representation learning

From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning COLING 2016 GAKE: Graph Aware Knowledge Embedding COLING 2016 Generating Videos with Scene Dynamics NeurIPS 2016 Improved Word Embeddings with Implicit Structure Information COLING 2016 Individual Identity in Songbirds: Signal Representations and Metric Learning for Locating the Information in Complex Corvid Calls Interspeech 2016 InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets NeurIPS 2016 InterActive: Inter-Layer Activeness Propagation CVPR 2016 Inverting Visual Representations With Convolutional Networks CVPR 2016 Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification CVPR 2016 Joint Unsupervised Learning of Deep Representations and Image Clusters CVPR 2016 Knowledge-Driven Event Embedding for Stock Prediction COLING 2016 Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning JMLR 2016 Latent Embeddings for Zero-Shot Classification CVPR 2016 Learning Aligned Cross-Modal Representations From Weakly Aligned Data CVPR 2016 Learning Deep Parsimonious Representations NeurIPS 2016 Learning Deep Representation for Imbalanced Classification CVPR 2016 Learning End-to-end Video Classification with Rank-Pooling ICML 2016 Learning Representations for Counterfactual Inference ICML 2016 Learning Robust Features using Deep Learning for Automatic Seizure Detection MLHC 2016 Learning Temporal Regularity in Video Sequences CVPR 2016 Learning to Distill: The Essence Vector Modeling Framework COLING 2016 Learning to Generate with Memory ICML 2016 Learning Transferrable Representations for Unsupervised Domain Adaptation NeurIPS 2016 Lifelong Learning with Weighted Majority Votes NeurIPS 2016 Matching Networks for One Shot Learning NeurIPS 2016