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Transfer Learning

2362 directly classified papers

Papers per year

Papers

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks EMNLP 2021
Cross-View Regularization for Domain Adaptive Panoptic Segmentation CVPR 2021
Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021
GAIA: A Transfer Learning System of Object Detection That Fits Your Needs CVPR 2021
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning EMNLP 2021
Reducing Domain Gap by Reducing Style Bias CVPR 2021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic CVPR 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning CVPR 2021
Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021
“Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition MIDL 2021
Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos CVPR 2021
On Robustness and Transferability of Convolutional Neural Networks CVPR 2021
Domain Consensus Clustering for Universal Domain Adaptation CVPR 2021
Strengthen Learning Tolerance for Weakly Supervised Object Localization CVPR 2021
Source-Free Domain Adaptation for Semantic Segmentation CVPR 2021
Pre-Trained Image Processing Transformer CVPR 2021
Ranking Neural Checkpoints CVPR 2021
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search CVPR 2021
Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning EMNLP 2021
Learning Graphs for Knowledge Transfer With Limited Labels CVPR 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021
Probabilistic Model Distillation for Semantic Correspondence CVPR 2021
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus EMNLP 2021
Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability EMNLP 2021