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Transfer Learning

8,078 papers

Papers per year

Papers

Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020
Transfer Reinforcement Learning Using Output-Gated Working Memory AAAI 2020
MIPaaL: Mixed Integer Program as a Layer AAAI 2020
Multi-Source Domain Adaptation for Visual Sentiment Classification AAAI 2020
Fine-Grained Machine Teaching with Attention Modeling AAAI 2020
Commonsense Knowledge Base Completion with Structural and Semantic Context AAAI 2020
Image-Adaptive GAN Based Reconstruction AAAI 2020
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier AAAI 2020
Detecting Semantic Anomalies AAAI 2020
Induction of Subgoal Automata for Reinforcement Learning AAAI 2020
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020
Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data AAAI 2020
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data AAAI 2020
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment AAAI 2020
Memory Augmented Graph Neural Networks for Sequential Recommendation AAAI 2020
On Adaptivity in Information-Constrained Online Learning AAAI 2020
Brain-Mediated Transfer Learning of Convolutional Neural Networks AAAI 2020
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials AAAI 2020
Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020
Transfer Value Iteration Networks AAAI 2020
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning AAAI 2020
Learning Efficient Representations for Fake Speech Detection AAAI 2020
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection AAAI 2020
Meta-Amortized Variational Inference and Learning AAAI 2020