Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift

18 July 2022

Papers citing "Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift"

33 / 33 papers shown

Title
Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality Qitong Wang Tang Li Kien X. Nguyen Xi Peng 70 0 0 17 Dec 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction B. Zhu Jiequan Cui H. Zhang VLM OODD 33 0 0 11 Nov 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting Xingyu Zhu B. Zhu Yi Tan Shuo Wang Y. Hao Hanwang Zhang VLM VPVLM 29 1 0 25 Oct 2024
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models Emre Onal Klemens Flöge Emma Caldwell A. Sheverdin Vincent Fortuin UQCV BDL 32 9 0 06 May 2024
On the Benefits of Over-parameterization for Out-of-Distribution Generalization Yifan Hao Yong Lin Difan Zou Tong Zhang OODD OOD 21 4 0 26 Mar 2024
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement Yuxuan Wang Xiaoyuan Liu VLM 39 0 0 24 Mar 2024
Bridging Domains with Approximately Shared Features Ziliang Samuel Zhong Xiang Pan Qi Lei OOD 21 1 0 11 Mar 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness Hoang Phan Andrew Gordon Wilson Qi Lei 36 5 0 05 Mar 2024
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness Jiequan Cui Beier Zhu Xin Wen Xiaojuan Qi Bei Yu H. Zhang 19 7 0 28 Feb 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis Lorenzo Peracchio G. Nicora Enea Parimbelli T. M. Buonocore Roberto Bergamaschi Eleonora Tavazzi A. Dagliati Riccardo Bellazzi 21 0 0 27 Feb 2024
Assessing Uncertainty Estimation Methods for 3D Image Segmentation under Distribution Shifts Masoumeh Javanbakhat Md Tasnimul Hasan Cristoph Lippert UQCV OOD 17 1 0 10 Feb 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition Chen Chen Ruizhe Li Yuchen Hu Sabato Marco Siniscalchi Pin-Yu Chen Ensiong Chng Chao-Han Huck Yang 24 19 0 08 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 33 1 0 07 Feb 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh Hyesu Lim Mijoo Kim Dongyoon Han Junhyeok Park Euiseog Jeong Alexander G. Hauptmann Zhi-Qi Cheng Kyungwoo Song VLM 16 13 0 03 Nov 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning Kun Song Huimin Ma Bochao Zou Huishuai Zhang Weiran Huang 18 10 0 23 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models Beier Zhu Kaihua Tang Qianru Sun Hanwang Zhang 14 21 0 12 Oct 2023
Spurious Feature Diversification Improves Out-of-distribution Generalization Yong Lin Lu Tan Yifan Hao Honam Wong Hanze Dong Weizhong Zhang Yujiu Yang Tong Zhang OODD 21 24 0 29 Sep 2023
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition Xuanyu Yi Jiajun Deng Qianru Sun Xiansheng Hua J. Lim Hanwang Zhang 3DPC 11 14 0 18 Aug 2023
Ethosight: A Reasoning-Guided Iterative Learning System for Nuanced Perception based on Joint-Embedding & Contextual Label Affinity Hugo Latapie Shan Yu Patrick Hammer K. Thórisson V. Petrosyan ... Mohsen Imani Mike Archbold Tangrui Li Pei Wang Justin W. Hart VLM 19 0 0 20 Jul 2023
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier Aditya Challa Snehanshu Saha S. Dhavala UQCV 12 2 0 25 Apr 2023
Reweighted Mixup for Subpopulation Shift Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li ... P. Zhao Qinghua Hu Bing Wu Changqing Zhang Jianhua Yao 16 3 0 09 Apr 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement Fartash Faghri Hadi Pouransari Sachin Mehta Mehrdad Farajtabar Ali Farhadi Mohammad Rastegari Oncel Tuzel 30 9 0 15 Mar 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 19 18 0 29 Jan 2023
Finetune like you pretrain: Improved finetuning of zero-shot vision models Sachin Goyal Ananya Kumar Sankalp Garg Zico Kolter Aditi Raghunathan CLIP VLM 27 136 0 01 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 11 5 0 28 Nov 2022
A Close Look into the Calibration of Pre-trained Language Models Yangyi Chen Lifan Yuan Ganqu Cui Zhiyuan Liu Heng Ji 17 43 0 31 Oct 2022
General Greedy De-bias Learning Xinzhe Han Shuhui Wang Chi Su Qingming Huang Qi Tian 11 7 0 20 Dec 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 28 3 0 30 Aug 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 153 62 0 08 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 369 0 09 May 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014