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Representation Learning

2843 directly classified papers

Papers per year

Papers

Mathematical Information Retrieval based on Type Embeddings and Query Expansion COLING 2016
Robust Text Classification for Sparsely Labelled Data Using Multi-level Embeddings COLING 2016
Hierarchical Memory Networks for Answer Selection on Unknown Words COLING 2016
Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments COLING 2016
Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016
The Information Sieve ICML 2016
Kronecker Determinantal Point Processes NIPS 2016
Synthesized Classifiers for Zero-Shot Learning CVPR 2016
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations CVPR 2016
A Robust Multilinear Model Learning Framework for 3D Faces CVPR 2016
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks CVPR 2016
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection CVPR 2016
Metric Learning as Convex Combinations of Local Models With Generalization Guarantees CVPR 2016
Siamese Instance Search for Tracking CVPR 2016
Learning Temporal Regularity in Video Sequences CVPR 2016
Learning to Localize Little Landmarks CVPR 2016
Strategic Attentive Writer for Learning Macro-Actions NIPS 2016
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories NIPS 2016
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices NIPS 2016
Linear Feature Encoding for Reinforcement Learning NIPS 2016
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NIPS 2015
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments NIPS 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015
Rectified Factor Networks NIPS 2015
Supervised Learning for Dynamical System Learning NIPS 2015