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Representation Learning

20,822 papers

Papers per year

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2011
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Papers

Relation-Aware Graph Attention Network for Visual Question Answering ICCV 2019
Occlusion-Shared and Feature-Separated Network for Occlusion Relationship Reasoning ICCV 2019
Mixture-Kernel Graph Attention Network for Situation Recognition ICCV 2019
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions ICML 2019
Projections for Approximate Policy Iteration Algorithms ICML 2019
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data ICML 2019
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data ICML 2019
Concrete Autoencoders: Differentiable Feature Selection and Reconstruction ICML 2019
Invertible Residual Networks ICML 2019
Active Manifolds: A non-linear analogue to Active Subspaces ICML 2019
Understanding the Origins of Bias in Word Embeddings ICML 2019
Self-similar Epochs: Value in arrangement ICML 2019
Learning Action Representations for Reinforcement Learning ICML 2019
Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization ICML 2019
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation ICML 2019
Variational Inference for sparse network reconstruction from count data ICML 2019
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights ICML 2019
Neural Joint Source-Channel Coding ICML 2019
MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization ICML 2019
Shape Constraints for Set Functions ICML 2019
Flexibly Fair Representation Learning by Disentanglement ICML 2019
Minimal Achievable Sufficient Statistic Learning ICML 2019
Open Vocabulary Learning on Source Code with a Graph-Structured Cache ICML 2019
Stochastic Deep Networks ICML 2019