Papers
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention
Zhizhong Han, Xiyang Wang, Chi Man Vong et al.
3D Volumetric Modeling with Introspective Neural Networks
Wenlong Huang, Brian Lai, Weijian Xu et al.
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Christopher Choy, JunYoung Gwak, Silvio Savarese
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Arsalan Mousavian, Clemens Eppner, Dieter Fox
75 Languages, 1 Model: Parsing Universal Dependencies Universally
Dan Kondratyuk, Milan Straka
75 Languages, 1 Model: Parsing Universal Dependencies Universally
Dan Kondratyuk, Milan Straka
A 2-Approximation Algorithm for the Online Tethered Coverage Problem
Gokarna Sharma, Pavan Poudel, Ayan Dutta et al.
A2BCD: Asynchronous Acceleration with Optimal Complexity
Robert Hannah, Fei Feng, Wotao Yin
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation From a Single Depth Image
Fu Xiong, Boshen Zhang, Yang Xiao et al.
A2N: Attending to Neighbors for Knowledge Graph Inference
Trapit Bansal, Da-Cheng Juan, Sujith Ravi et al.
A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes
Kui Xu, Zhe Wang, Jianping Shi et al.
AANet: Attribute Attention Network for Person Re-Identifications
Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap
A Bag-of-concepts Model Improves Relation Extraction in a Narrow Knowledge Domain with Limited Data
Jiyu Chen, Karin Verspoor, Zenan Zhai
A Bandit Approach to Maximum Inner Product Search
Rui Liu, Tianyi Wu, Barzan Mozafari
ABARUAH at SemEval-2019 Task 5 : Bi-directional LSTM for Hate Speech Detection
Arup Baruah, Ferdous Barbhuiya, Kuntal Dey
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
Jingkai Mao, Jakob Foerster, Tim Rocktäschel et al.
A Bayesian Approach for Sequence Tagging with Crowds
Edwin Simpson, Iryna Gurevych
A Bayesian Approach for Sequence Tagging with Crowds
Edwin Simpson, Iryna Gurevych
A Bayesian Approach to Robust Reinforcement Learning
Esther Derman, Daniel Mankowitz, Timothy Mann et al.
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
Juho Lee, Lancelot James, Seungjin Choi et al.
A Bayesian Optimization Framework for Neural Network Compression
Xingchen Ma, Amal Rannen Triki, Maxim Berman et al.
A Bayesian Perspective on the Deep Image Prior
Zezhou Cheng, Matheus Gadelha, Subhransu Maji et al.
A Bayesian Theory of Conformity in Collective Decision Making
Koosha Khalvati, Saghar Mirbagheri, Seongmin A. Park et al.
Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation
Manuel R. Ciosici, Ira Assent
ABC: A Big CAD Model Dataset for Geometric Deep Learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang et al.