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Representation Learning

4516 directly classified papers

Papers per year

Papers

Generalized Representation Learning Methods for Deep Reinforcement Learning IJCAI 2020
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract) IJCAI 2020
A Survey on Representation Learning for User Modeling IJCAI 2020
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification IJCAI 2020
Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax IJCAI 2020
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation IJCAI 2020
G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation IJCAI 2020
New Interpretations of Normalization Methods in Deep Learning AAAI 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020
Deep Message Passing on Sets AAAI 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution AAAI 2020
Actionable Ethics through Neural Learning AAAI 2020
Temporal Network Embedding with High-Order Nonlinear Information AAAI 2020
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020
Deep Embedded Non-Redundant Clustering AAAI 2020
Multi-Zone Unit for Recurrent Neural Networks AAAI 2020
Structured Sparsification of Gated Recurrent Neural Networks AAAI 2020
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020
Energy-Based Processes for Exchangeable Data ICML 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective ICML 2020
Neural Kernels Without Tangents ICML 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning ICML 2020
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees ICML 2020
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules ICML 2020