Papers
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
To learn image super-resolution, use a GAN to learn how to do image degradation first
Adrian Bulat, Jing Yang, Georgios Tzimiropoulos
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.
Topic Intrusion for Automatic Topic Model Evaluation
Shraey Bhatia, Jey Han Lau, Timothy Baldwin
Topic Memory Networks for Short Text Classification
Jichuan Zeng, Jing Li, Yan Song et al.
Topic or Style? Exploring the Most Useful Features for Authorship Attribution
Yunita Sari, Mark Stevenson, Andreas Vlachos
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology
Sumit Bhatia, Deepak P
Topic-to-Essay Generation with Neural Networks
Xiaocheng Feng, Ming Liu, Jiahao Liu et al.
Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements
Ankush Mandal, He Jiang, Anshumali Shrivastava et al.
Topological mixture estimation
Steve Huntsman
TopRank: A practical algorithm for online stochastic ranking
Tor Lattimore, Branislav Kveton, Shuai Li et al.
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies
Hanbyul Joo, Tomas Simon, Yaser Sheikh
To Trust Or Not To Trust A Classifier
Heinrich Jiang, Been Kim, Melody Guan et al.
To Tune or Not to Tune the Number of Trees in Random Forest
Philipp Probst, Anne-Laure Boulesteix
To Understand Deep Learning We Need to Understand Kernel Learning
Mikhail Belkin, Siyuan Ma, Soumik Mandal
Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models
Vikram Ramanarayanan, Michelle LaMar
Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings
Chenggang Mi, Yating Yang, Lei Wang et al.