Papers
The New Thot Toolkit for Fully-Automatic and Interactive Statistical Machine Translation
Daniel Ortiz-Martínez, Francisco Casacuberta
The Noisy Power Method: A Meta Algorithm with Applications
Moritz Hardt, Eric Price
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman, Andrew Gelman
Theoretical Analyses on Ensemble and Multiple Kernel Regressors
Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai et al.
The Penn Parsed Corpus of Modern British English: First Parsing Results and Analysis
Seth Kulick, Anthony Kroch, Beatrice Santorini
The Photometry of Intrinsic Images
Marc Serra, Olivier Penacchio, Robert Benavente et al.
The Power of Choice in Data-Aware Cluster Scheduling
Shivaram Venkataraman, Aurojit Panda, Ganesh Ananthanarayanan et al.
2014
OSDI
The Role of Context for Object Detection and Semantic Segmentation in the Wild
Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu et al.
The sample complexity of agnostic learning under deterministic labels
Shai Ben-David, Ruth Urner
The Secrets of Salient Object Segmentation
Yin Li, Xiaodi Hou, Christof Koch et al.
The Shape-Time Random Field for Semantic Video Labeling
Andrew Kae, Benjamin Marlin, Erik Learned-Miller
The Stanford CoreNLP Natural Language Processing Toolkit
Christopher Manning, Mihai Surdeanu, John Bauer et al.
The Student-t Mixture as a Natural Image Patch Prior with Application to Image Compression
Aäron van den Oord, Benjamin Schrauwen
The Synthesizability of Texture Examples
Dengxin Dai, Hayko Riemenschneider, Luc Van Gool
The VerbCorner Project: Findings from Phase 1 of crowd-sourcing a semantic decomposition of verbs
Joshua K. Hartshorne, Claire Bonial, Martha Palmer
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding
Dian Yu, Hongzhao Huang, Taylor Cassidy et al.
ThinkMiners: Disorder Recognition using Conditional Random Fields and Distributional Semantics
Ankur Parikh, Avinesh PVS, Joy Mustafi et al.
Think Positive: Towards Twitter Sentiment Analysis from Scratch
Cícero dos Santos
Thompson Sampling for Complex Online Problems
Aditya Gopalan, Shie Mannor, Yishay Mansour
Three Guidelines of Online Learning for Large-Scale Visual Recognition
Yoshitaka Ushiku, Masatoshi Hidaka, Tatsuya Harada
Tierless Programming and Reasoning for Software-Defined Networks
Tim Nelson, Andrew D. Ferguson, Michael J.G. Scheer et al.
2014
NSDI
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
Remi Lemonnier, Kevin Scaman, Nicolas Vayatis
Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees
Jean Honorio, Tommi Jaakkola
Tight Continuous Relaxation of the Balanced k-Cut Problem
Syama Sundar Rangapuram, Pramod Kaushik Mudrakarta, Matthias Hein