Title
Causal Discovery with Reinforcement Learning Shengyu Zhu Ignavier Ng Zhitang Chen CML 110 242 0 11 Jun 2019
Bag of Color Features For Color Constancy Firas Laakom Nikolaos Passalis Jenni Raitoharju Jarno Nikkanen Anastasios Tefas Alexandros Iosifidis Moncef Gabbouj 46 33 0 11 Jun 2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks Yi Tay Aston Zhang Anh Tuan Luu J. Rao Shuai Zhang Shuohang Wang Jie Fu S. Hui 80 57 0 11 Jun 2019
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices Jie Liu Jiawen Liu Wan Du Dong Li HAI 52 5 0 10 Jun 2019
BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction Mohammad Mozaffari Won-Sook Lee 38 8 0 10 Jun 2019
Multi-objects Generation with Amortized Structural Regularization Kun Xu Chongxuan Li Jun Zhu Bo Zhang 55 17 0 10 Jun 2019
Malware Detection with LSTM using Opcode Language Renjie Lu 56 43 0 10 Jun 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records Michael W. Dusenberry Dustin Tran Edward Choi Jonas Kemp Jeremy Nixon Ghassen Jerfel Katherine A. Heller Andrew M. Dai 98 118 0 10 Jun 2019
Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks Xiao Li Yue Dong Pieter Peers Xin Tong GAN 55 33 0 10 Jun 2019
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach Gyeong-In Yu Saeed Amizadeh Sehoon Kim Artidoro Pagnoni Byung-Gon Chun Markus Weimer Matteo Interlandi MedIm AI4CE 55 4 0 10 Jun 2019
BAGS: An automatic homework grading system using the pictures taken by smart phones Xiaoshuo Li Tiezhu Yue Xuanteng Huang Zhe Yang Gang Xu 39 4 0 10 Jun 2019
Redundancy-Free Computation Graphs for Graph Neural Networks Zhihao Jia Sina Lin Rex Ying Jiaxuan You J. Leskovec Alexander Aiken GNN 52 11 0 09 Jun 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability Shaowu Pan Karthik Duraisamy 140 138 0 09 Jun 2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks Aryan Mobiny H. Nguyen S. Moulik Naveen Garg Carol C. Wu UQCV BDL 76 163 0 07 Jun 2019
Word-based Domain Adaptation for Neural Machine Translation Shen Yan Leonard Dahlmann Pavel Petrushkov Sanjika Hewavitharana Shahram Khadivi 37 7 0 07 Jun 2019
Reconstruction and Membership Inference Attacks against Generative Models Benjamin Hilprecht Martin Härterich Daniel Bernau AAML MIACV 90 192 0 07 Jun 2019
Tensor Processing Units for Financial Monte Carlo Francois Belletti Davis E. King Kun Yang Roland Nelet Yusef Shafi Yi-Fan Chen John R. Anderson 41 21 0 06 Jun 2019
Solving Electrical Impedance Tomography with Deep Learning Yuwei Fan Lexing Ying 99 104 0 06 Jun 2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen ... Andrey Malevich Dheevatsa Mudigere M. Smelyanskiy Liang Xiong Xuan Zhang GNN 121 292 0 06 Jun 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations Debraj Basu Deepesh Data C. Karakuş Suhas Diggavi MQ 76 408 0 06 Jun 2019
Efficient, Lexicon-Free OCR using Deep Learning Marcin Namysl I. Konya 3DV 36 35 0 05 Jun 2019
pCAMP: Performance Comparison of Machine Learning Packages on the Edges Xingzhou Zhang Yifan Wang Weisong Shi 68 91 0 05 Jun 2019
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 82 101 0 05 Jun 2019
On-board Deep Q-Network for UAV-assisted Online Power Transfer and Data Collection Kai Li Wei Ni Eduardo Tovar 39 94 0 04 Jun 2019
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test Chujie Zheng Minlie Huang Aixin Sun 115 88 0 04 Jun 2019
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference Peter Kraft Daniel Kang Deepak Narayanan Shoumik Palkar Peter Bailis Matei A. Zaharia 76 13 0 03 Jun 2019
A Comprehensive Study on Deep Learning Bug Characteristics Md Johirul Islam Giang Nguyen Rangeet Pan Hridesh Rajan ELM 55 311 0 03 Jun 2019
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach S. Khaki Zahra Khalilzadeh Lizhi Wang 99 32 0 02 Jun 2019
SO(8) Supergravity and the Magic of Machine Learning Iulia Comsa Moritz Firsching T. Fischbacher 63 40 0 01 Jun 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning Jeffrey M. Ede R. Beanland MedIm 137 22 0 31 May 2019
GENO -- GENeric Optimization for Classical Machine Learning Soren Laue Matthias Mitterreiter Joachim Giesen AI4CE 50 18 0 31 May 2019
Matrix-Free Preconditioning in Online Learning Ashok Cutkosky Tamás Sarlós ODL 98 16 0 29 May 2019
An Inertial Newton Algorithm for Deep Learning Camille Castera Jérôme Bolte Cédric Févotte Edouard Pauwels PINN ODL 117 64 0 29 May 2019
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels Ali Hatamizadeh H. Hosseini Zhengyuan Liu S. Schwartz Demetri Terzopoulos MedIm 63 25 0 28 May 2019
Deep Learning for Bug-Localization in Student Programs Rahul Gupta Aditya Kanade S. Shevade 33 4 0 28 May 2019
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks Weicheng Li Rui Wang Zhongzhi Luan Di Huang Zidong Du Yunji Chen D. Qian 27 1 0 28 May 2019
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels Yihong Chen B. Chen Xiangnan He Chen Gao Yong Li Jian-Guang Lou Yue Wang 73 46 0 28 May 2019
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez Risto Miikkulainen 91 77 0 27 May 2019
Ancestral causal learning in high dimensions with a human genome-wide application Umberto Noè B. Taschler J. Täger P. Heutink S. Mukherjee CML 30 1 0 27 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 148 583 0 27 May 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 86 64 0 27 May 2019
ODE $^2$ VAE: Deep generative second order ODEs with Bayesian neural networks Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL DRL 100 88 0 27 May 2019
FOBE and HOBE: First- and High-Order Bipartite Embeddings Justin Sybrandt Ilya Safro 55 15 0 27 May 2019
Purifying Adversarial Perturbation with Adversarially Trained Auto-encoders Hebi Li Qi Xiao Shixin Tian Jin Tian AAML 68 4 0 26 May 2019
Graph Attention Auto-Encoders Amin Salehi H. Davulcu GNN 72 125 0 26 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding Doyup Lee Suehun Jung Yeongjae Cheon Dongil Kim Seungil You AI4TS 56 6 0 26 May 2019
Sherlock: A Deep Learning Approach to Semantic Data Type Detection Madelon Hulsebos K. Hu Michiel A. Bakker Emanuel Zgraggen Arvind Satyanarayan Tim Kraska cCaugatay Demiralp César A. Hidalgo HAI 80 186 0 25 May 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 199 807 0 25 May 2019
Scaling Video Analytics on Constrained Edge Nodes Christopher Canel Thomas Kim Giulio Zhou Conglong Li Hyeontaek Lim D. Andersen M. Kaminsky Subramanya R. Dulloor 78 166 0 24 May 2019
Polystore++: Accelerated Polystore System for Heterogeneous Workloads Rekha Singhal Nathan Zhang Luigi Nardi M. Shahbaz K. Olukotun 34 8 0 24 May 2019