Title
How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task Urja Khurana Eric T. Nalisnick Antske Fokkens MoMe 14 6 0 18 Nov 2021
Selective Ensembles for Consistent Predictions Emily Black Klas Leino Matt Fredrikson 12 21 0 16 Nov 2021
MassFormer: Tandem Mass Spectrum Prediction for Small Molecules using Graph Transformers A. Young Bo Wang Hannes L. Röst 21 5 0 08 Nov 2021
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set Gabriel Laberge Y. Pequignot Alexandre Mathieu Foutse Khomh M. Marchand FAtt 17 6 0 26 Oct 2021
Identifying and Benchmarking Natural Out-of-Context Prediction Problems David Madras D. Psaltis CML OOD 16 4 0 25 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp G. Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 199 102 0 21 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 18 58 0 20 Oct 2021
Quantifying the Task-Specific Information in Text-Based Classifications Zining Zhu Aparna Balagopalan Marzyeh Ghassemi Frank Rudzicz 26 4 0 17 Oct 2021
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding Mengnan Du Subhabrata Mukherjee Yu Cheng Milad Shokouhi Xia Hu Ahmed Hassan Awadallah 44 13 0 16 Oct 2021
Dropout Prediction Uncertainty Estimation Using Neuron Activation Strength Haichao Yu Zhe Chen Dong Lin G. Shamir Jie Han UQCV 25 0 0 13 Oct 2021
Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond) Kristof Meding Luca M. Schulze Buschoff Robert Geirhos Felix Wichmann 28 40 0 12 Oct 2021
Distinguishing rule- and exemplar-based generalization in learning systems Ishita Dasgupta Erin Grant Thomas L. Griffiths 8 13 0 08 Oct 2021
Machine Learning Featurizations for AI Hacking of Political Systems Nathan Sanders B. Schneier 15 2 0 08 Oct 2021
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 41 43 0 06 Oct 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 24 45 0 06 Oct 2021
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations Andreas Triantafyllopoulos M. Milling K. Drossos Björn W. Schuller 21 7 0 04 Oct 2021
Expected Validation Performance and Estimation of a Random Variable's Maximum Jesse Dodge Suchin Gururangan Dallas Card Roy Schwartz Noah A. Smith 41 9 0 01 Oct 2021
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective Adhyyan Narang Vidya Muthukumar A. Sahai SILM AAML 13 1 0 27 Sep 2021
Neural forecasting at scale Philippe Chatigny Shengrui Wang Jean-Marc Patenaude and Boris N. Oreshkin AI4TS 20 1 0 20 Sep 2021
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning Marc Tanti Lonneke van der Plas Claudia Borg Albert Gatt 18 10 0 14 Sep 2021
Assessing the Reliability of Word Embedding Gender Bias Measures Yupei Du Qixiang Fang D. Nguyen 46 21 0 10 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 25 80 0 08 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 28 204 0 07 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 23 688 0 04 Sep 2021
Artificial Intelligence in Dry Eye Disease Andrea Storås Inga Strümke Michael A. Riegler J. Grauslund Hugo Lewi Hammer Anis Yazidi P. Halvorsen K. Gundersen T. Utheim C. Jackson MedIm 17 38 0 02 Sep 2021
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains Molly O'Brien Michael Medoff Julia V. Bukowski Gregory Hager OOD 13 3 0 17 Aug 2021
Robustness testing of AI systems: A case study for traffic sign recognition Christian Berghoff Pavol Bielik Matthias Neu Petar Tsankov Arndt von Twickel AAML 8 13 0 13 Aug 2021
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice Jiahao Chen Victor Storchan Eren Kurshan 9 10 0 11 Aug 2021
Grounding Representation Similarity with Statistical Testing Frances Ding Jean-Stanislas Denain Jacob Steinhardt 11 30 0 03 Aug 2021
Your fairness may vary: Pretrained language model fairness in toxic text classification Ioana Baldini Dennis L. Wei K. Ramamurthy Mikhail Yurochkin Moninder Singh 12 53 0 03 Aug 2021
Artificial Intelligence in Healthcare: Lost In Translation? V. Madai David C. Higgins 11 4 0 28 Jul 2021
An Instance-Dependent Simulation Framework for Learning with Label Noise Keren Gu Xander Masotto Vandana Bachani Balaji Lakshminarayanan Jack Nikodem Dong Yin NoLa 11 24 0 23 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 19 21 0 20 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 29 66 0 17 Jul 2021
Artificial Intelligence in PET: an Industry Perspective Arkadiusz Sitek Sangtae Ahn E. Asma A. Chandler Alvin Ihsani S. Prevrhal Arman Rahmim Babak Saboury K. Thielemans 14 5 0 14 Jul 2021
A Topological-Framework to Improve Analysis of Machine Learning Model Performance Henry Kvinge Colby Wight Sarah Akers Scott Howland W. Choi Xiaolong Ma Luke J. Gosink E. Jurrus K. Kappagantula Tegan H. Emerson 29 0 0 09 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 14 266 0 09 Jul 2021
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification Alkis Gotovos R. Burkholz John Quackenbush Stefanie Jegelka 11 8 0 06 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models G. dÉon Jason dÉon J. R. Wright Kevin Leyton-Brown 20 74 0 01 Jul 2021
The MultiBERTs: BERT Reproductions for Robustness Analysis Thibault Sellam Steve Yadlowsky Jason W. Wei Naomi Saphra Alexander DÁmour ... Iulia Turc Jacob Eisenstein Dipanjan Das Ian Tenney Ellie Pavlick 22 93 0 30 Jun 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang S. Song Sara Hooker 17 75 0 22 Jun 2021
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA Hermanni Hälvä Sylvain Le Corff Luc Lehéricy Jonathan So Yongjie Zhu Elisabeth Gassiat Aapo Hyvarinen CML 29 64 0 17 Jun 2021
Controlling Neural Networks with Rule Representations Sungyong Seo Sercan Ö. Arik Jinsung Yoon Xiang Zhang Kihyuk Sohn Tomas Pfister OOD AI4CE 19 35 0 14 Jun 2021
Extracting Global Dynamics of Loss Landscape in Deep Learning Models Mohammed Eslami Hamed Eramian Marcio Gameiro W. Kalies Konstantin Mischaikow 11 1 0 14 Jun 2021
Characterizing the risk of fairwashing Ulrich Aivodji Hiromi Arai Sébastien Gambs Satoshi Hara 18 27 0 14 Jun 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks Zhilu Zhang Vianne R. Gao M. Sabuncu UQCV 17 6 0 09 Jun 2021
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions Daniel Rosenberg Itai Gat Amir Feder Roi Reichart AAML 34 16 0 08 Jun 2021
Meta-Learning to Compositionally Generalize Henry Conklin Bailin Wang Kenny Smith Ivan Titov OOD 26 73 0 08 Jun 2021
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning Zachary Nado Neil Band Mark Collier Josip Djolonga Michael W. Dusenberry ... D. Sculley Balaji Lakshminarayanan Jasper Snoek Y. Gal Dustin Tran UQCV ELM 19 96 0 07 Jun 2021
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference Hai Hu He Zhou Zuoyu Tian Yiwen Zhang Yina Ma Yanting Li Yixin Nie Kyle Richardson 19 11 0 07 Jun 2021