 20 Jun 2022
Disentangling Model Multiplicity in Deep Learning Ari Heljakka Martin Trapp Juho Kannala Arno Solin 18 4 0 17 Jun 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju F. Fleuret AAML 23 15 0 14 Jun 2022
Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge Sercan Ö. Arik Jinsung Yoon Ao Xu Laurent Itti Tomas Pfister OOD CML 18 2 0 13 Jun 2022
OOD Augmentation May Be at Odds with Open-Set Recognition Mohammad Azizmalayeri M. Rohban 6 9 0 09 Jun 2022
Certifying Data-Bias Robustness in Linear Regression Anna P. Meyer Aws Albarghouthi Loris Dántoni 27 3 0 07 Jun 2022
Metrics reloaded: Recommendations for image analysis validation Lena Maier-Hein Annika Reinke Patrick Godau M. Tizabi Florian Buettner ... Aleksei Tiulpin Sotirios A. Tsaftaris Ben Van Calster Gaël Varoquaux Paul F. Jäger 22 214 0 03 Jun 2022
Generalization for multiclass classification with overparameterized linear models Vignesh Subramanian Rahul Arya A. Sahai AI4CE 19 9 0 03 Jun 2022
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification Hsiang Hsu Flavio du Pin Calmon 17 38 0 02 Jun 2022
Predictive Multiplicity in Probabilistic Classification J. Watson-Daniels David C. Parkes Berk Ustun 9 38 0 02 Jun 2022