Title
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks Edward Raff M. Benaroch Andrew L. Farris AAML 22 2 0 16 Jun 2023
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier Carol Xuan Long Hsiang Hsu Wael Alghamdi Flavio du Pin Calmon FaML 16 6 0 15 Jun 2023
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems Roman Beltiukov Wenbo Guo Arpit Gupta W. Willinger 25 14 0 15 Jun 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations Anna P. Meyer Dan Ley Suraj Srinivas Himabindu Lakkaraju FAtt 34 6 0 11 Jun 2023
Consistent Explanations in the Face of Model Indeterminacy via Ensembling Dan Ley Leonard Tang Matthew Nazari Hongjin Lin Suraj Srinivas Himabindu Lakkaraju 6 2 0 09 Jun 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards Alexandre Ramé Guillaume Couairon Mustafa Shukor Corentin Dancette Jean-Baptiste Gaya Laure Soulier Matthieu Cord MoMe 35 135 0 07 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 24 19 0 05 Jun 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz Goutham Rajendran Elan Rosenfeld Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar CML 32 57 0 04 Jun 2023
An Invariant Learning Characterization of Controlled Text Generation Carolina Zheng Claudia Shi Keyon Vafa Amir Feder David M. Blei OOD 22 8 0 31 May 2023
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers Parikshit Bansal Amit Sharma CML 24 5 0 26 May 2023
On Degrees of Freedom in Defining and Testing Natural Language Understanding Saku Sugawara S. Tsugita ELM 21 1 0 24 May 2023
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations Yuxin Ren Qipeng Guo Zhijing Jin Shauli Ravfogel Mrinmaya Sachan Bernhard Schölkopf Ryan Cotterell 14 4 0 23 May 2023
Evaluating Model Performance in Medical Datasets Over Time Helen Zhou Yuwen Chen Zachary Chase Lipton OOD 21 4 0 22 May 2023
Measuring and Mitigating Local Instability in Deep Neural Networks Arghya Datta Subhrangshu Nandi Jingcheng Xu Greg Ver Steeg He Xie Anoop Kumar Aram Galstyan 15 3 0 18 May 2023
Echoes of Biases: How Stigmatizing Language Affects AI Performance Yizhi Liu Weiguang Wang G. Gao Ritu Agarwal 16 2 0 17 May 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 36 1 0 21 Apr 2023
The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions Anna P. Meyer Aws Albarghouthi Loris Dántoni 22 13 0 20 Apr 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Stella Biderman Hailey Schoelkopf Quentin G. Anthony Herbie Bradley Kyle O'Brien ... USVSN Sai Prashanth Edward Raff Aviya Skowron Lintang Sutawika Oskar van der Wal 30 1,164 0 03 Apr 2023
Eight Things to Know about Large Language Models Sam Bowman ALM 15 113 0 02 Apr 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts Dongyoon Han Junsuk Choe Dante Chun John Joon Young Chung Minsuk Chang Sangdoo Yun Jean Y. Song Seong Joon Oh OOD 424 4 1 30 Mar 2023
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning Aapo Hyvarinen Ilyes Khemakhem H. Morioka CML OOD 22 34 0 29 Mar 2023
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models Chudi Zhong Zhi Chen Jiachang Liu Margo Seltzer Cynthia Rudin 28 11 0 28 Mar 2023
TRAK: Attributing Model Behavior at Scale Sung Min Park Kristian Georgiev Andrew Ilyas Guillaume Leclerc A. Madry TDI 25 127 0 24 Mar 2023
The Representational Status of Deep Learning Models Eamon Duede 13 0 0 21 Mar 2023
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations G. An Chase Cockrell 16 2 0 16 Mar 2023
Use Perturbations when Learning from Explanations Juyeon Heo Vihari Piratla Matthew Wicker Adrian Weller AAML 30 1 0 11 Mar 2023
Uncertainty quantification in neural network classifiers -- a local linear approach Magnus Malmström Isaac Skog Daniel Axehill Fredrik K. Gustafsson UQCV 24 1 0 10 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 184 30 0 09 Mar 2023
When does Privileged Information Explain Away Label Noise? Guillermo Ortiz-Jiménez Mark Collier Anant Nawalgaria Alexander DÁmour Jesse Berent Rodolphe Jenatton E. Kokiopoulou NoLa 152 7 0 03 Mar 2023
Representation Disentaglement via Regularization by Causal Identification Juan Castorena OOD CML 12 0 0 28 Feb 2023
Arbitrary Decisions are a Hidden Cost of Differentially Private Training B. Kulynych Hsiang Hsu Carmela Troncoso Flavio du Pin Calmon 12 18 0 28 Feb 2023
Out-of-Domain Robustness via Targeted Augmentations Irena Gao Shiori Sagawa Pang Wei Koh Tatsunori Hashimoto Percy Liang OODD OOD 22 21 0 23 Feb 2023
Data-Centric Governance Sean McGregor Jesse Hostetler 11 0 0 14 Feb 2023
Towards Inferential Reproducibility of Machine Learning Research Michael Hagmann Philipp Meier Stefan Riezler 21 2 0 08 Feb 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 27 26 0 04 Feb 2023
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System Charles Fox Neil Tran Nikki Nacion Samiha Sharlin Tyler R. Josephson 14 3 0 27 Jan 2023
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML) Stephen Meisenbacher P. Norlander AILaw 11 2 0 20 Jan 2023
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones AI4CE 15 27 0 23 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 29 81 0 20 Dec 2022
It is not "accuracy vs. explainability" -- we need both for trustworthy AI systems D. Petkovic 14 21 0 16 Dec 2022
On the Relationship Between Explanation and Prediction: A Causal View Amir-Hossein Karimi Krikamol Muandet Simon Kornblith Bernhard Schölkopf Been Kim FAtt CML 24 14 0 13 Dec 2022
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer Olalekan Ogundipe Zeyneb Kurt Wai Lok Woo 17 1 0 13 Dec 2022
Minimax Optimal Estimation of Stability Under Distribution Shift Hongseok Namkoong Yuanzhe Ma Peter Glynn 22 6 0 13 Dec 2022
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 82 0 09 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 13 5 0 28 Nov 2022
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection S. Purkayastha H. Shalu David C Gutman S. Modak E. Basu B. Kushner K. Kramer S. Haque J. Stember MedIm 18 1 0 26 Nov 2022
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? Rishi Bommasani Kathleen A. Creel Ananya Kumar Dan Jurafsky Percy Liang 17 77 0 25 Nov 2022
Undesirable Biases in NLP: Addressing Challenges of Measurement Oskar van der Wal Dominik Bachmann Alina Leidinger L. Maanen Willem H. Zuidema K. Schulz 17 6 0 24 Nov 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 36 5 0 24 Nov 2022
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference Frano Rajic Ivan Stresec Axel Marmet Tim Postuvan 16 3 0 23 Nov 2022