conftrace_

distribution shift

722 papers

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Also known as

DS

Co-occurring keywords

domain adaptation (4595) domain generalization (1522) out-of-distribution detection (617) test-time adaptation (312) out-of-distribution generalization (408) causal inference (1630) representation learning (6206) transfer learning (5449) covariate shift (157) graph neural network (3962)

Papers

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes NIPS 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation NIPS 2022
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation NIPS 2022
Assessing Combinational Generalization of Language Models in Biased Scenarios IJCNLP 2022
Bayesian Invariant Risk Minimization CVPR 2022
Unsupervised Learning of Debiased Representations With Pseudo-Attributes CVPR 2022
Learning Prediction Intervals for Model Performance AAAI 2021
Online Adaptation to Label Distribution Shift NIPS 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021
Identifying and Benchmarking Natural Out-of-Context Prediction Problems NIPS 2021
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? NIPS 2021
Near-Optimal Linear Regression under Distribution Shift ICML 2021
Examining and Combating Spurious Features under Distribution Shift ICML 2021
MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space CVPR 2021
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization NIPS 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NIPS 2021
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization EMNLP 2021
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach L4DC 2021
Overparameterization Improves Robustness to Covariate Shift in High Dimensions NIPS 2021
Minimax Model Learning AISTATS 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NIPS 2021
Adaptive Conformal Inference Under Distribution Shift NIPS 2021
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization ICCV 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NIPS 2021