conftrace_

out-of-distribution robustness

48 papers

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Also known as

OOD ROBUSTNESS

Co-occurring keywords

domain adaptation (4595) distribution shift (722) domain generalization (1522) contrastive learning (4032) representation learning (6206) spurious correlation (279) out-of-distribution generalization (408) data augmentation (3052) transfer learning (5449) model compression (3302)

Papers

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NIPS 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations NIPS 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning CLEAR 2023
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023
Extensible Prompts for Language Models on Zero-shot Language Style Customization NIPS 2023
Masked Images Are Counterfactual Samples for Robust Fine-Tuning CVPR 2023
Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation CVPR 2023
Improve Video Representation with Temporal Adversarial Augmentation IJCAI 2023
Are Sample-Efficient NLP Models More Robust? ACL 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023
Practical uncertainty quantification for brain tumor segmentation MIDL 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy NIPS 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning CVPR 2022
C-Mixup: Improving Generalization in Regression NIPS 2022
Neural Attentive Circuits NIPS 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness NIPS 2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis ACL 2021
Pretrained Transformers Improve Out-of-Distribution Robustness ACL 2020
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020
Actively Seeking and Learning From Live Data CVPR 2019
Geometric Robustness of Deep Networks: Analysis and Improvement CVPR 2018