Papers
A Post-Filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement
Yi-Chiao Wu, Hsin-Te Hwang, Syu-Siang Wang et al.
App Download Forecasting: An Evolutionary Hierarchical Competition Approach
Yingzi Wang, Nicholas Jing Yuan, Yu Sun et al.
Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task
Omid Bakhshandeh, James Allen
Applications of the BBN Sage Speech Processing Platform
Ralf Meermeier, Sean Colbath
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language
Maximilian Köper, Sabine Schulte im Walde
Approaches for Neural-Network Language Model Adaptation
Min Ma, Michael Nirschl, Fadi Biadsy et al.
Approaching Human Performance in Behavior Estimation in Couples Therapy Using Deep Sentence Embeddings
Shao-Yen Tseng, Brian Baucom, Panayiotis Georgiou
Approximated and Domain-Adapted LSTM Language Models for First-Pass Decoding in Speech Recognition
Mittul Singh, Youssef Oualil, Dietrich Klakow
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning
Calvin Murdock, Fernando De la Torre
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