Title
Model Hemorrhage and the Robustness Limits of Large Language Models Ziyang Ma Zehan Li L. Zhang Gui-Song Xia Bo Du Liangpei Zhang Dacheng Tao 59 0 0 31 Mar 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 42 0 0 08 Jan 2025
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 46 1 0 04 Oct 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 31 1 0 05 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 37 1 0 30 Jun 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 48 1 0 27 Jun 2024
Uncertainty modeling for fine-tuned implicit functions A. Susmelj Mael Macuglia Nataša Tagasovska Reto Sutter Sebastiano Caprara Jean-Philippe Thiran E. Konukoglu 70 1 0 17 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Weijie Tu Weijian Deng Liang Zheng Tom Gedeon 40 0 0 14 Jun 2024
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation Riccardo Fogliato Pratik Patil Mathew Monfort Pietro Perona 24 1 0 11 Jun 2024
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models? Md Yousuf Harun Kyungbok Lee Jhair Gallardo Giri Krishnan Christopher Kanan 36 3 0 23 May 2024
Scaling Laws for Galaxy Images Mike Walmsley Micah Bowles Anna M. M. Scaife Jason Shingirai Makechemu Alexander J. Gordon ... Chris J. Lintott K. Mantha Devina Mohan David O’Ryan Inigo V. Slijepevic 23 4 0 03 Apr 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 41 6 0 14 Feb 2024
On Catastrophic Inheritance of Large Foundation Models Hao Chen Bhiksha Raj Xing Xie Jindong Wang AI4CE 56 12 0 02 Feb 2024
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study Sadman Sadeed Omee Nihang Fu Rongzhi Dong Ming Hu Jianjun Hu OOD 31 17 0 16 Jan 2024
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
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision Junaid Ali Matthäus Kleindessner F. Wenzel Kailash Budhathoki V. Cevher Chris Russell VLM 62 10 0 18 Oct 2023
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li Yifan Zhang Lanqing Hong Zhenguo Li Nevin L. Zhang OOD 41 0 0 10 Oct 2023
Tuning Multi-mode Token-level Prompt Alignment across Modalities Dongsheng Wang Miaoge Li Xinyang Liu Mingsheng Xu Bo Chen Hanwang Zhang VLM 36 16 0 25 Sep 2023
IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation Qiyu Sun Huilin Chen Meng Zheng Ziyan Wu Michael Felsberg Yang Tang 30 3 0 12 Sep 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization Zhecheng Yuan Sizhe Yang Pu Hua C. Chang Kaizhe Hu Huazhe Xu OOD OffRL 24 17 0 15 Jul 2023
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering Xiaolin Zheng Mengling Hu Weiming Liu Chaochao Chen Xinting Liao OOD AI4TS 30 8 0 23 May 2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation Jian Ding Nan Xue Guisong Xia Bernt Schiele Dengxin Dai ViT 17 30 0 22 May 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models Korawat Tanwisuth Shujian Zhang Huangjie Zheng Pengcheng He Mingyuan Zhou VLM VPVLM 91 28 0 29 Apr 2023
Meaningful Causal Aggregation and Paradoxical Confounding Yuchen Zhu Kailash Budhathoki Jonas Kuebler Dominik Janzing CML AI4CE 29 2 0 23 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 44 1 0 21 Apr 2023
Image retrieval outperforms diffusion models on data augmentation Max F. Burg F. Wenzel Dominik Zietlow Max Horn Osama Makansi Francesco Locatello Chris Russell VLM DiffM 42 16 0 20 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel L. Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 39 22 0 17 Apr 2023
Out-of-Variable Generalization for Discriminative Models Siyuan Guo J. Wildberger Bernhard Schölkopf OOD CML 30 2 0 16 Apr 2023
Exploring the Limits of Deep Image Clustering using Pretrained Models Nikolas Adaloglou Félix D. P. Michels Hamza Kalisch M. Kollmann VLM 24 26 0 31 Mar 2023
Robustifying Token Attention for Vision Transformers Yong Guo David Stutz Bernt Schiele ViT 21 24 0 20 Mar 2023
Finding Competence Regions in Domain Generalization Jens Müller Stefan T. Radev R. Schmier Felix Dräxler Carsten Rother Ullrich Kothe 19 4 0 17 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 34 0 0 10 Mar 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries Charlotte Loh Seung-Jun Han Shivchander Sudalairaj Rumen Dangovski Kai Xu F. Wenzel Marin Soljacic Akash Srivastava UQCV 39 1 0 04 Mar 2023
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV 44 12 0 07 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 33 31 0 06 Feb 2023
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 37 81 0 20 Dec 2022
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization Hiroki Naganuma Kartik Ahuja S. Takagi Tetsuya Motokawa Rio Yokota Kohta Ishikawa I. Sato Ioannis Mitliagkas OOD 13 7 0 15 Nov 2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 41 79 0 15 Nov 2022
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks Sadegh Mahdavi Kevin Swersky Thomas Kipf Milad Hashemi Christos Thrampoulidis Renjie Liao LRM OOD NAI 45 25 0 01 Nov 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney Yong Lin Seong Joon Oh Ehsan Abbasnejad OOD 375 47 0 01 Sep 2022
Neuromorphic Visual Scene Understanding with Resonator Networks Alpha Renner Lazar Supic Andreea Danielescu Giacomo Indiveri Bruno A. Olshausen Yulia Sandamirskaya Friedrich T. Sommer E. P. Frady 26 19 0 26 Aug 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 38 3 0 24 Jun 2022
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains X. Zhang S. Gu Yutaka Matsuo Yusuke Iwasawa VLM 38 36 0 25 Nov 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 192 257 0 10 Nov 2021
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 225 202 0 21 Oct 2021
Deep Classifiers with Label Noise Modeling and Distance Awareness Vincent Fortuin Mark Collier F. Wenzel J. Allingham J. Liu Dustin Tran Balaji Lakshminarayanan Jesse Berent Rodolphe Jenatton E. Kokiopoulou UQCV 34 11 0 06 Oct 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 256 621 0 21 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021