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Representation Learning

20,822 papers

Papers per year

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2011
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Papers

Metamers of neural networks reveal divergence from human perceptual systems NIPS 2019
Fast Parallel Algorithms for Statistical Subset Selection Problems NIPS 2019
Towards Practical Alternating Least-Squares for CCA NIPS 2019
Neural Multisensory Scene Inference NIPS 2019
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NIPS 2019
Invertible Convolutional Flow NIPS 2019
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms NIPS 2019
Visualizing the PHATE of Neural Networks NIPS 2019
Quality Aware Generative Adversarial Networks NIPS 2019
Variational Temporal Abstraction NIPS 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations NIPS 2019
Expressive power of tensor-network factorizations for probabilistic modeling NIPS 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? NIPS 2019
Multi-marginal Wasserstein GAN NIPS 2019
Learning to Infer Implicit Surfaces without 3D Supervision NIPS 2019
ETNet: Error Transition Network for Arbitrary Style Transfer NIPS 2019
Learning low-dimensional state embeddings and metastable clusters from time series data NIPS 2019
On the Inductive Bias of Neural Tangent Kernels NIPS 2019
Input Similarity from the Neural Network Perspective NIPS 2019
Efficiently Learning Fourier Sparse Set Functions NIPS 2019
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks NIPS 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks NIPS 2019
Provable Non-linear Inductive Matrix Completion NIPS 2019
Intrinsic dimension of data representations in deep neural networks NIPS 2019
Data-driven Estimation of Sinusoid Frequencies NIPS 2019