Papers
A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion
Leonardo Badino, Luca Franceschi, Raman Arora et al.
Aspect Extraction from Product Reviews Using Category Hierarchy Information
Yinfei Yang, Cen Chen, Minghui Qiu et al.
A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee
A Spectro-Temporal Demodulation Technique for Pitch Estimation
Jitendra Kumar Dhiman, Nagaraj Adiga, Chandra Sekhar Seelamantula
ASR Error Management for Improving Spoken Language Understanding
Edwin Simonnet, Sahar Ghannay, Nathalie Camelin et al.
Assessing Convincingness of Arguments in Online Debates with Limited Number of Features
Lisa Andreevna Chalaguine, Claudia Schulz
Assessing Objective Recommendation Quality through Political Forecasting
H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop et al.
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
Nicholas Ruiz, Mattia Antonino Di Gangi, Nicola Bertoldi et al.
Assessing the Verifiability of Attributions in News Text
Edward Newell, Ariane Schang, Drew Margolin et al.
Associative Domain Adaptation
Philip Haeusser, Thomas Frerix, Alexander Mordvintsev et al.
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Alejandro Newell, Zhiao Huang, Jia Deng
A Stagewise Refinement Model for Detecting Salient Objects in Images
Tiantian Wang, Ali Borji, Lihe Zhang et al.
A Statistical Framework for Product Description Generation
Jinpeng Wang, Yutai Hou, Jing Liu et al.
A Stepwise Analysis of Aggregated Crowdsourced Labels Describing Multimodal Emotional Behaviors
Alec Burmania, Carlos Busso
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization
Songtao Lu, Mingyi Hong, Zhengdao Wang
A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments
Omer Levy, Anders Søgaard, Yoav Goldberg
A Strongly Quasiconvex PAC-Bayesian Bound
Niklas Thiemann, Christian Igel, Olivier Wintenberger et al.
A Structural Representation Learning for Multi-relational Networks
Lin Liu, Xin Li, William K. Cheung et al.
A Structured Learning Approach to Temporal Relation Extraction
Qiang Ning, Zhili Feng, Dan Roth
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
Paul Swoboda, Carsten Rother, Hassan Abu Alhaija et al.
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output
Xing Niu, Marianna Martindale, Marine Carpuat
A Study of Unrestricted Abstract Argumentation Frameworks
Ringo Baumann, Christof Spanring
A Study on Replay Attack and Anti-Spoofing for Automatic Speaker Verification
Lantian Li, Yixiang Chen, Dong Wang et al.
A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification
Chih-Yang Hsia, Ya Zhu, Chih-Jen Lin