Papers
Complexity in Prosody: A Nonlinear Dynamical Systems Approach for Dyadic Conversations; Behavior and Outcomes in Couples Therapy
Md. Nasir, Brian Baucom, Shrikanth S. Narayanan et al.
Complexity of Efficient and Envy-Free Resource Allocation: Few Agents, Resources, or Utility Levels
Bernhard Bliem, Robert Bredereck, Rolf Niedermeier
Complexity of Manipulation with Partial Information in Voting
Palash Dey, Neeldhara Misra, Y. Narahari
Complexity of Representation and Inference in Compositional Models with Part Sharing
Alan Yuille, Roozbeh Mottaghi
Complexity Theoretic Limitations on Learning DNF’s
Amit Daniely, Shai Shalev-Shwartz
Complex Linear Projection (CLP): A Discriminative Approach to Joint Feature Extraction and Acoustic Modeling
Ehsan Variani, Tara N. Sainath, Izhak Shafran et al.
Composing Distributed Representations of Relational Patterns
Sho Takase, Naoaki Okazaki, Kentaro Inui
Composing graphical models with neural networks for structured representations and fast inference
Matthew J Johnson, David K. Duvenaud, Alex Wiltschko et al.
Composite Multiclass Losses
Robert C. Williamson, Elodie Vernet, Mark D. Reid
Compositional Distributional Models of Meaning
Mehrnoosh Sadrzadeh, Dimitri Kartsaklis
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text
Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih et al.
Compositional Neural Network Language Models for Agglutinative Languages
Ebru Arisoy, Murat Saraclar
Compositional Sequence Labeling Models for Error Detection in Learner Writing
Marek Rei, Helen Yannakoudakis
Composition-Preserving Deep Photo Aesthetics Assessment
Long Mai, Hailin Jin, Feng Liu
Compressed Gaussian Process for Manifold Regression
Rajarshi Guhaniyogi, David B. Dunson
Compressing Bayes Net CPTs with Persistent Leaky Causes
Yang Xiang, Qian Jiang
Compressing Neural Language Models by Sparse Word Representations
Yunchuan Chen, Lili Mou, Yan Xu et al.
Compression of Neural Machine Translation Models via Pruning
Abigail See, Minh-Thang Luong, Christopher D. Manning
Compressive Spectral Clustering
Nicolas Tremblay, Gilles Puy, Remi Gribonval et al.
Computational and Statistical Tradeoffs in Learning to Rank
Ashish Khetan, Sewoong Oh
Computational Approaches to Linguistic Code Switching
Mona Diab, Pascale Fung, Julia Hirschberg et al.
Computational Imaging for VLBI Image Reconstruction
Katherine L. Bouman, Michael D. Johnson, Daniel Zoran et al.
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
Andreas Svensson, Arno Solin, Simo Särkkä et al.
Computationally Efficient Nyström Approximation using Fast Transforms
Si Si, Cho-Jui Hsieh, Inderjit Dhillon