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Machine Learning
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Application Areas
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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
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
WACV 2021
Adapting Neural Architectures Between Domains
NIPS 2020
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
NIPS 2020
Distribution Matching for Crowd Counting
NIPS 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks
NIPS 2020
Model-based Policy Optimization with Unsupervised Model Adaptation
NIPS 2020
Robust Correction of Sampling Bias using Cumulative Distribution Functions
NIPS 2020
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
NIPS 2020
Unsupervised Sound Separation Using Mixture Invariant Training
NIPS 2020
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
NIPS 2020
Domain Adaptation as a Problem of Inference on Graphical Models
NIPS 2020
HOI Analysis: Integrating and Decomposing Human-Object Interaction
NIPS 2020
A Dictionary Approach to Domain-Invariant Learning in Deep Networks
NIPS 2020
Heuristic Domain Adaptation
NIPS 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
NIPS 2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
NIPS 2020
Listening to Sounds of Silence for Speech Denoising
NIPS 2020
An Unbiased Risk Estimator for Learning with Augmented Classes
NIPS 2020
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
NIPS 2020
Consistency Regularization for Certified Robustness of Smoothed Classifiers
NIPS 2020
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
NIPS 2020
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
NIPS 2020
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
NIPS 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
NIPS 2020
Improving robustness against common corruptions by covariate shift adaptation
NIPS 2020
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