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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
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
NIPS 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
NIPS 2023
Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
NIPS 2023
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
NIPS 2023
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
NIPS 2023
Quilt-1M: One Million Image-Text Pairs for Histopathology
NIPS 2023
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
NIPS 2023
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
NIPS 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
NIPS 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation
NIPS 2023
Analyzing Vision Transformers for Image Classification in Class Embedding Space
NIPS 2023
Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization
NIPS 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
NIPS 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
NIPS 2023
SODA: Robust Training of Test-Time Data Adaptors
NIPS 2023
Domain Adaptive Imitation Learning with Visual Observation
NIPS 2023
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
NIPS 2023
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
NIPS 2023
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios
NIPS 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
NIPS 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
NIPS 2023
CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
NIPS 2023
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
NIPS 2023
Generalizable One-shot 3D Neural Head Avatar
NIPS 2023
Equivariant Adaptation of Large Pretrained Models
NIPS 2023
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