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Domain Adaptation

8,962 papers

Papers per year

15
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1443
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Papers

Estimating Generalization under Distribution Shifts via Domain-Invariant Representations ICML 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction ICML 2020
Margin-aware Adversarial Domain Adaptation with Optimal Transport ICML 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? ICML 2020
Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020
LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020
Set Functions for Time Series ICML 2020
The Non-IID Data Quagmire of Decentralized Machine Learning ICML 2020
Learning Portable Representations for High-Level Planning ICML 2020
T-GD: Transferable GAN-generated Images Detection Framework ICML 2020
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation ICML 2020
Domain Adaptive Imitation Learning ICML 2020
Concept Bottleneck Models ICML 2020
Understanding Self-Training for Gradual Domain Adaptation ICML 2020
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression ICML 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation ICML 2020
Progressive Graph Learning for Open-Set Domain Adaptation ICML 2020
DeepCoDA: personalized interpretability for compositional health data ICML 2020
Discriminative Adversarial Search for Abstractive Summarization ICML 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective ICML 2020
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer ICML 2020
Continuously Indexed Domain Adaptation ICML 2020
Domain Aggregation Networks for Multi-Source Domain Adaptation ICML 2020
Data Valuation using Reinforcement Learning ICML 2020