Papers
Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network
Yueqing Wang, Xinwang Liu, Yong Dou et al.
Approximate Newton Methods and Their Local Convergence
Haishan Ye, Luo Luo, Zhihua Zhang
Approximate Steepest Coordinate Descent
Sebastian U. Stich, Anant Raj, Martin Jaggi
Approximate Supermodularity Bounds for Experimental Design
Luiz Chamon, Alejandro Ribeiro
Approximate Value Iteration with Temporally Extended Actions (Extended Abstract)
Timothy A. Mann, Shie Mannor, Doina Precup
Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion
Sicheng Zhao, Guiguang Ding, Yue Gao et al.
Approximating Phonotactic Input in Children’s Linguistic Environments from Orthographic Transcripts
Sofia Strömbergsson, Jens Edlund, Jana Götze et al.
Approximation Algorithms for $\ell_0$-Low Rank Approximation
Karl Bringmann, Pavel Kolev, David Woodruff
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
Benjamin Moseley, Joshua Wang
Approximation Vector Machines for Large-scale Online Learning
Trung Le, Tu Dinh Nguyen, Vu Nguyen et al.
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light
Mahdi Abbaspour Tehrani, Thabo Beeler, Anselm Grundhofer
A Practical Perspective on Latent Structured Prediction for Coreference Resolution
Iryna Haponchyk, Alessandro Moschitti
A Preliminary Phonetic Investigation of Alphabetic Words in Mandarin Chinese
Hongwei Ding, Yuanyuan Zhang, Hongchao Liu et al.
A Preliminary Study of Prosodic Disambiguation by Chinese EFL Learners
Yuanyuan Zhang, Hongwei Ding
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
Maxime Peyrard, Judith Eckle-Kohler
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
Qinliang Su, xuejun Liao, Lawrence Carin
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data
Qiaolin Xia, Lei Sha, Baobao Chang et al.
APUNet: Revitalizing GPU as Packet Processing Accelerator
Younghwan Go, Muhammad Asim Jamshed, YoungGyoun Moon et al.
A Quantitative Measure of the Impact of Coarticulation on Phone Discriminability
Thomas Schatz, Rory Turnbull, Francis Bach et al.
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors
Zeke Xie, Issei Sato
A Question Answering Approach for Emotion Cause Extraction
Lin Gui, Jiannan Hu, Yulan He et al.
Arc-swift: A Novel Transition System for Dependency Parsing
Peng Qi, Christopher D. Manning
Areal and Phylogenetic Features for Multilingual Speech Synthesis
Alexander Gutkin, Richard Sproat