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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

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective ICML 2020
Deep Gaussian Markov Random Fields ICML 2020
A Generative Model for Molecular Distance Geometry ICML 2020
When Explanations Lie: Why Many Modified BP Attributions Fail ICML 2020
Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020
Hypernetwork approach to generating point clouds ICML 2020
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information ICML 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity ICML 2020
DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020
Sparse Sinkhorn Attention ICML 2020
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension ICML 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics ICML 2020
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances ICML 2020
Undirected Graphical Models as Approximate Posteriors ICML 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks ICML 2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space ICML 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks ICML 2020
Self-Modulating Nonparametric Event-Tensor Factorization ICML 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere ICML 2020
Haar Graph Pooling ICML 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020
Learning Representations that Support Extrapolation ICML 2020
Generative Flows with Matrix Exponential ICML 2020
Learning Autoencoders with Relational Regularization ICML 2020