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

Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts NIPS 2023
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time NIPS 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection ICCV 2023
Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NIPS 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts NIPS 2023
Balanced Product of Calibrated Experts for Long-Tailed Recognition CVPR 2023
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples ICCV 2023
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning CVPR 2023
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams NIPS 2023
Robust Test-Time Adaptation in Dynamic Scenarios CVPR 2023
Improved Test-Time Adaptation for Domain Generalization CVPR 2023
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models EMNLP 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
Anomaly Detection Under Distribution Shift ICCV 2023
GeoNet: Benchmarking Unsupervised Adaptation Across Geographies CVPR 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise EMNLP 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency CVPR 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations 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