Title
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts Samar Khanna Medhanie Irgau David B. Lobell Stefano Ermon VLM 32 4 0 16 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
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 52 0 0 13 Jun 2024
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation Yunbei Zhang Akshay Mehra Jihun Hamm VLM 39 2 0 12 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
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 43 4 0 10 Jun 2024
Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu Fan Nie Chenxiao Yang Junchi Yan OOD 48 1 0 07 Jun 2024
Adapting Conformal Prediction to Distribution Shifts Without Labels Kevin Kasa Zhiyu Zhang Heng Yang Graham W. Taylor 32 1 0 03 Jun 2024
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function Keyon Vafa Ashesh Rambachan S. Mullainathan ELM ALM 24 13 0 03 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 40 1 0 02 Jun 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning Yiping Wang Yifang Chen Wendan Yan Alex Fang Wenjing Zhou Kevin G. Jamieson S. Du 36 7 0 29 May 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts Renchunzi Xie Ambroise Odonnat Vasilii Feofanov Weijian Deng Jianfeng Zhang Bo An 54 2 0 29 May 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi 49 0 0 28 May 2024
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings Robert Wolfe Isaac Slaughter Bin Han Bingbing Wen Yiwei Yang ... Bernease Herman E. Brown Zening Qu Nicholas Weber Bill Howe 43 4 0 27 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection Lin Zhu Yifeng Yang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye VLM 34 2 0 26 May 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images Yiran Luo Joshua Forster Feinglass Tejas Gokhale Kuan-Cheng Lee Chitta Baral Yezhou Yang 37 0 0 24 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 58 3 0 23 May 2024
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment M. S. Danish Muhammad Haris Khan Muhammad Akhtar Munir M. Sarfraz Mohsen Ali ObjD 46 10 0 23 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 47 1 0 21 May 2024
A General Theory for Compositional Generalization Jingwen Fu Zhizheng Zhang Yan Lu Nanning Zheng AI4CE CoGe 29 2 0 20 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 38 2 0 18 May 2024
Cross-Domain Feature Augmentation for Domain Generalization Yingnan Liu Yingtian Zou Rui Qiao Fusheng Liu M. Lee W. Hsu OOD 43 4 0 14 May 2024
PLUTO: Pathology-Universal Transformer Dinkar Juyal Harshith Padigela Chintan Shah Daniel Shenker Natalia Harguindeguy ... E. Walk J. Abel Harsha Pokkalla A. Beck S. Grullon MedIm ViT LM&MA 27 12 0 13 May 2024
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks Haijiang Tian Jingkun Yue Xiaohong Liu Guoxing Yang Zeyu Jiang Guangyu Wang VLM MedIm 52 0 0 13 May 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 51 1 0 10 May 2024
The Role of Learning Algorithms in Collective Action Omri Ben-Dov Jake Fawkes Samira Samadi Amartya Sanyal 39 3 0 10 May 2024
Taking a Moment for Distributional Robustness Jabari Hastings Christopher Jung Charlotte Peale Vasilis Syrgkanis OOD 43 1 0 08 May 2024
Selective Classification Under Distribution Shifts Hengyue Liang Le Peng Ju Sun UQCV 43 1 0 08 May 2024
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training Wenyu Zhang Li Shen Chuan-Sheng Foo VLM TTA 42 4 0 05 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation Zhixiang Chi Li Gu Tao Zhong Huan Liu Yuanhao Yu Konstantinos N Plataniotis Yang Wang VLM OOD 39 7 0 05 May 2024
Minimax Regret Learning for Data with Heterogeneous Subgroups Weibin Mo Weijing Tang Songkai Xue Yufeng Liu Ji Zhu 26 4 0 02 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 48 2 0 28 Apr 2024
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts Wonjae Kim Sanghyuk Chun Taekyung Kim Dongyoon Han Sangdoo Yun 47 7 0 26 Apr 2024
Conformal Prediction with Learned Features Shayan Kiyani George Pappas Hamed Hassani 23 8 0 26 Apr 2024
Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection Weixing Wang Haojin Yang Christoph Meinel Hasan Yağiz Özkan Cristian Bermudez Serna C. M. Machuca 24 0 0 23 Apr 2024
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference Yujin Han Difan Zou AAML 34 3 0 22 Apr 2024
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change Niklas Penzel Gideon Stein Joachim Denzler 33 0 0 18 Apr 2024
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology Juan L. Gamella Jonas Peters Peter Buhlmann 80 8 0 17 Apr 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? Rishabh Ranjan Saurabh Garg Mrigank Raman Carlos Guestrin Zachary Chase Lipton 42 0 0 11 Apr 2024
Anchor-based Robust Finetuning of Vision-Language Models Jinwei Han Zhiwen Lin Zhongyi Sun Yingguo Gao Ke Yan Shouhong Ding Yuan Gao Gui-Song Xia VLM 71 6 0 09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 51 5 0 08 Apr 2024
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations Tham Yik Foong Heng Zhang Mao Po Yuan Danilo Vasconcellos Vargas OOD 29 0 0 08 Apr 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm Shurui Gui Xiner Li Shuiwang Ji TTA 61 11 0 07 Apr 2024
Domain Generalisation via Imprecise Learning Anurag Singh Siu Lun Chau S. Bouabid Krikamol Muandet AI4CE OOD 38 5 0 06 Apr 2024
Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models M. Pennisi Giovanni Bellitto S. Palazzo Mubarak Shah C. Spampinato DiffM 24 0 0 03 Apr 2024
Heat Death of Generative Models in Closed-Loop Learning Matteo Marchi Stefano Soatto Pratik Chaudhari Paulo Tabuada SyDa VLM AI4CE 33 14 0 02 Apr 2024
A Holistic Indicator of Polarization to Measure Online Sexism V. Ghafouri Jose Such Guillermo Suarez-Tangil 16 0 0 02 Apr 2024
ViTamin: Designing Scalable Vision Models in the Vision-Language Era Jienneg Chen Qihang Yu Xiaohui Shen Alan L. Yuille Liang-Chieh Chen 3DV VLM 38 24 0 02 Apr 2024
Test-Time Model Adaptation with Only Forward Passes Shuaicheng Niu Chunyan Miao Guohao Chen Pengcheng Wu Peilin Zhao TTA 43 18 0 02 Apr 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line Aman Mehra Rahul Saxena Taeyoun Kim Christina Baek Zico Kolter Aditi Raghunathan UQCV 46 1 0 02 Apr 2024