Papers
Discovering the Physical Parts of an Articulated Object Class From Multiple Videos
Luca Del Pero, Susanna Ricco, Rahul Sukthankar et al.
Discrete Deep Feature Extraction: A Theory and New Architectures
Thomas Wiatowski, Michael Tschannen, Aleksandar Stanic et al.
Discrete Distribution Estimation under Local Privacy
Peter Kairouz, Keith Bonawitz, Daniel Ramage
Discriminative Embeddings of Latent Variable Models for Structured Data
Hanjun Dai, Bo Dai, Le Song
Discriminative Gaifman Models
Mathias Niepert
Discriminative Hierarchical Rank Pooling for Activity Recognition
Basura Fernando, Peter Anderson, Marcus Hutter et al.
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation
Dipan K. Pal, Felix Juefei-Xu, Marios Savvides
Discriminative Layered Nonnegative Matrix Factorization for Speech Separation
Chung-Chien Hsu, Tai-Shih Chi, Jen-Tzung Chien
Discriminatively Embedded K-Means for Multi-View Clustering
Jinglin Xu, Junwei Han, Feiping Nie
Discriminatively-guided Deliberative Perception for Pose Estimation of Multiple 3D Object Instances
Venkatraman Narayanan, Maxim Likhachev
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition
Hongyuan Zhu, Jean-Baptiste Weibel, Shijian Lu
Discriminative Structure Learning of Arithmetic Circuits
Amirmohammad Rooshenas, Daniel Lowd
Disease Trajectory Maps
Peter Schulam, Raman Arora
Disentangling factors of variation in deep representation using adversarial training
Michael F Mathieu, Junbo Jake Zhao, Junbo Zhao et al.
Disentrainment may be a Positive Thing: A Novel Measure of Unsigned Acoustic-Prosodic Synchrony, and its Relation to Speaker Engagement
Juan M. Pérez, Ramiro H. Gálvez, Agustín Gravano
Disfluency Detection Using a Bidirectional LSTM
Vicky Zayats, Mari Ostendorf, Hannaneh Hajishirzi
Disfluent but effective? A quantitative study of disfluencies and conversational moves in team discourse
Felix Gervits, Kathleen Eberhard, Matthias Scheutz
Distance Metric Learning for Aspect Phrase Grouping
Shufeng Xiong, Yue Zhang, Donghong Ji et al.
Distilling Knowledge from Ensembles of Neural Networks for Speech Recognition
Yevgen Chebotar, Austin Waters
Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks
Joris M. Mooij, Jonas Peters, Dominik Janzing et al.
Distributed Clustering of Linear Bandits in Peer to Peer Networks
Nathan Korda, Balazs Szorenyi, Shuai Li
Distributed Coordinate Descent Method for Learning with Big Data
Peter Richtárik, Martin Takáč
Distributed Flexible Nonlinear Tensor Factorization
Shandian Zhe, Kai Zhang, Pengyuan Wang et al.
Distributed Multi-Task Learning
Jialei Wang, Mladen Kolar, Nathan Srerbo
Distributed Representations for Building Profiles of Users and Items from Text Reviews
Wenliang Chen, Zhenjie Zhang, Zhenghua Li et al.