Representation Learning

Adapting Kernel Representations Online Using Submodular Maximization ICML 2017 Adaptive Class Preserving Representation for Image Classification CVPR 2017 Adaptive Hypergraph Learning for Unsupervised Feature Selection IJCAI 2017 Adaptive Randomized Dimension Reduction on Massive Data JMLR 2017 Adaptive Semantic Compositionality for Sentence Modelling IJCAI 2017 A Data-Driven Approach for Perceptually Validated Acoustic Features for Children’s Sibilant Fricative Productions Interspeech 2017 A Deep Network with Visual Text Composition Behavior ACL 2017 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NeurIPS 2017 A Distribution Free Formulation of the Total Variability Model Interspeech 2017 Adversarial Auto-Encoders for Speech Based Emotion Recognition Interspeech 2017 Adversarial Network Bottleneck Features for Noise Robust Speaker Verification Interspeech 2017 Adversarial Symmetric Variational Autoencoder NeurIPS 2017 A Functional Dynamic Boltzmann Machine IJCAI 2017 AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles IJCAI 2017 A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning CVPR 2017 A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks EMNLP 2017 A Laplacian Framework for Option Discovery in Reinforcement Learning ICML 2017 Algorithms for ℓ_p Low-Rank Approximation ICML 2017 A Local Detection Approach for Named Entity Recognition and Mention Detection ACL 2017 Alternating minimization for dictionary learning with random initialization NeurIPS 2017 A Maximum Matching Algorithm for Basis Selection in Spectral Learning AISTATS 2017 A Mention-Ranking Model for Abstract Anaphora Resolution EMNLP 2017 A Meta-Learning Perspective on Cold-Start Recommendations for Items NeurIPS 2017 A Multidimensional Lexicon for Interpersonal Stancetaking ACL 2017 A Multi-task Approach to Predict Likability of Books EACL 2017