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Domain Adaptation

8,656 papers

Papers per year

Papers

Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
Online Decision Based Visual Tracking via Reinforcement Learning NIPS 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift NIPS 2020
Guiding Deep Molecular Optimization with Genetic Exploration NIPS 2020
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NIPS 2020
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps NIPS 2020
Transfer Learning via $\ell_1$ Regularization NIPS 2020
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning NIPS 2020
Shared Space Transfer Learning for analyzing multi-site fMRI data NIPS 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020
Universal Domain Adaptation through Self Supervision NIPS 2020
Stochastic Normalization NIPS 2020
Co-Tuning for Transfer Learning NIPS 2020
CO-Optimal Transport NIPS 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation NIPS 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift NIPS 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data NIPS 2020
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation NIPS 2020
Self-training Avoids Using Spurious Features Under Domain Shift NIPS 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment NIPS 2020
Geometric Dataset Distances via Optimal Transport NIPS 2020
Robust Federated Learning: The Case of Affine Distribution Shifts NIPS 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers NIPS 2020
CrossTransformers: spatially-aware few-shot transfer NIPS 2020
Learning to Adapt to Evolving Domains NIPS 2020