conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
'00
'05
'10
'15
'20
'25

Papers

Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations ICML 2018
PixelSNAIL: An Improved Autoregressive Generative Model ICML 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018
Learning Steady-States of Iterative Algorithms over Graphs ICML 2018
Adversarial Attack on Graph Structured Data ICML 2018
Stochastic Video Generation with a Learned Prior ICML 2018
Variational Network Inference: Strong and Stable with Concrete Support ICML 2018
The Generalization Error of Dictionary Learning with Moreau Envelopes ICML 2018
Inductive Two-Layer Modeling with Parametric Bregman Transfer ICML 2018
Temporal Poisson Square Root Graphical Models ICML 2018
Learning Policy Representations in Multiagent Systems ICML 2018
Latent Space Policies for Hierarchical Reinforcement Learning ICML 2018
Deep Models of Interactions Across Sets ICML 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling ICML 2018
Neural Autoregressive Flows ICML 2018
Deep Density Destructors ICML 2018
Anonymous Walk Embeddings ICML 2018
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach ICML 2018
A Unified Framework for Structured Low-rank Matrix Learning ICML 2018
Learning Diffusion using Hyperparameters ICML 2018
Semi-Supervised Learning via Compact Latent Space Clustering ICML 2018
Neural Relational Inference for Interacting Systems ICML 2018
Canonical Tensor Decomposition for Knowledge Base Completion ICML 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018
Deep Asymmetric Multi-task Feature Learning ICML 2018