Papers
On Controllable Sparse Alternatives to Softmax
Anirban Laha, Saneem Ahmed Chemmengath, Priyanka Agrawal et al.
On Convolutional LSTM Modeling for Joint Wake-Word Detection and Text Dependent Speaker Verification
Rajath Kumar, Vaishnavi Yeruva, Sriram Ganapathy
On Coresets for Logistic Regression
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler et al.
On denoising modulo 1 samples of a function
Mihai Cucuringu, Hemant Tyagi
On-Device Neural Language Model Based Word Prediction
Seunghak Yu, Nilesh Kulkarni, Haejun Lee et al.
On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks
Saurabh Sahu, Rahul Gupta, Carol Espy-Wilson
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning
Xiaowei Tong, Zhenxin Fu, Mingyue Shang et al.
One-Shot Action Localization by Learning Sequence Matching Network
Hongtao Yang, Xuming He, Fatih Porikli
One-shot Coresets: The Case of k-Clustering
Olivier Bachem, Mario Lucic, Silvio Lattanzi
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu, Chelsea Finn, Sudeep Dasari et al.
One-shot Learning for Question-Answering in Gaokao History Challenge
Zhuosheng Zhang, Hai Zhao
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong, Mo Yu, Shiyu Chang et al.
One-Shot Segmentation in Clutter
Claudio Michaelis, Matthias Bethge, Alexander Ecker
One-Shot Unsupervised Cross Domain Translation
Sagie Benaim, Lior Wolf
One Size Fits All? A simple LSTM for non-literal token and construction-level classification
Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych
OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification
Sowmya Vajjala, Ivana Lučić
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network
Lu Wang, Shoushan Li, Changlong Sun et al.
On Fair Price Discrimination in Multi-Unit Markets
Michele Flammini, Manuel Mauro, Matteo Tonelli
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
Xingguo Li, Tuo Zhao, Raman Arora et al.
On Fast Leverage Score Sampling and Optimal Learning
Alessandro Rudi, Daniele Calandriello, Luigi Carratino et al.
On GANs and GMMs
Eitan Richardson, Yair Weiss
On Generalized Bellman Equations and Temporal-Difference Learning
Huizhen Yu, A. Rupam Mahmood, Richard S. Sutton
On gradient regularizers for MMD GANs
Michael Arbel, Danica J. Sutherland, Mikołaj Bińkowski et al.
On Hapax Legomena and Morphological Productivity
Janet Pierrehumbert, Ramon Granell