Title
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free Mingrui Zhang Lin Chen Aryan Mokhtari Hamed Hassani Amin Karbasi 16 8 0 17 Feb 2019
Fast Task-Aware Architecture Inference Efi Kokiopoulou Anja Hauth L. Sbaiz Andrea Gesmundo Gábor Bartók Jesse Berent 3DV 17 17 0 15 Feb 2019
Network Offloading Policies for Cloud Robotics: a Learning-based Approach Sandeep P. Chinchali Apoorva Sharma James Harrison Amine Elhafsi Daniel Kang Evgenya Pergament Eyal Cidon Sachin Katti Marco Pavone OffRL 11 105 0 15 Feb 2019
Learning to Adaptively Scale Recurrent Neural Networks Hao Hu Liqiang Wang Guo-Jun Qi AI4CE 20 9 0 15 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting Justice Amoh K. Odame 26 17 0 13 Feb 2019
Deep Reinforcement Learning from Policy-Dependent Human Feedback Dilip Arumugam Jun Ki Lee S. Saskin Michael L. Littman 28 94 0 12 Feb 2019
On Residual Networks Learning a Perturbation from Identity Michael Hauser 27 4 0 11 Feb 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning Frederik Benzing M. Gauy Asier Mujika A. Martinsson Angelika Steger 23 22 0 11 Feb 2019
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images Magauiya Zhussip Shakarim Soltanayev S. Chun OOD 20 3 0 07 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 37 20 0 01 Feb 2019
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning Yichen Wu Y. Rivenson Hongda Wang Yilin Luo Eyal Ben-David L. Bentolila C. Pritz Aydogan Ozcan MedIm 24 186 0 31 Jan 2019
Direct Feedback Alignment with Sparse Connections for Local Learning Brian Crafton A. Parihar Evan Gebhardt A. Raychowdhury 8 56 0 30 Jan 2019
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density Behrooz Ghorbani Shankar Krishnan Ying Xiao ODL 18 317 0 29 Jan 2019
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture Yu Ji Youyang Zhang Xinfeng Xie Shuangchen Li Peiqi Wang Xing Hu Youhui Zhang Yuan Xie 9 55 0 28 Jan 2019
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks Z. Q. Lin A. Wong 22 1 0 26 Jan 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 51 715 0 25 Jan 2019
Ambitious Data Science Can Be Painless Hatef Monajemi Riccardo Murri Eric Jonas Percy Liang V. Stodden D. Donoho 21 13 0 25 Jan 2019
F1/10: An Open-Source Autonomous Cyber-Physical Platform Matthew O'Kelly Varundev Sukhil Houssam Abbas J. Harkins Chris Kao ... Rahul Mangharam Dipshil Agarwal Madhur Behl P. Burgio Marko Bertogna 16 104 0 24 Jan 2019
Meta-Learning Mean Functions for Gaussian Processes Vincent Fortuin Heiko Strathmann Gunnar Rätsch BDL FedML MLT 24 29 0 23 Jan 2019
Backprop with Approximate Activations for Memory-efficient Network Training Ayan Chakrabarti Benjamin Moseley 16 37 0 23 Jan 2019
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey Jithin Jagannath Nicholas Polosky Anu Jagannath Francesco Restuccia Tommaso Melodia 33 228 0 23 Jan 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction Nairouz Mrabah N. Khan Riadh Ksantini Z. Lachiri 13 63 0 23 Jan 2019
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Neural Networks Jinrong Guo Wantao Liu Wang Wang Q. Lu Songlin Hu Jizhong Han Ruixuan Li 16 9 0 21 Jan 2019
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators Jianan Li Jimei Yang Aaron Hertzmann Jianming Zhang Tingfa Xu GAN 15 226 0 21 Jan 2019
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads Myeongjae Jeon Shivaram Venkataraman Amar Phanishayee Junjie Qian Wencong Xiao Fan Yang GNN 6 350 0 17 Jan 2019
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing X. Tu Jian-jun Zhao M. Xie Guodong Du Hengsheng Zhang Jianshu Li Z. Ma Jiashi Feng CVBM OOD 19 89 0 17 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 52 2,227 0 16 Jan 2019
TensorFlow.js: Machine Learning for the Web and Beyond D. Smilkov Nikhil Thorat Yannick Assogba Ann Yuan Nick Kreeger ... D. Sculley R. Monga G. Corrado F. Viégas Martin Wattenberg 25 173 0 16 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 29 55 0 15 Jan 2019
Learning Autonomous Exploration and Mapping with Semantic Vision Xiangyang Zhi Xuming He Sören Schwertfeger 27 9 0 15 Jan 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning Ameer Haj-Ali Qijing Huang William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 29 36 0 15 Jan 2019
Self-Supervised Deep Active Accelerated MRI Kyong Hwan Jin M. Unser K. M. Yi OOD MedIm 36 60 0 14 Jan 2019
Enhancing Explainability of Neural Networks through Architecture Constraints Zebin Yang Aijun Zhang Agus Sudjianto AAML 11 87 0 12 Jan 2019
Fast GPU-Enabled Color Normalization for Digital Pathology Goutham Ramakrishnan Deepak Anand A. Sethi OOD MedIm 26 36 0 10 Jan 2019
Composite Shape Modeling via Latent Space Factorization Anastasia Dubrovina Fei Xia Panos Achlioptas Mira Shalah Raphael Groscot Leonidas J. Guibas 3DV 8 64 0 09 Jan 2019
MSR: Multi-Scale Shape Regression for Scene Text Detection Chuhui Xue Shijian Lu Wei Zhang 21 130 0 09 Jan 2019
Fusion Strategies for Learning User Embeddings with Neural Networks Philipp Blandfort Tushar Karayil Federico Raue Jörn Hees Andreas Dengel FedML 30 9 0 08 Jan 2019
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers A. Koliousis Pijika Watcharapichat Matthias Weidlich Luo Mai Paolo Costa Peter R. Pietzuch 21 69 0 08 Jan 2019
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials Despoina Paschalidou Ali O. Ulusoy Carolin Schmitt Luc van Gool Andreas Geiger 3DV 19 91 0 06 Jan 2019
RNNSecureNet: Recurrent neural networks for Cyber security use-cases R. MohammedHarunBabu R. Vinayakumar K. Soman 6 9 0 05 Jan 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning Peter F. Schulam Suchi Saria OOD 27 103 0 02 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review Ahmad Shawahna S. M. Sait A. El-Maleh 28 372 0 01 Jan 2019
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks Mohamed Yousef K. Hussain U. S. Mohammed 3DV 26 124 0 31 Dec 2018
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 25 73 0 26 Dec 2018
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 23 5 0 24 Dec 2018
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input Junliang Guo Xu Tan Di He Tao Qin Linli Xu Tie-Yan Liu 16 125 0 23 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 22 119 0 22 Dec 2018
wav2letter++: The Fastest Open-source Speech Recognition System Vineel Pratap Awni Y. Hannun Qiantong Xu Jeff Cai Jacob Kahn Gabriel Synnaeve Vitaliy Liptchinsky R. Collobert VLM 18 156 0 18 Dec 2018
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images S. Graham Q. Vu S. Raza A. Azam Yee Wah Tsang J. T. Kwak Nasir M. Rajpoot 11 1,004 0 16 Dec 2018