Title
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 85 149 0 10 Feb 2020
A Computational Approach to Packet Classification Alon Rashelbach Ori Rottenstreich M. Silberstein 39 52 0 10 Feb 2020
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin Gabriel Peyré Thomas Moreau 89 42 0 10 Feb 2020
End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement Shurun Wang Wenhan Yang Shiqi Wang CVBM 61 7 0 10 Feb 2020
Semi-Supervised Class Discovery Jeremy Nixon J. Liu David Berthelot 65 2 0 10 Feb 2020
MOGPTK: The Multi-Output Gaussian Process Toolkit T. Wolff Alejandro Cuevas Felipe A. Tobar GP 64 48 0 09 Feb 2020
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 91 99 0 09 Feb 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati Vivek Ramanujan Raghav Somani Mitchell Wortsman Prateek Jain Sham Kakade Ali Farhadi 197 247 0 08 Feb 2020
Finding Quantum Critical Points with Neural-Network Quantum States Remmy A. M. Zen Long My Ryan Tan F. Hébert M. Gattobigio C. Miniatura Dario Poletti S. Bressan 13 6 0 07 Feb 2020
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids Lei Lei Yue Tan Glenn Dahlenburg W. Xiang K. Zheng 76 71 0 07 Feb 2020
Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow Francois Belletti Davis E. King James Lottes Yi-Fan Chen John R. Anderson 27 1 0 06 Feb 2020
RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training Jean Lahoud Guohao Li VLM SSL 22 3 0 06 Feb 2020
Near-Optimal Hardware Design for Convolutional Neural Networks Byungik Ahn 16 1 0 06 Feb 2020
On the use of recurrent neural networks for predictions of turbulent flows L. Guastoni P. A. Srinivasan Hossein Azizpour P. Schlatter Ricardo Vinuesa AI4CE 44 12 0 04 Feb 2020
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception M. Islam Peigen Luo Junaed Sattar 73 194 0 04 Feb 2020
A neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series Y. Tachibana Masataka Nishimori Naoyuki Kitamura Kensuke Umehara Junko Ota T. Obata T. Higashi 21 2 0 03 Feb 2020
L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation with Small Datasets Mathieu Gonzalez Amine Kacete Albert Murienne É. Marchand 3DH 148 10 0 03 Feb 2020
Dynamic Parameter Allocation in Parameter Servers Alexander Renz-Wieland Rainer Gemulla Steffen Zeuch Volker Markl 52 18 0 03 Feb 2020
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation Fei Huang Dazhen Wan Zhihong Shao Pei Ke Jian Guan Yilin Niu Xiaoyan Zhu Minlie Huang 50 5 0 03 Feb 2020
DWM: A Decomposable Winograd Method for Convolution Acceleration Di Huang Xishan Zhang Rui Zhang Tian Zhi Deyuan He ... Qi Guo Zidong Du Shaoli Liu Tianshi Chen Yunji Chen 46 26 0 03 Feb 2020
Non-linear Neurons with Human-like Apical Dendrite Activations Mariana-Iuliana Georgescu Radu Tudor Ionescu Nicolae-Cătălin Ristea N. Sebe 83 21 0 02 Feb 2020
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez Risto Miikkulainen 55 9 0 31 Jan 2020
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction Houpu Yao Yi Gao Yongming Liu AI4CE 111 67 0 31 Jan 2020
Preventing Imitation Learning with Adversarial Policy Ensembles Albert Zhan Stas Tiomkin Pieter Abbeel 31 3 0 31 Jan 2020
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion Wenbo Dong Pravakar Roy Cheng Peng Volkan Isler 73 65 0 30 Jan 2020
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers Xiao Zhang Dongrui Wu L. Ding Hanbin Luo Chin-Teng Lin T. Jung Ricardo Chavarriaga AAML 91 60 0 30 Jan 2020
Audio-Visual Decision Fusion for WFST-based and seq2seq Models R. Aralikatti Sharad Roy Abhinav Thanda D. Margam Pujitha Appan Kandala Tanay Sharma S. Venkatesan 29 1 0 29 Jan 2020
Bayesian Neural Architecture Search using A Training-Free Performance Metric Andrés Camero Hao Wang Enrique Alba Thomas Bäck 66 28 0 29 Jan 2020
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations Benjamin Sliwa Nico Piatkowski Christian Wietfeld 46 40 0 28 Jan 2020
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks Sayantan Bhadra Weimin Zhou M. Anastasio MedIm GAN 66 28 0 27 Jan 2020
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net Michal Byra Piotr Jarosik K. Dobruch-Sobczak Z. Klimonda H. Piotrzkowska-Wróblewska J. Litniewski A. Nowicki 45 8 0 27 Jan 2020
Practical Fast Gradient Sign Attack against Mammographic Image Classifier Ibrahim Yilmaz AAML 78 10 0 27 Jan 2020
Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks Weimin Zhou M. Anastasio 47 21 0 26 Jan 2020
TiFL: A Tier-based Federated Learning System Zheng Chai Ahsan Ali Syed Zawad Stacey Truex Ali Anwar Nathalie Baracaldo Yi Zhou Heiko Ludwig Feng Yan Yue Cheng FedML 69 283 0 25 Jan 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation Byung Hoon Ahn Prannoy Pilligundla Amir Yazdanbakhsh H. Esmaeilzadeh ODL 113 82 0 23 Jan 2020
Coded Computing for Secure Boolean Computations Chien-Sheng Yang A. Avestimehr 45 3 0 23 Jan 2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation P. Becker Oleg Arenz Gerhard Neumann 44 16 0 23 Jan 2020
Attention! A Lightweight 2D Hand Pose Estimation Approach Nicholas Santavas Ioannis Kansizoglou Loukas Bampis E. Karakasis Antonios Gasteratos 92 50 0 22 Jan 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 87 189 0 21 Jan 2020
Lyceum: An efficient and scalable ecosystem for robot learning Colin Summers Kendall Lowrey Aravind Rajeswaran S. Srinivasa E. Todorov 80 19 0 21 Jan 2020
Human-Aware Motion Deblurring Ziyi Shen Wenguan Wang Xiankai Lu Jianbing Shen Haibin Ling Tingfa Xu Ling Shao 3DH 109 290 0 19 Jan 2020
Text-to-Image Generation with Attention Based Recurrent Neural Networks Tehseen Zia Shahan Arif Shakeeb Murtaza M. A. Ullah 35 7 0 18 Jan 2020
Graph Ordering: Towards the Optimal by Learning Kangfei Zhao Yu Rong Jianwei Yu Junzhou Huang Hao Zhang 34 5 0 18 Jan 2020
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning Samaneh Hosseini Semnani H. Liu Michael Everett A. D. de Ruiter Jonathan P. How 62 113 0 18 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 81 67 0 17 Jan 2020
Approximating Activation Functions Nicholas Gerard Timmons Andrew Rice 56 14 0 17 Jan 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 97 79 0 16 Jan 2020
Simulation Assisted Likelihood-free Anomaly Detection Anders Andreassen Benjamin Nachman David Shih 89 112 0 14 Jan 2020
Anomaly Detection with Density Estimation Benjamin Nachman David Shih 74 220 0 14 Jan 2020
Reliable and Energy Efficient MLC STT-RAM Buffer for CNN Accelerators Masoomeh Jasemi S. Hessabi N. Bagherzadeh 22 9 0 14 Jan 2020