Title
Verified Training for Counterfactual Explanation Robustness under Data Shift Anna P. Meyer Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML OOD 48 2 0 06 Mar 2024
HeAR -- Health Acoustic Representations Sebastien Baur Zaid Nabulsi Wei-Hung Weng Jake Garrison Louis Blankemeier ... Shwetak N. Patel S. Shetty Shruthi Prabhakara Monde Muyoyeta Diego Ardila LM&MA 24 10 0 04 Mar 2024
Can a Confident Prior Replace a Cold Posterior? Martin Marek Brooks Paige Pavel Izmailov UQCV BDL 27 4 0 02 Mar 2024
Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness Riccardo Pala Esteban García-Cuesta 16 0 0 29 Feb 2024
Algorithmic Arbitrariness in Content Moderation Juan Felipe Gomez Caio Vieira Machado Lucas Monteiro Paes Flavio du Pin Calmon 23 9 0 26 Feb 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty Sara Vera Marjanović Isabelle Augenstein Christina Lioma AAML 40 0 0 20 Feb 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models Goutham Rajendran Simon Buchholz Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar AI4CE 83 21 0 14 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 79 7 0 12 Feb 2024
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence Thomas A. Lasko J. M. Still Thomas Z. Li Marco Barbero Mota William W Stead Eric V. Strobl Bennett A. Landman Fabien Maldonado 28 1 0 08 Feb 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 11 1 0 05 Feb 2024
A Safety-Adapted Loss for Pedestrian Detection in Automated Driving Maria Lyssenko Piyush Pimplikar Maarten Bieshaar Farzad Nozarian Rudolph Triebel 16 2 0 05 Feb 2024
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation Hsiang Hsu Guihong Li Shaohan Hu Chun-Fu Chen Chen 13 5 0 01 Feb 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 34 6 0 26 Jan 2024
WARM: On the Benefits of Weight Averaged Reward Models Alexandre Ramé Nino Vieillard Léonard Hussenot Robert Dadashi Geoffrey Cideron Olivier Bachem Johan Ferret 102 93 0 22 Jan 2024
X Hacking: The Threat of Misguided AutoML Rahul Sharma Sergey Redyuk Sumantrak Mukherjee Andrea Sipka Sebastian Vollmer David Selby 21 2 0 16 Jan 2024
Few-Shot Detection of Machine-Generated Text using Style Representations Rafael A. Rivera Soto Kailin Koch Aleem Khan Barry Chen M. Bishop Nicholas Andrews DeLMO 11 23 0 12 Jan 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 30 1 0 29 Dec 2023
Unraveling the Key Components of OOD Generalization via Diversification Harold Benoit Liangze Jiang Andrei Atanov Ouguzhan Fatih Kar Mattia Rigotti Amir Zamir CML 29 2 0 26 Dec 2023
Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report) Junqi Jiang Antonio Rago Francesco Leofante Francesca Toni 23 7 0 22 Dec 2023
PICNN: A Pathway towards Interpretable Convolutional Neural Networks Wengang Guo Jiayi Yang Huilin Yin Qijun Chen Wei Ye 26 3 0 19 Dec 2023
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking Jacob Eisenstein Chirag Nagpal Alekh Agarwal Ahmad Beirami Alex DÁmour ... Katherine Heller Stephen R. Pfohl Deepak Ramachandran Peter Shaw Jonathan Berant 24 82 0 14 Dec 2023
Towards small and accurate convolutional neural networks for acoustic biodiversity monitoring S. Zaugg M. V. D. Schaar F. Erbs Antonio Sanchez J. V. Castell Emiliano Ramallo Michel André 15 0 0 06 Dec 2023
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study Karolis Ramanauskas Özgür Simsek 21 0 0 05 Dec 2023
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis Goutham Rajendran Patrik Reizinger Wieland Brendel Pradeep Ravikumar CML 32 8 0 29 Nov 2023
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification Prakhar Ganesh 34 5 0 24 Nov 2023
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction Adil Dahlan C. Zakka Abhinav Kumar Laura Tang R. Shad R. Fong W. Hiesinger 22 2 0 21 Nov 2023
MADG: Margin-based Adversarial Learning for Domain Generalization Aveen Dayal B. VimalK. Linga Reddy Cenkeramaddi C. K. Mohan Abhinav Kumar Vineeth N. Balasubramanian OOD AAML 24 63 0 14 Nov 2023
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education Mei Tan Hansol Lee Dakuo Wang Hariharan Subramonyam 21 7 0 09 Nov 2023
Why Do Probabilistic Clinical Models Fail To Transport Between Sites? Thomas A. Lasko Eric V. Strobl William W Stead OOD 36 7 0 08 Nov 2023
Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features Diogo Cruz Edoardo Pona Alex Holness-Tofts Elias Schmied Víctor Abia Alonso Charlie Griffin B. Cirstea 22 0 0 07 Nov 2023
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review Hira Naveed Chetan Arora Hourieh Khalajzadeh John C. Grundy O. Haggag 21 11 0 01 Nov 2023
A Path to Simpler Models Starts With Noise Lesia Semenova Harry Chen Ronald E. Parr Cynthia Rudin 33 15 0 30 Oct 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization Zixin Ding Si-An Chen Ruoxi Jia Yuxin Chen 35 1 0 25 Oct 2023
netFound: Foundation Model for Network Security Satyandra Guthula Navya Battula Roman Beltiukov Wenbo Guo Arpit Gupta Inder Monga 21 14 0 25 Oct 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 24 19 0 25 Oct 2023
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models Emmanuel Klu Sameer Sethi DJ Passey Donald Martin AI4CE SyDa 21 0 0 19 Oct 2023
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 21 1 0 18 Oct 2023
Eliciting Human Preferences with Language Models Belinda Z. Li Alex Tamkin Noah D. Goodman Jacob Andreas RALM 25 42 0 17 Oct 2023
Assessing the Causal Impact of Humanitarian Aid on Food Security Jordi Cerda Bautista José María Tárraga Vasileios Sitokonstantinou Gustau Camps-Valls 13 1 0 17 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance J. Donnelly Srikar Katta Cynthia Rudin E. Browne FAtt 14 15 0 24 Sep 2023
Loop Polarity Analysis to Avoid Underspecification in Deep Learning JR DONALD MARTIN St. Louis 26 0 0 18 Sep 2023
Deep Learning Safety Concerns in Automated Driving Perception Stephanie Abrecht Alexander Hirsch Shervin Raafatnia Matthias Woehrle 21 11 0 07 Sep 2023
Learning Diverse Features in Vision Transformers for Improved Generalization A. Nicolicioiu Andrei Liviu Nicolicioiu B. Alexe Damien Teney 29 3 0 30 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang Hao Liu Chaozhuo Li Xing Xie Sunghun Kim Haohan Wang VLM OOD 22 8 0 21 Aug 2023
Robustness Stress Testing in Medical Image Classification Mobarakol Islam Zeju Li Ben Glocker OOD 11 6 0 14 Aug 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 28 6 0 20 Jul 2023
Conditional independence testing under misspecified inductive biases Felipe Maia Polo Yuekai Sun Moulinath Banerjee CML 27 3 0 05 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 30 36 0 27 Jun 2023
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints J. Watson-Daniels Solon Barocas Jake M. Hofman Alexandra Chouldechova 10 11 0 23 Jun 2023