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Representation Learning

4516 directly classified papers

Papers per year

Papers

Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs NIPS 2017
Neural Expectation Maximization NIPS 2017
Structured Generative Adversarial Networks NIPS 2017
Gated Recurrent Convolution Neural Network for OCR NIPS 2017
End-to-end Differentiable Proving NIPS 2017
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems NIPS 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NIPS 2017
Learning a Multi-View Stereo Machine NIPS 2017
Causal Effect Inference with Deep Latent-Variable Models NIPS 2017
Deep Learning with Topological Signatures NIPS 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NIPS 2017
Hiding Images in Plain Sight: Deep Steganography NIPS 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NIPS 2017
Context Selection for Embedding Models NIPS 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules NIPS 2017
Inductive Representation Learning on Large Graphs NIPS 2017
Poincaré Embeddings for Learning Hierarchical Representations NIPS 2017
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts NIPS 2017
Invariance and Stability of Deep Convolutional Representations NIPS 2017
Dilated Recurrent Neural Networks NIPS 2017
Unsupervised Learning of Disentangled Representations from Video NIPS 2017
Style Transfer from Non-Parallel Text by Cross-Alignment NIPS 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NIPS 2017
Dynamic Routing Between Capsules NIPS 2017
Exploring Generalization in Deep Learning NIPS 2017