Papers
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram et al.
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
Xin Li, Lidong Bing, Piji Li et al.
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining
Shweta Yadav, Asif Ekbal, Sriparna Saha et al.
A Unified Neural Coherence Model
Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty et al.
A Unified Neural Coherence Model
Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty et al.
A unified theory for the origin of grid cells through the lens of pattern formation
Ben Sorscher, Gabriel Mel, Surya Ganguli et al.
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Jack Lindsey, Samuel A. Ocko, Surya Ganguli et al.
A unified variance-reduced accelerated gradient method for convex optimization
Guanghui Lan, Zhize Li, Yi Zhou
A Unified Weight Learning Paradigm for Multi-view Learning
Lai Tian, Feiping Nie, Xuelong Li
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening
Gecia Bravo Hermsdorff, Lee Gunderson
A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise
Francis Bach, Kfir Y Levy
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
Necdet Serhat Aybat, Alireza Fallah, Mert Gurbuzbalaban et al.
A Universal Music Translation Network
Noam Mor, Lior Wolf, Adam Polyak et al.
A user study to compare two conversational assistants designed for people with hearing impairments
Anja Virkkunen, Juri Lukkarila, Kalle Palomäki et al.
2019
ACL
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
Jiong Zhang, Hsiang-Fu Yu, Inderjit S Dhillon
AutoAugment: Learning Augmentation Strategies From Data
Ekin D. Cubuk, Barret Zoph, Dandelion Mane et al.
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff et al.
AutoDispNet: Improving Disparity Estimation With AutoML
Tonmoy Saikia, Yassine Marrakchi, Arber Zela et al.
Autoencoder-Based Semi-Supervised Curriculum Learning for Out-of-Domain Speaker Verification
Siqi Zheng, Gang Liu, Hongbin Suo et al.
Autoencoding any Data through Kernel Autoencoders
Pierre Laforgue, Stéphan Clémençon, Florence d’Alche-Buc
Auto-Encoding Nearest Neighbor i-Vectors for Speaker Verification
Umair Khan, Miquel India, Javier Hernando
Auto-Encoding Scene Graphs for Image Captioning
Xu Yang, Kaihua Tang, Hanwang Zhang et al.