Title
The iWildCam 2021 Competition Dataset Sara Beery Arush Agarwal Elijah Cole Vighnesh Birodkar 24 75 0 07 May 2021
If your data distribution shifts, use self-learning E. Rusak Steffen Schneider George Pachitariu L. Eck Peter V. Gehler Oliver Bringmann Wieland Brendel Matthias Bethge VLM OOD TTA 79 29 0 27 Apr 2021
Robust Object Detection via Instance-Level Temporal Cycle Confusion Xin Wang Thomas E. Huang Benlin Liu Feng Yu Xiaolong Wang Joseph E. Gonzalez Trevor Darrell ObjD 38 29 0 16 Apr 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition Daniela Massiceti L. Zintgraf J. Bronskill Lida Theodorou Matthew Tobias Harris Edward Cutrell C. Morrison Katja Hofmann Simone Stumpf 19 44 0 08 Apr 2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism Paria Rashidinejad Banghua Zhu Cong Ma Jiantao Jiao Stuart J. Russell OffRL 30 273 0 22 Mar 2021
Measuring and modeling the motor system with machine learning Sébastien B Hausmann Alessandro Marin Vargas Alexander Mathis Mackenzie W. Mathis 44 50 0 22 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 26 59 0 20 Mar 2021
Contemplating real-world object classification Ali Borji OOD 21 9 0 08 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 980 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 54 1,177 0 02 Mar 2021
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains Eyal Ben-David Nadav Oved Roi Reichart VLM OOD 17 88 0 24 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 38 13 0 23 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 45 129 0 23 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 30 151 0 20 Feb 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development Kexin Huang Tianfan Fu Wenhao Gao Yue Zhao Yusuf Roohani J. Leskovec Connor W. Coley Cao Xiao Jimeng Sun Marinka Zitnik OOD LM&MA 33 263 0 18 Feb 2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning F. Kanavati M. Tsuneki MedIm 23 34 0 10 Feb 2021
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation R. Yamashita J. Long Snikitha Banda Jeanne Shen D. Rubin OOD MedIm 14 47 0 02 Feb 2021
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making Han Liu Vivian Lai Chenhao Tan 30 116 0 13 Jan 2021
Robustness Gym: Unifying the NLP Evaluation Landscape Karan Goel Nazneen Rajani Jesse Vig Samson Tan Jason M. Wu Stephan Zheng Caiming Xiong Joey Tianyi Zhou Christopher Ré AAML OffRL OOD 154 137 0 13 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 41 102 0 31 Dec 2020
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 168 62 0 08 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition Anirudh Goyal Yoshua Bengio AI4CE 18 345 0 30 Nov 2020
Does enforcing fairness mitigate biases caused by subpopulation shift? Subha Maity Debarghya Mukherjee Mikhail Yurochkin Yuekai Sun 8 23 0 06 Nov 2020
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 25 46 0 27 Oct 2020
Learning Implicitly with Noisy Data in Linear Arithmetic Alexander Philipp Rader I. Mocanu Vaishak Belle Brendan Juba NoLa 11 4 0 23 Oct 2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges L. Chanussot Abhishek Das Siddharth Goyal Thibaut Lavril Muhammed Shuaibi ... Brandon M. Wood Junwoong Yoon Devi Parikh C. L. Zitnick Zachary W. Ulissi 232 504 0 20 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 678 0 19 Oct 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 17 371 0 14 Oct 2020
Towards Improving Selective Prediction Ability of NLP Systems Neeraj Varshney Swaroop Mishra Chitta Baral 8 23 0 21 Aug 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 11 198 0 06 Jul 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 371 0 09 May 2020
Machine learning on DNA-encoded libraries: A new paradigm for hit-finding Kevin McCloskey E. Sigel S. Kearnes L. Xue Xia Tian ... C. Hupp Anthony D. Keefe Christopher J. Mulhern Ying Zhang Patrick F. Riley 51 103 0 31 Jan 2020
Learning from Discriminatory Training Data Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 20 1 0 17 Dec 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 329 4,223 0 23 Aug 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 242 320 0 21 Aug 2019
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 251 2,233 0 14 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dialogue Learning With Human-In-The-Loop Jiwei Li Alexander H. Miller S. Chopra MarcÁurelio Ranzato Jason Weston OffRL 227 134 0 29 Nov 2016
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 246 809 0 13 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015