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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

Symmetry-Based Disentangled Representation Learning requires Interaction with Environments NIPS 2019
Evaluating Protein Transfer Learning with TAPE NIPS 2019
Deep Supervised Summarization: Algorithm and Application to Learning Instructions NIPS 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NIPS 2019
On Fenchel Mini-Max Learning NIPS 2019
Stability of Graph Scattering Transforms NIPS 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning NIPS 2019
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series NIPS 2019
A New Distribution on the Simplex with Auto-Encoding Applications NIPS 2019
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations NIPS 2019
Invariance and identifiability issues for word embeddings NIPS 2019
General E(2)-Equivariant Steerable CNNs NIPS 2019
Learning nonlinear level sets for dimensionality reduction in function approximation NIPS 2019
A Model to Search for Synthesizable Molecules NIPS 2019
Can Unconditional Language Models Recover Arbitrary Sentences? NIPS 2019
Understanding Sparse JL for Feature Hashing NIPS 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation NIPS 2019
Cold Case: The Lost MNIST Digits NIPS 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs NIPS 2019
Unsupervised Scalable Representation Learning for Multivariate Time Series NIPS 2019
Disentangling Influence: Using disentangled representations to audit model predictions NIPS 2019
Deep Structured Prediction for Facial Landmark Detection NIPS 2019
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay NIPS 2019
Learning about an exponential amount of conditional distributions NIPS 2019