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Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
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Papers

Deep Topic Models for Multi-label Learning AISTATS 2019
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation AISTATS 2019
A maximum-mean-discrepancy goodness-of-fit test for censored data AISTATS 2019
Deep Switch Networks for Generating Discrete Data and Language AISTATS 2019
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019
The LORACs Prior for VAEs: Letting the Trees Speak for the Data AISTATS 2019
Recovery Guarantees For Quadratic Tensors With Sparse Observations AISTATS 2019
Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019
Representation Learning on Graphs: A Reinforcement Learning Application AISTATS 2019
Structured Neural Topic Models for Reviews AISTATS 2019
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019
Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019
Generalize Across Tasks: Efficient Algorithms for Linear Representation Learning ALT 2019
Approximate Guarantees for Dictionary Learning COLT 2019
Learning rates for Gaussian mixtures under group action COLT 2019
Reconstructing Trees from Traces COLT 2019
Learning Ising Models with Independent Failures COLT 2019
A Robust Spectral Algorithm for Overcomplete Tensor Decomposition COLT 2019
Privately Learning High-Dimensional Distributions COLT 2019
Bandit Principal Component Analysis COLT 2019
How do infinite width bounded norm networks look in function space? COLT 2019
Learning Conceptual Spaces with Disentangled Facets CONLL 2019
Generating Timelines by Modeling Semantic Change CONLL 2019
How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? CONLL 2019
SimVecs: Similarity-Based Vectors for Utterance Representation in Conversational AI Systems CONLL 2019