Papers
Aggregating Image and Text Quantized Correlated Components
Thi Quynh Nhi Tran, Herve Le Borgne, Michel Crucianu
Aggregation of supports along the Lasso path
Pierre C. Bellec
A Gibbs Sampler for Learning DAGs
Robert J. B. Goudie, Sach Mukherjee
Agnostic Estimation for Misspecified Phase Retrieval Models
Matey Neykov, Zhaoran Wang, Han Liu
Agreement and Disagreement: Comparison of Points of View in the Political Domain
Stefano Menini, Sara Tonelli
A Guide to Learning Arithmetic Circuits
Ilya Volkovich
A Hierarchical Deep Temporal Model for Group Activity Recognition
Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng et al.
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets
Ivan Lillo, Juan Carlos Niebles, Alvaro Soto
A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks
Takenori Yoshimura, Gustav Eje Henter, Oliver Watts et al.
A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video
Guibo Luo, Yuesheng Zhu, Zhaotian Li et al.
A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising
Seonghyeon Nam, Youngbae Hwang, Yasuyuki Matsushita et al.
A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu
Riyaz A. Bhat, Irshad A. Bhat, Naman Jain et al.
A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature
Suchet Chachra, Asma Ben Abacha, Sonya Shooshan et al.
A Hybrid Causal Search Algorithm for Latent Variable Models
Juan Miguel Ogarrio, Peter Spirtes, Joe Ramsey
A Hybrid Deep Learning Architecture for Sentiment Analysis
Md Shad Akhtar, Ayush Kumar, Asif Ekbal et al.
A Hybrid System for Continuous Word-Level Emphasis Modeling Based on HMM State Clustering and Adaptive Training
Quoc Truong Do, Tomoki Toda, Graham Neubig et al.
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets
Javid Ebrahimi, Dejing Dou, Daniel Lowd
A Kernelized Stein Discrepancy for Goodness-of-fit Tests
Qiang Liu, Jason Lee, Michael Jordan
A Kernel Test of Goodness of Fit
Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
A Key Volume Mining Deep Framework for Action Recognition
Wangjiang Zhu, Jie Hu, Gang Sun et al.
A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences
Feng-Long Xie, Frank K. Soong, Haifeng Li
A Kronecker-factored approximate Fisher matrix for convolution layers
Roger Grosse, James Martens
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Nikolaus Mayer, Eddy Ilg, Philip Hausser et al.
A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning
Yan Li, Han Liu, Warren Powell
Algorithms and matching lower bounds for approximately-convex optimization
Andrej Risteski, Yuanzhi Li