representation learning

Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests MLHC 2016 Multi-View Deep Network for Cross-View Classification CVPR 2016 Nonparametric Canonical Correlation Analysis ICML 2016 Pair-Wise Distance Metric Learning of Neural Network Model for Spoken Language Identification Interspeech 2016 Phonetic Context Embeddings for DNN-HMM Phone Recognition Interspeech 2016 Representation and Learning of Temporal Relations COLING 2016 Representation Learning for Speech Emotion Recognition Interspeech 2016 Residual Networks Behave Like Ensembles of Relatively Shallow Networks NeurIPS 2016 Siamese Convolutional Networks for Cognate Identification COLING 2016 Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016 SoundNet: Learning Sound Representations from Unlabeled Video NeurIPS 2016 Stochastic Optimization for Multiview Representation Learning using Partial Least Squares ICML 2016 Syntactic realization with data-driven neural tree grammars COLING 2016 Tagger: Deep Unsupervised Perceptual Grouping NeurIPS 2016 Teaming Up: Making the Most of Diverse Representations for a Novel Personalized Speech Retrieval Application Interspeech 2016 Tensor Switching Networks NeurIPS 2016 The Information Sieve ICML 2016 The Multiverse Loss for Robust Transfer Learning CVPR 2016 Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation CVPR 2016 Towards Conceptual Compression NeurIPS 2016 Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations CVPR 2016 Triphone State-Tying via Deep Canonical Correlation Analysis Interspeech 2016 Unsupervised Deep Embedding for Clustering Analysis ICML 2016 Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA NeurIPS 2016 Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data CVPR 2016