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Machine Learning
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Domain Adaptation
8,656 papers
Papers per year
2003: 1
2004: 2
2006: 11
2007: 9
2008: 8
2009: 13
2010: 14
2011: 16
2012: 16
2013: 44
2014: 32
2015: 44
2016: 126
2017: 203
2018: 378
2019: 662
2020: 726
2021: 1006
2022: 964
2023: 1217
2024: 1326
2025: 1387
2026: 451
Papers
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation
NIPS 2023
DVSOD: RGB-D Video Salient Object Detection
NIPS 2023
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
NIPS 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation
NIPS 2023
Revisiting the Evaluation of Image Synthesis with GANs
NIPS 2023
Convolution Monge Mapping Normalization for learning on sleep data
NIPS 2023
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
NIPS 2023
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
NIPS 2023
Fast Trainable Projection for Robust Fine-tuning
NIPS 2023
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
NIPS 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning
NIPS 2023
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
NIPS 2023
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
NIPS 2023
Eliminating Domain Bias for Federated Learning in Representation Space
NIPS 2023
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
NIPS 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
NIPS 2023
Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice
NIPS 2023
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
NIPS 2023
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
NIPS 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
NIPS 2023
Characterizing Out-of-Distribution Error via Optimal Transport
NIPS 2023
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
NIPS 2023
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms
NIPS 2023
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
NIPS 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
NIPS 2023
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