Papers
Tighter Variational Bounds are Not Necessarily Better
Tom Rainforth, Adam Kosiorek, Tuan Anh Le et al.
Tight Regret Bounds for Bayesian Optimization in One Dimension
Jonathan Scarlett
Tilde’s Machine Translation Systems for WMT 2018
Mārcis Pinnis, Matīss Rikters, Rihards Krišlauks
Tilde’s Parallel Corpus Filtering Methods for WMT 2018
Mārcis Pinnis
Time Aggregation Operators for Multi-label Audio Event Detection
Pankaj Joshi, Digvijaysingh Gautam, Ganesh Ramakrishnan et al.
Time-evolving Text Classification with Deep Neural Networks
Yu He, Jianxin Li, Yangqiu Song et al.
Time Expressions in Mental Health Records for Symptom Onset Extraction
Natalia Viani, Lucia Yin, Joyce Kam et al.
Time Limits in Reinforcement Learning
Fabio Pardo, Arash Tavakoli, Vitaly Levdik et al.
Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech
Manu Airaksinen, Lauri Juvela, Okko Räsänen et al.
Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo
Kenichiro Tanaka, Nobuhiro Ikeya, Tsuyoshi Takatani et al.
Time Series Chains: A Novel Tool for Time Series Data Mining
Yan Zhu, Makoto Imamura, Daniel Nikovski et al.
Time-Space Tradeoffs for Learning Finite Functions from Random Evaluations, with Applications to Polynomials
Paul Beame, Shayan Oveis Gharan, Xin Yang
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge
Damien Teney, Peter Anderson, Xiaodong He et al.
T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine
Ziqing Liu, Enwei Peng, Shixing Yan et al.
TMU System for SLAM-2018
Masahiro Kaneko, Tomoyuki Kajiwara, Mamoru Komachi
To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness
Amulya Gupta, Zhu Zhang
Toddler-Inspired Visual Object Learning
Sven Bambach, David Crandall, Linda Smith et al.
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data
David Hallac, Sagar Vare, Stephen Boyd et al.
Token-level and sequence-level loss smoothing for RNN language models
Maha Elbayad, Laurent Besacier, Jakob Verbeek
TOM-Net: Learning Transparent Object Matting From a Single Image
Guanying Chen, Kai Han, Kwan-Yee K. Wong
Tone Recognition Using Lifters and CTC
Loren Lugosch, Vikrant Singh Tomar
Tongue Segmentation with Geometrically Constrained Snake Model
Zhihua Su, Jianguo Wei, Qiang Fang et al.
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gū, Hassan S. Shavarani, Anoop Sarkar
Topic and Keyword Identification for Low-resourced Speech Using Cross-Language Transfer Learning
Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen
Topic Compositional Neural Language Model
Wenlin Wang, Zhe Gan, Wenqi Wang et al.