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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

Probabilistic Logic Neural Networks for Reasoning NIPS 2019
Learning Sparse Distributions using Iterative Hard Thresholding NIPS 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NIPS 2019
Learning-Based Low-Rank Approximations NIPS 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning NIPS 2019
Zero-shot Learning via Simultaneous Generating and Learning NIPS 2019
On the Fairness of Disentangled Representations NIPS 2019
Graph Normalizing Flows NIPS 2019
Chirality Nets for Human Pose Regression NIPS 2019
Assessing Social and Intersectional Biases in Contextualized Word Representations NIPS 2019
Augmented Neural ODEs NIPS 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model NIPS 2019
Shaping Belief States with Generative Environment Models for RL NIPS 2019
Topology-Preserving Deep Image Segmentation NIPS 2019
Stacked Capsule Autoencoders NIPS 2019
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer NIPS 2019
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules NIPS 2019
The spiked matrix model with generative priors NIPS 2019
A coupled autoencoder approach for multi-modal analysis of cell types NIPS 2019
Practical and Consistent Estimation of f-Divergences NIPS 2019
Anti-efficient encoding in emergent communication NIPS 2019
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation NIPS 2019
Stand-Alone Self-Attention in Vision Models NIPS 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models NIPS 2019
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices NIPS 2019