Papers
Tracking the Untrackable: Learning to Track Multiple Cues With Long-Term Dependencies
Amir Sadeghian, Alexandre Alahi, Silvio Savarese
Tractability in Structured Probability Spaces
Arthur Choi, Yujia Shen, Adnan Darwiche
Trading off Rewards and Errors in Multi-Armed Bandits
Akram Erraqabi, Alessandro Lazaric, Michal Valko et al.
Trainable Greedy Decoding for Neural Machine Translation
Jiatao Gu, Kyunghyun Cho, Victor O.K. Li
Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling
Tamás Grósz, Gábor Gosztolya, László Tóth
Training Data Augmentation for Low-Resource Morphological Inflection
Toms Bergmanis, Katharina Kann, Hinrich Schütze et al.
Training Deep Networks to Be Spatially Sensitive
Nicholas Kolkin, Eli Shechtman, Gregory Shakhnarovich
Training Deep Networks without Learning Rates Through Coin Betting
Francesco Orabona, Tatiana Tommasi
Training Group Orthogonal Neural Networks with Privileged Information
Yunpeng Chen, Xiaojie Jin, Jiashi Feng et al.
Training Object Class Detectors With Click Supervision
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller et al.
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu et al.
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
Ingmar Kanitscheider, Ila Fiete
Training Word Sense Embeddings With Lexicon-based Regularization
Luis Nieto-Piña, Richard Johansson
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer, Itay Hubara, Daniel Soudry
Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data
Tommaso Pasini, Roberto Navigli
Trajectory Optimization for Self-Calibration and Navigation
James Preiss, Karol Hausman, Gaurav Sukhatme et al.
Transductive Non-linear Learning for Chinese Hypernym Prediction
Chengyu Wang, Junchi Yan, Aoying Zhou et al.
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
Toan Q. Nguyen, David Chiang
Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages
Basil Abraham, Tejaswi Seeram, S. Umesh
Transfer Learning Between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction
Qinyi Luo, Rahul Gupta, Shrikanth S. Narayanan
Transfer Learning in Multi-Armed Bandits: A Causal Approach
Junzhe Zhang, Elias Bareinboim
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James, Andrew J. Davison, Edward Johns
Transferring Objects: Joint Inference of Container and Human Pose
Hanqing Wang, Wei Liang, Lap-Fai Yu
Transferring Semantic Roles Using Translation and Syntactic Information
Maryam Aminian, Mohammad Sadegh Rasooli, Mona Diab
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
Eunbyung Park, Jimei Yang, Ersin Yumer et al.