Papers
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
Yuanliang Meng, Anna Rumshisky, Alexey Romanov
Temporal information extraction from clinical text
Julien Tourille, Olivier Ferret, Xavier Tannier et al.
Temporalising Separation Logic for Planning with Search Control Knowledge
Xu Lu, Cong Tian, Zhenhua Duan
Temporal Orientation of Tweets for Predicting Income of Users
Mohammed Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur et al.
Temporal Planning for Compilation of Quantum Approximate Optimization Circuits
Davide Venturelli, Minh Do, Eleanor Rieffel et al.
Temporal Planning with Clock-Based SMT Encodings
Jussi Rintanen
Temporal Residual Networks for Dynamic Scene Recognition
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Temporal Sequences of Qualitative Information: Reasoning about the Topology of Constant-Size Moving Regions
Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau
Tensor Balancing on Statistical Manifold
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control
Chenyang Zhao, Timothy M. Hospedales, Freek Stulp et al.
Tensor Belief Propagation
Andrew Wrigley, Wee Sun Lee, Nan Ye
Tensor Biclustering
Soheil Feizi, Hamid Javadi, David Tse
Tensor Completion with Side Information: A Riemannian Manifold Approach
Tengfei Zhou, Hui Qian, Zebang Shen et al.
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)
Miaoyan Wang, Yun Song
Tensor Decomposition via Simultaneous Power Iteration
Po-An Wang, Chi-Jen Lu
Tensor Decomposition with Missing Indices
Yuto Yamaguchi, Kohei Hayashi
Tensor Decomposition with Smoothness
Masaaki Imaizumi, Kohei Hayashi
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
Andrew Stevens, Yunchen Pu, Yannan Sun et al.
Tensor Fusion Network for Multimodal Sentiment Analysis
Amir Zadeh, Minghai Chen, Soujanya Poria et al.
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang, Denis Krompass, Volker Tresp
Ten Steps of EM Suffice for Mixtures of Two Gaussians
Constantinos Daskalakis, Christos Tzamos, Manolis Zampetakis
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Wei Wen, Cong Xu, Feng Yan et al.
Testing and Learning on Distributions with Symmetric Noise Invariance
Ho Chung Law, Christopher Yau, Dino Sejdinovic
Testing Bayesian Networks
Clement L. Canonne, Ilias Diakonikolas, Daniel M. Kane et al.