Title
DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection Tina Behrouzi S. Tonekaboni Rahul G. Krishnan Anna Goldenberg 44 0 0 11 Jun 2025
Robust Few-Shot Vision-Language Model Adaptation Hanxin Wang Tian Liu Shu Kong VLM 121 0 0 05 Jun 2025
Data Heterogeneity Modeling for Trustworthy Machine Learning Jiashuo Liu Peng Cui 59 0 0 01 Jun 2025
Asymmetric Duos: Sidekicks Improve Uncertainty Tim G. Zhou Evan Shelhamer Geoff Pleiss UQCV 53 0 0 24 May 2025
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment Younghyun Kim Jongheon Jeong Sangkyung Kwak Kyungmin Lee Juho Lee Jinwoo Shin 63 0 0 19 May 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models? Robin Hesse Doğukan Bağcı Bernt Schiele Simone Schaub-Meyer Stefan Roth VLM 112 0 0 21 Mar 2025
All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning Gokul Swamy Sanjiban Choudhury Wen Sun Zhiwei Steven Wu J. Andrew Bagnell OffRL 142 20 0 03 Mar 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim G. Nam Chulhee Yun Hongseok Yang Juho Lee BDL UQCV 103 0 0 02 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 130 0 0 01 Mar 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 116 0 0 09 Feb 2025
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking Benjamin Feuer Micah Goldblum Teresa Datta Sanjana Nambiar Raz Besaleli Samuel Dooley Max Cembalest John P. Dickerson ALM 153 0 0 28 Jan 2025
Predictable Artificial Intelligence Lexin Zhou Pablo Antonio Moreno Casares Fernando Martínez-Plumed John Burden Ryan Burnell ... Seán Ó hÉigeartaigh Danaja Rutar Wout Schellaert Konstantinos Voudouris José Hernández-Orallo 146 3 0 08 Jan 2025
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Sy-Tuyen Ho Tuan Van Vo Somayeh Ebrahimkhani Ngai-Man Cheung 88 0 0 08 Jan 2025
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Kaican Li Weiyan Xie Yongxiang Huang Didan Deng Lanqing Hong Zechao Li Ricardo Silva N. Zhang 148 0 0 29 Nov 2024
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Marco Colussi S. Mascetti Jose Dolz Christian Desrosiers 127 0 0 26 Nov 2024
Loss-to-Loss Prediction: Scaling Laws for All Datasets David Brandfonbrener Nikhil Anand Nikhil Vyas Eran Malach Sham Kakade 132 4 0 19 Nov 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu Henry Lam Hongseok Namkoong LMTD 98 2 0 09 Oct 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification Benjamin Feuer Jiawei Xu Niv Cohen Patrick Yubeaton Govind Mittal Chinmay Hegde 60 3 0 07 Oct 2024
Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli Valentyn Piskovskyi Riccardo Chimisso Sabrina Patania Tom Foulsham Giuseppe Vizzari Dimitri Ognibene 70 0 0 06 Oct 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Liangze Jiang Damien Teney OODD OOD 141 1 0 03 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models Weijie Tu Weijian Deng Tom Gedeon VLM 74 5 0 02 Oct 2024
Contrastive Abstraction for Reinforcement Learning Vihang Patil M. Hofmarcher Elisabeth Rumetshofer Sepp Hochreiter OffRL SSL 107 2 0 01 Oct 2024
Unsupervised Domain Adaptation Via Data Pruning Andrea Napoli Paul White 58 1 0 18 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy Coby Penso Jacob Goldberger 74 0 0 06 Sep 2024
The Data Addition Dilemma Judy Hanwen Shen Inioluwa Deborah Raji Irene Y. Chen 81 7 0 08 Aug 2024
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies Jia Shi Gautam Gare Jinjin Tian Siqi Chai Zhiqiu Lin Arun Vasudevan Di Feng Francesco Ferroni Shu Kong VLM OODD OOD 100 6 0 22 Jul 2024
Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection Sebastian Cygert Damian Sójka Tomasz Trzciñski Bartlomiej Twardowski 94 0 0 19 Jul 2024
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification Markus Marks Manuel Knott Neehar Kondapaneni Elijah Cole T. Defraeye Fernando Pérez-Cruz Pietro Perona SSL 125 5 0 16 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models Rohan Sinha Amine Elhafsi Christopher Agia Matthew Foutter Edward Schmerling Marco Pavone OffRL LRM 94 32 0 11 Jul 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 118 1 0 05 Jul 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning Bac Nguyen Stefan Uhlich Fabien Cardinaux Lukas Mauch Marzieh Edraki Aaron Courville OODD CLL VLM 131 5 0 03 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 96 18 0 01 Jul 2024
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation Amartya Sanyal Yaxi Hu Yaodong Yu Yian Ma Yixin Wang Bernhard Schölkopf OODD 83 2 0 27 Jun 2024
MD tree: a model-diagnostic tree grown on loss landscape Yefan Zhou Jianlong Chen Qinxue Cao Konstantin Schürholt Yaoqing Yang 96 2 0 24 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 94 1 0 14 Jun 2024
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation Riccardo Fogliato Pratik Patil Mathew Monfort Pietro Perona 69 1 0 11 Jun 2024
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions Denys Pushkin Raphael Berthier Emmanuel Abbe 65 0 0 10 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 181 6 0 05 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 66 3 0 02 Jun 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu AAML 94 12 0 27 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 123 0 0 24 May 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? Md Yousuf Harun Kyungbok Lee Jhair Gallardo Giri Krishnan Christopher Kanan 103 6 0 23 May 2024
Diagnosing and Predicting Autonomous Vehicle Operational Safety Using Multiple Simulation Modalities and a Virtual Environment Joe Beck Shean Huff Subhadeep Chakraborty 63 1 0 13 May 2024
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning M. Chahoud Hani Sami Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 59 0 0 12 May 2024
The Entropy Enigma: Success and Failure of Entropy Minimization Ori Press Ravid Shwartz-Ziv Yann LeCun Matthias Bethge UQCV 128 15 0 08 May 2024
Exploring the Capability of LLMs in Performing Low-Level Visual Analytic Tasks on SVG Data Visualizations Zhongzhen Xu Emily Wall 86 16 0 29 Apr 2024
Robust Fine-tuning for Pre-trained 3D Point Cloud Models Zhibo Zhang Ximing Yang Weizhong Zhang Cheng Jin 3DPC 102 1 0 25 Apr 2024
RankCLIP: Ranking-Consistent Language-Image Pretraining Yiming Zhang Zhuokai Zhao Zhaorun Chen Zhili Feng Zenghui Ding Yining Sun SSL VLM 150 7 0 15 Apr 2024
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies Zichao Li Cihang Xie E. D. Cubuk CLIP 74 9 0 12 Apr 2024
ImageNot: A contrast with ImageNet preserves model rankings Olawale Salaudeen Moritz Hardt VLM 56 7 0 02 Apr 2024