conftrace_
← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Transfer Learning

8,166 papers

Papers per year

3
16
40
720
1260
'05
'10
'15
'20
'25

Papers

Multi-Task Learning using Generalized t Process AISTATS 2010
On Spectral Learning JMLR 2010
Evolving Static Representations for Task Transfer JMLR 2010
Posterior Regularization for Structured Latent Variable Models JMLR 2010
Bilinear classifiers for visual recognition NIPS 2009
Zero-shot Learning with Semantic Output Codes NIPS 2009
Distribution Matching for Transduction NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009
Subject independent EEG-based BCI decoding NIPS 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009
Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008
Domain Adaptation with Multiple Sources NIPS 2008
Phase transitions for high-dimensional joint support recovery NIPS 2008
Transfer Learning by Distribution Matching for Targeted Advertising NIPS 2008
Universal Multi-Task Kernels JMLR 2008
Learning from Multiple Sources JMLR 2008
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008
Learning Bounds for Domain Adaptation NIPS 2007
Multi-task Gaussian Process Prediction NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007