conftrace_
← Learning Types
Machine Learning › Learning Types ›

Transfer Learning

4,848 papers

Papers per year

1
9
19
450
877
'05
'10
'15
'20
'25

Papers

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models EMNLP 2019
Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval EMNLP 2019
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations EMNLP 2019
Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification EMNLP 2019
Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively? EMNLP 2019
Transferability and Hardness of Supervised Classification Tasks ICCV 2019
Attention Bridging Network for Knowledge Transfer ICCV 2019
Self-Supervised Representation Learning From Multi-Domain Data ICCV 2019
Rethinking ImageNet Pre-Training ICCV 2019
Creativity Inspired Zero-Shot Learning ICCV 2019
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data ICCV 2019
Learning Across Tasks and Domains ICCV 2019
Learning to Discover Novel Visual Categories via Deep Transfer Clustering ICCV 2019
Habitat: A Platform for Embodied AI Research ICCV 2019
Greedy Layerwise Learning Can Scale To ImageNet ICML 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning ICML 2019
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation ICML 2019
Learning and Data Selection in Big Datasets ICML 2019
Cognitive model priors for predicting human decisions ICML 2019
Transferable Adversarial Attacks for Image and Video Object Detection IJCAI 2019
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning IJCAI 2019
Rapid Performance Gain through Active Model Reuse IJCAI 2019
Learning to Interpret Satellite Images using Wikipedia IJCAI 2019
Sharing Experience in Multitask Reinforcement Learning IJCAI 2019
Representation Learning-Assisted Click-Through Rate Prediction IJCAI 2019