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Representation Learning

4,925 papers

Papers per year

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Papers

A Relevance Score Estimation for Spoken Term Detection Based on RNN-Generated Pronunciation Embeddings INTERSPEECH 2017
DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output SEMEVAL 2017
QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings SEMEVAL 2017
ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity SEMEVAL 2017
SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector SEMEVAL 2017
Tagger: Deep Unsupervised Perceptual Grouping NIPS 2016
Exponential Family Embeddings NIPS 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NIPS 2016
Maximal Sparsity with Deep Networks? NIPS 2016
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections NIPS 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks NIPS 2016
Diffusion-Convolutional Neural Networks NIPS 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes NIPS 2016
Domain Separation Networks NIPS 2016
Towards Conceptual Compression NIPS 2016
Matching Networks for One Shot Learning NIPS 2016
Learning Deep Parsimonious Representations NIPS 2016
Relevant sparse codes with variational information bottleneck NIPS 2016
Learning Transferrable Representations for Unsupervised Domain Adaptation NIPS 2016
Optimizing affinity-based binary hashing using auxiliary coordinates NIPS 2016
Bank of Weight Filters for Deep CNNs ACML 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
GAKE: Graph Aware Knowledge Embedding COLING 2016