Title
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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing Sindhu C. M. Gowda Shalmali Joshi Haoran Zhang Marzyeh Ghassemi CML 32 8 0 27 Aug 2021
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Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains Molly O'Brien Michael Medoff Julia V. Bukowski Gregory Hager OOD 21 3 0 17 Aug 2021
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Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations Vihari Piratla Soumen Chakrabarty Sunita Sarawagi 11 3 0 14 Aug 2021
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems Laurel J. Orr Atindriyo Sanyal Xiao Ling Karan Goel Megan Leszczynski 25 18 0 11 Aug 2021
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Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP Stefan Larson Navtej Singh Saarthak Maheshwari Shanti Stewart U. Krishnaswamy OODD OOD 17 3 0 05 Aug 2021
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates Oliver Cobb A. V. Looveren Janis Klaise 34 6 0 02 Aug 2021
Did the Model Change? Efficiently Assessing Machine Learning API Shifts Lingjiao Chen Tracy Cai Matei A. Zaharia James Zou 20 17 0 29 Jul 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning Timo Milbich Karsten Roth Samarth Sinha Ludwig Schmidt Marzyeh Ghassemi Bjorn Ommer OOD OODD 28 22 0 20 Jul 2021
Just Train Twice: Improving Group Robustness without Training Group Information E. Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 37 538 0 19 Jul 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 44 581 0 15 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 32 159 0 15 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 29 126 0 15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 205 104 0 15 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 41 16 0 12 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 27 51 0 12 Jul 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 25 267 0 09 Jul 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation Ian D Kivlichan Zi Lin J. Liu Lucy Vasserman 14 19 0 09 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 20 116 0 07 Jul 2021
DebiasedDTA: A Framework for Improving the Generalizability of Drug-Target Affinity Prediction Models Riza Ozccelik Alperen Baug Berk Atil Melih Barsbey Arzucan Özgür Elif Özkirimli AI4CE 11 0 0 04 Jul 2021
Species Distribution Modeling for Machine Learning Practitioners: A Review Sara Beery Elijah Cole Joseph Parker Pietro Perona Kevin Winner 21 69 0 03 Jul 2021
Mandoline: Model Evaluation under Distribution Shift Mayee F. Chen Karan Goel N. Sohoni Fait Poms Kayvon Fatahalian Christopher Ré 28 69 0 01 Jul 2021
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning Anders Andreassen Yasaman Bahri Behnam Neyshabur Rebecca Roelofs OOD OODD 30 78 0 30 Jun 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles Jiefeng Chen Frederick Liu Besim Avci Xi Wu Yingyu Liang S. Jha 32 61 0 29 Jun 2021
Critically examining the Domain Generalizability of Facial Expression Recognition models Varsha Suresh G. Yeo Desmond C. Ong 29 6 0 29 Jun 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 58 289 0 28 Jun 2021
Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations Abubakar Abid Mert Yuksekgonul James Zou CML 34 64 0 24 Jun 2021
Image-to-Image Translation of Synthetic Samples for Rare Classes Edoardo Lanzini Sara Beery 19 2 0 23 Jun 2021
Examining and Combating Spurious Features under Distribution Shift Chunting Zhou Xuezhe Ma Paul Michel Graham Neubig OOD 32 66 0 14 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair Michihiro Yasunaga Percy Liang 26 106 0 11 Jun 2021
A Discussion on Building Practical NLP Leaderboards: The Case of Machine Translation Sebastin Santy Prasanta Bhattacharya LLMAG 33 2 0 11 Jun 2021
DORO: Distributional and Outlier Robust Optimization Runtian Zhai Chen Dan J. Zico Kolter Pradeep Ravikumar 33 60 0 11 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent Samira Abnar Rianne van den Berg Golnaz Ghiasi Mostafa Dehghani Nal Kalchbrenner Hanie Sedghi OOD CLL TTA 28 21 0 10 Jun 2021
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization Léo Andéol Yusei Kawakami Yuichiro Wada Takafumi Kanamori K. Müller G. Montavon OOD 37 7 0 09 Jun 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization Haotian Ye Chuanlong Xie Tianle Cai Ruichen Li Zhenguo Li Liwei Wang OODD OOD 61 105 0 08 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 44 17 0 07 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 40 106 0 07 Jun 2021
Quantifying and Improving Transferability in Domain Generalization Guojun Zhang Han Zhao Yaoliang Yu Pascal Poupart 40 37 0 07 Jun 2021
A call for better unit testing for invariant risk minimisation Chunyang Xiao Pranava Madhyastha 16 1 0 06 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 20 95 0 05 Jun 2021
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization Soroosh Shahtalebi Jean-Christophe Gagnon-Audet Touraj Laleh Mojtaba Faramarzi Kartik Ahuja Irina Rish 33 59 0 04 Jun 2021
Learning to Extend Program Graphs to Work-in-Progress Code Xuechen Li Chris J. Maddison Daniel Tarlow 18 2 0 28 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment Chris Xing Tian Haoliang Li Yufei Wang Shiqi Wang 13 4 0 14 May 2021
Global Wheat Challenge 2020: Analysis of the competition design and winning models Etienne David F. Ogidi Wei Guo F. Baret Ian Stavness 21 8 0 13 May 2021