Papers
Ab Initio: Automatic Latin Proto-word Reconstruction
Alina Maria Ciobanu, Liviu P. Dinu
A Biresolution Spectral Framework for Product Quantization
Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng et al.
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Tengyang Xie, Bo Liu, Yangyang Xu et al.
A Boo(n) for Evaluating Architecture Performance
Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst
A Brand-level Ranking System with the Customized Attention-GRU Model
Yu Zhu, Junxiong Zhu, Jie Hou et al.
A Bridging Framework for Model Optimization and Deep Propagation
Risheng Liu, Shichao Cheng, xiaokun liu et al.
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams, Nikita Nangia, Samuel Bowman
Abstraction of Agents Executing Online and their Abilities in the Situation Calculus
Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN
Jingqiang Chen, Hai Zhuge
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion
Mir Tafseer Nayeem, Tanvir Ahmed Fuad, Yllias Chali
Abstract Meaning Representation for Multi-Document Summarization
Kexin Liao, Logan Lebanoff, Fei Liu
Abstract Meaning Representation for Paraphrase Detection
Fuad Issa, Marco Damonte, Shay B. Cohen et al.
A Case Study on Learning a Unified Encoder of Relations
Lisheng Fu, Bonan Min, Thien Huu Nguyen et al.
A Case Study on the Importance of Belief State Representation for Dialogue Policy Management
Margarita Kotti, Vassilios Diakoloukas, Alexandros Papangelis et al.
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
Yuanlu Xu, Lei Qin, Xiaobai Liu et al.
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs
Bin Gu, Yingying Shan, Xiang Geng et al.
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression
Duy Nhat Phan, Hoai Minh Le, Hoai An Le Thi
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent
Chi Jin, Praneeth Netrapalli, Michael I. Jordan
Accelerated Spectral Ranking
Arpit Agarwal, Prathamesh Patil, Shivani Agarwal
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Robert Gower, Filip Hanzely, Peter Richtarik et al.
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms
Pan Xu, Tianhao Wang, Quanquan Gu
Accelerated Stochastic Power Iteration
Peng Xu, Bryan He, Christopher De Sa et al.
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation
Nikolay Bogoychev, Kenneth Heafield, Alham Fikri Aji et al.
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning
Shaohui Lin, Rongrong Ji, Yuchao Li et al.