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Representation Learning

4,925 papers

Papers per year

7
51
606
487
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Papers

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction NIPS 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NIPS 2019
Learning nonlinear level sets for dimensionality reduction in function approximation NIPS 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation NIPS 2019
Multivariate Triangular Quantile Maps for Novelty Detection NIPS 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels NIPS 2019
Learning Data Manipulation for Augmentation and Weighting NIPS 2019
Grid Saliency for Context Explanations of Semantic Segmentation NIPS 2019
On The Classification-Distortion-Perception Tradeoff NIPS 2019
Deep Set Prediction Networks NIPS 2019
Learning from brains how to regularize machines NIPS 2019
Information Competing Process for Learning Diversified Representations NIPS 2019
Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations NIPS 2019
Guided Similarity Separation for Image Retrieval NIPS 2019
Learning Hierarchical Priors in VAEs NIPS 2019
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI NIPS 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods NIPS 2019
Continual Unsupervised Representation Learning NIPS 2019
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time NIPS 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion NIPS 2019
Visual Concept-Metaconcept Learning NIPS 2019
A neurally plausible model for online recognition and postdiction in a dynamical environment NIPS 2019
Importance Resampling for Off-policy Prediction NIPS 2019
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NIPS 2019
Learning Disentangled Representations for Recommendation NIPS 2019