Papers
A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment
Megan Willi, Stephanie A. Borrie, Tyson S. Barrett et al.
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva et al.
A Distributed Second-Order Algorithm You Can Trust
Celestine Duenner, Aurelien Lucchi, Matilde Gargiani et al.
A Distributional and Orthographic Aggregation Model for English Derivational Morphology
Daniel Deutsch, John Hewitt, Dan Roth
Admissible Abstractions for Near-optimal Task and Motion Planning
William Vega-Brown, Nicholas Roy
ADMM and Accelerated ADMM as Continuous Dynamical Systems
Guilherme Franca, Daniel Robinson, Rene Vidal
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
Hieu Le, Tomas F. Yago Vicente, Vu Nguyen et al.
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images
Pascal Sturmfels, Saige Rutherford, Mike Angstadt et al.
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference
Qianlong Du, Chengqing Zong, Keh-Yih Su
A Dual Framework for Low-rank Tensor Completion
Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra
Advancements in Dueling Bandits
Yanan Sui, Masrour Zoghi, Katja Hofmann et al.
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang, Tushar Khot, Ashish Sabharwal et al.
Adversarial Active Learning for Sequences Labeling and Generation
Yue Deng, KaWai Chen, Yilin Shen et al.
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, Tian Tian et al.
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma et al.
Adversarial Attribute-Image Person Re-identification
Zhou Yin, Wei-Shi Zheng, Ancong Wu et al.
Adversarial Complementary Learning for Weakly Supervised Object Localization
Xiaolin Zhang, Yunchao Wei, Jiashi Feng et al.
Adversarial Constraint Learning for Structured Prediction
Hongyu Ren, Russell Stewart, Jiaming Song et al.
Adversarial Contrastive Estimation
Avishek Joey Bose, Huan Ling, Yanshuai Cao
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
Arghya Pal, Vineeth N. Balasubramanian
Adversarial Distillation of Bayesian Neural Network Posteriors
Kuan-Chieh Wang, Paul Vicol, James Lucas et al.
Adversarial Domain Adaptation for Duplicate Question Detection
Darsh Shah, Tao Lei, Alessandro Moschitti et al.
Adversarial Domain Adaptation for Variational Neural Language Generation in Dialogue Systems
Van-Khanh Tran, Le-Minh Nguyen