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domain adaptation

4595 papers

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Also known as

DA

Co-occurring keywords

transfer learning (5449) unsupervised learning (3264) large language model (13587) semantic segmentation (3186) domain generalization (1522) representation learning (6206) neural machine translation (2310) adversarial learning (1595) text classification (6793) knowledge distillation (3725)

Papers

StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection CVPR 2023
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding CVPR 2023
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception CVPR 2023
Federated Incremental Semantic Segmentation CVPR 2023
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition CVPR 2023
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation CVPR 2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation CVPR 2023
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation CVPR 2023
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation CVPR 2023
RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors CVPR 2023
Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera CVPR 2023
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023
Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning CVPR 2023
Optimal Transport for Treatment Effect Estimation NIPS 2023
Fast Trainable Projection for Robust Fine-tuning NIPS 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations NIPS 2023
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems NIPS 2023
Semi-Supervised Domain Generalization with Known and Unknown Classes NIPS 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NIPS 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data NIPS 2023
Diversifying Spatial-Temporal Perception for Video Domain Generalization NIPS 2023
Adversarial Learning for Feature Shift Detection and Correction NIPS 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NIPS 2023
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift NIPS 2023