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Transfer Learning

8,078 papers

Papers per year

Papers

Causal and interventional Markov boundaries UAI 2021
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts UAI 2021
Doubly non-central beta matrix factorization for DNA methylation data UAI 2021
SDM-Net: A simple and effective model for generalized zero-shot learning UAI 2021
Self-Supervised Learning for Domain Adaptation on Point Clouds WACV 2021
Zero-Shot Recognition via Optimal Transport WACV 2021
SoFA: Source-Data-Free Feature Alignment for Unsupervised Domain Adaptation WACV 2021
Analyzing Deep Neural Network's Transferability via Frechet Distance WACV 2021
Effectiveness of Arbitrary Transfer Sets for Data-Free Knowledge Distillation WACV 2021
Pretraining Boosts Out-of-Domain Robustness for Pose Estimation WACV 2021
Neural Contrast Enhancement of CT Image WACV 2021
Domain-Adaptive Few-Shot Learning WACV 2021
From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors WACV 2021
Unsupervised Meta-Domain Adaptation for Fashion Retrieval WACV 2021
Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs WACV 2021
StacMR: Scene-Text Aware Cross-Modal Retrieval WACV 2021
Subject Guided Eye Image Synthesis With Application to Gaze Redirection WACV 2021
Cross-Domain Latent Modulation for Variational Transfer Learning WACV 2021
Representation Learning From Videos In-the-Wild: An Object-Centric Approach WACV 2021
ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer WACV 2021
Handwritten Chinese Font Generation With Collaborative Stroke Refinement WACV 2021
Representation Learning Through Latent Canonicalizations WACV 2021
RODNet: Radar Object Detection Using Cross-Modal Supervision WACV 2021
What is being transferred in transfer learning? NIPS 2020
Adapting Neural Architectures Between Domains NIPS 2020