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Representation Learning

20,822 papers

Papers per year

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309
2011
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Papers

Constant Curvature Graph Convolutional Networks ICML 2020
Learning De-biased Representations with Biased Representations ICML 2020
Learning the piece-wise constant graph structure of a varying Ising model ICML 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density ICML 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders ICML 2020
Deep Coordination Graphs ICML 2020
Preference Modeling with Context-Dependent Salient Features ICML 2020
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation ICML 2020
Structured Prediction with Partial Labelling through the Infimum Loss ICML 2020
Learning to Simulate and Design for Structural Engineering ICML 2020
Mapping natural-language problems to formal-language solutions using structured neural representations ICML 2020
Convolutional Kernel Networks for Graph-Structured Data ICML 2020
Learning Flat Latent Manifolds with VAEs ICML 2020
A Simple Framework for Contrastive Learning of Visual Representations ICML 2020
Angular Visual Hardness ICML 2020
Generative Pretraining From Pixels ICML 2020
Representation Learning via Adversarially-Contrastive Optimal Transport ICML 2020
Encoding Musical Style with Transformer Autoencoders ICML 2020
Distance Metric Learning with Joint Representation Diversification ICML 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations ICML 2020
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows ICML 2020
Learnable Group Transform For Time-Series ICML 2020
Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020
Scalable Deep Generative Modeling for Sparse Graphs ICML 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse ICML 2020