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Representation Learning

4516 directly classified papers

Papers per year

Papers

SketchNet: Sketch Classification With Web Images CVPR 2016
Hierarchical Recurrent Neural Encoder for Video Representation With Application to Captioning CVPR 2016
Iterative Instance Segmentation CVPR 2016
In Defense of Sparse Tracking: Circulant Sparse Tracker CVPR 2016
Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016
Deep Metric Learning via Lifted Structured Feature Embedding CVPR 2016
We Are Humor Beings: Understanding and Predicting Visual Humor CVPR 2016
Structured Feature Learning for Pose Estimation CVPR 2016
TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016
Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction CVPR 2016
Deep Contrast Learning for Salient Object Detection CVPR 2016
Deep Saliency With Encoded Low Level Distance Map and High Level Features CVPR 2016
Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks INTERSPEECH 2016
Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016
On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016
Streaming Kernel Principal Component Analysis AISTATS 2016
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016
Bank of Weight Filters for Deep CNNs ACML 2016
GAKE: Graph Aware Knowledge Embedding COLING 2016
CharNER: Character-Level Named Entity Recognition COLING 2016
A Distribution-based Model to Learn Bilingual Word Embeddings COLING 2016
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling COLING 2016
Knowledge-Driven Event Embedding for Stock Prediction COLING 2016
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016
Learning Granger Causality for Hawkes Processes ICML 2016