Papers
Towards Visual Feature Translation
Jie Hu, Rongrong Ji, Hong Liu et al.
Towards VQA Models That Can Read
Amanpreet Singh, Vivek Natarajan, Meet Shah et al.
Towards Zero-resource Cross-lingual Entity Linking
Shuyan Zhou, Shruti Rijhwani, Graham Neubig
Towards Zero-shot Language Modeling
Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell et al.
Towards Zero-shot Language Modeling
Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell et al.
Toward Understanding the Impact of Staleness in Distributed Machine Learning
Wei Dai, Yi Zhou, Nanqing Dong et al.
Toward Understanding the Importance of Noise in Training Neural Networks
Mo Zhou, Tianyi Liu, Yan Li et al.
Toyota Smarthome: Real-World Activities of Daily Living
Srijan Das, Rui Dai, Michal Koperski et al.
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
Rocco Tripodi, Massimo Warglien, Simon Levis Sullam et al.
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers
Zhen He, Jian Li, Daxue Liu et al.
Tracking Discrete and Continuous Entity State for Process Understanding
Aditya Gupta, Greg Durrett
Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach
Yizheng Zhao, Ghadah Alghamdi, Renate A. Schmidt et al.
Tracking the New Zealand English NEAR/SQUARE Merger Using Functional Principal Components Analysis
Michele Gubian, Jonathan Harrington, Mary Stevens et al.
Tracking Without Bells and Whistles
Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixe
TrackIO: Tracking First Responders Inside-Out
Ashutosh Dhekne, Ayon Chakraborty, Karthikeyan Sundaresan et al.
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi et al.
Traditional and Heavy Tailed Self Regularization in Neural Network Models
Michael Mahoney, Charles Martin
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Yuexin Ma, Xinge Zhu, Sibo Zhang et al.
Traffic Updates: Saying a Lot While Revealing a Little
John Krumm, Eric Horvitz
Trainable Decoding of Sets of Sequences for Neural Sequence Models
Ashwin Kalyan, Peter Anderson, Stefan Lee et al.
Trainable Dynamic Subsampling for End-to-End Speech Recognition
Shucong Zhang, Erfan Loweimi, Yumo Xu et al.
Trainable Undersampling for Class-Imbalance Learning
Minlong Peng, Qi Zhang, Xiaoyu Xing et al.
Train and Test Tightness of LP Relaxations in Structured Prediction
Ofer Meshi, Ben London, Adrian Weller et al.
Training a Spiking Neural Network with Equilibrium Propagation
Peter O’Connor, Efstratios Gavves, Max Welling
Training CNNs with Selective Allocation of Channels
Jongheon Jeong, Jinwoo Shin