Papers
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
Shusen Wang, Zhihua Zhang, Tong Zhang
Towards Non-projective High-Order Dependency Parser
Wenjing Fang, Kenny Zhu, Yizhong Wang et al.
Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models
Albert Zeyer, Ralf Schlüter, Hermann Ney
Towards Open Set Deep Networks
Abhijit Bendale, Terrance E. Boult
Towards Smart-Cars That Can Listen: Abnormal Acoustic Event Detection on the Road
Mahesh Kumar Nandwana, Taufiq Hasan
Towards Stability and Optimality in Stochastic Gradient Descent
Panos Toulis, Dustin Tran, Edo Airoldi
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
Aditya Joshi, Ameya Prabhu, Manish Shrivastava et al.
Towards Time-Aware Knowledge Graph Completion
Tingsong Jiang, Tianyu Liu, Tao Ge et al.
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Yizhe Zhang, Xiangyu Wang, Changyou Chen et al.
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning
Randal S. Olson, Jason H. Moore
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations
Xian Wei, Hao Shen, Martin Kleinsteuber
Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals
Fanyi Xiao, Yong Jae Lee
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection
Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
Tracking Contours of Orofacial Articulators from Real-Time MRI of Speech
Mathieu Labrunie, Pierre Badin, Dirk Voit et al.
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient
Tianbao Yang, Lijun Zhang, Rong Jin et al.
Tracking the Best Expert in Non-stationary Stochastic Environments
Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
Fanhua Shang, Yuanyuan Liu, James Cheng
Tractable Operations for Arithmetic Circuits of Probabilistic Models
Yujia Shen, Arthur Choi, Adnan Darwiche
Traffic-Sign Detection and Classification in the Wild
Zhe Zhu, Dun Liang, Songhai Zhang et al.
Train and Test Tightness of LP Relaxations in Structured Prediction
Ofer Meshi, Mehrdad Mahdavi, Adrian Weller et al.
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt, Ben Recht, Yoram Singer
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Junhua Mao, Jiajing Xu, Kevin Jing et al.
Training Data Enrichment for Infrequent Discourse Relations
Kailang Jiang, Giuseppe Carenini, Raymond Ng
Training Deep Neural Networks via Direct Loss Minimization
Yang Song, Alexander Schwing, Richard et al.
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor, Ryan Burmeister, Zheng Xu et al.