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

Adversarial Learning for Feature Shift Detection and Correction NIPS 2023
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation EMNLP 2023
On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation EMNLP 2023
Information Transfer in Multitask Learning, Data Augmentation, and Beyond AAAI 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise EMNLP 2023
Benchmarking Distribution Shift in Tabular Data with TableShift NIPS 2023
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NIPS 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023
Learning Optimal Features via Partial Invariance AAAI 2023
An Equivalence Analysis of Binary Quantification Methods AAAI 2023
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification AAAI 2023
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems NIPS 2023
TeST: Test-Time Self-Training Under Distribution Shift WACV 2023
Adaptation Augmented Model-based Policy Optimization JMLR 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations NIPS 2023
Reliable learning in challenging environments NIPS 2023
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection AAAI 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation ICML 2023
Auditing Fairness by Betting NIPS 2023
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NIPS 2023
Concept-based Explanations for Out-of-Distribution Detectors ICML 2023
Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023
Discrete Key-Value Bottleneck ICML 2023