Title
Language-agnostic Multilingual Modeling A. Datta Bhuvana Ramabhadran Jesse Emond Anjuli Kannan Brian Roark 24 35 0 20 Apr 2020
Local Search is a Remarkably Strong Baseline for Neural Architecture Search T. D. Ottelander A. Dushatskiy M. Virgolin Peter A. N. Bosman OOD 33 38 0 20 Apr 2020
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Non-Blocking Simultaneous Multithreading: Embracing the Resiliency of Deep Neural Networks Gil Shomron U. Weiser 16 14 0 17 Apr 2020
Bit-Parallel Vector Composability for Neural Acceleration Soroush Ghodrati Hardik Sharma C. Young Nam Sung Kim H. Esmaeilzadeh MQ 6 20 0 11 Apr 2020
Reducing Data Motion to Accelerate the Training of Deep Neural Networks Sicong Zhuang Cristiano Malossi Marc Casas 27 0 0 05 Apr 2020
High Bandwidth Memory on FPGAs: A Data Analytics Perspective Kaan Kara C. Hagleitner D. Diamantopoulos D. Syrivelis Gustavo Alonso 24 31 0 02 Apr 2020
Improving 3D Object Detection through Progressive Population Based Augmentation Shuyang Cheng Zhaoqi Leng E. D. Cubuk Barret Zoph Chunyan Bai ... Vijay Vasudevan Congcong Li Quoc V. Le Jonathon Shlens Dragomir Anguelov 3DPC 20 74 0 02 Apr 2020
Overview of the IBM Neural Computer Architecture P. Narayanan C. E. Cox Alexis Asseman Nicolas Antoine Harald Huels W. Wilcke A. Ozcan AI4CE 9 3 0 25 Mar 2020
GraphChallenge.org Sparse Deep Neural Network Performance J. Kepner Simon Alford V. Gadepally Michael Jones Lauren Milechin Albert Reuther Ryan A. Robinett S. Samsi GNN 6 11 0 25 Mar 2020
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 237 273 0 24 Mar 2020
BusTime: Which is the Right Prediction Model for My Bus Arrival Time? Dairui Liu Jingxiang Sun Shen Wang 11 9 0 20 Mar 2020
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios Adam Dziedzic V. Sathya M. I. Rochman M. Ghosh S. Krishnan 24 19 0 18 Mar 2020
Developing a Recommendation Benchmark for MLPerf Training and Inference Carole-Jean Wu Robin Burke Ed H. Chi Joseph Konstan Julian McAuley Yves Raimond Hao Zhang VLM 16 29 0 16 Mar 2020
LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference in Image Recognition Ramyad Hadidi Bahar Asgari Jiashen Cao Younmin Bae Da Eun Shim Hyojong Kim Sung-Kyu Lim Michael S. Ryoo Hyesoon Kim 13 1 0 13 Mar 2020
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey Zhenheng Tang Shaoshuai Shi Wei Wang Bo Li Xuming Hu 31 48 0 10 Mar 2020
Compiling Neural Networks for a Computational Memory Accelerator K. Kourtis M. Dazzi Nikolas Ioannou Tobias Grosser Abu Sebastian E. Eleftheriou 17 5 0 05 Mar 2020
Adaptive Verifiability-Driven Strategy for Evolutionary Approximation of Arithmetic Circuits Milan Ceska Jiří Matyáš Vojtěch Mrázek Lukás Sekanina Z. Vašíček Tomáš Vojnar 24 4 0 05 Mar 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices Byung Hoon Ahn Jinwon Lee J. Lin Hsin-Pai Cheng Jilei Hou H. Esmaeilzadeh 76 55 0 04 Mar 2020
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference Oindrila Saha Aditya Kusupati H. Simhadri Manik Varma Prateek Jain 27 54 0 27 Feb 2020
Disentangling Adaptive Gradient Methods from Learning Rates Naman Agarwal Rohan Anil Elad Hazan Tomer Koren Cyril Zhang 27 34 0 26 Feb 2020
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers Zhuohan Li Eric Wallace Sheng Shen Kevin Lin Kurt Keutzer Dan Klein Joseph E. Gonzalez 22 148 0 26 Feb 2020
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems Sourjya Roy S. Sridharan Shubham Jain A. Raghunathan 29 44 0 25 Feb 2020
A $^3$ : Accelerating Attention Mechanisms in Neural Networks with Approximation Tae Jun Ham Sungjun Jung Seonghak Kim Young H. Oh Yeonhong Park ... Jung-Hun Park Sanghee Lee Kyoung Park Jae W. Lee D. Jeong 24 214 0 22 Feb 2020
TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU Filip Vaverka Vojtěch Mrázek Z. Vašíček Lukás Sekanina 9 34 0 21 Feb 2020
Scalable Second Order Optimization for Deep Learning Rohan Anil Vineet Gupta Tomer Koren Kevin Regan Y. Singer ODL 27 29 0 20 Feb 2020
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration Cong Guo Yangjie Zhou Jingwen Leng Yuhao Zhu Zidong Du Quan Chen Chao Li Bin Yao Minyi Guo 14 32 0 18 Feb 2020
Marvel: A Data-centric Compiler for DNN Operators on Spatial Accelerators Prasanth Chatarasi Hyoukjun Kwon Natesh Raina Saurabh Malik Vaisakh Haridas Angshuman Parashar Michael Pellauer T. Krishna Vivek Sarkar 8 5 0 18 Feb 2020
Controlling Computation versus Quality for Neural Sequence Models Ankur Bapna N. Arivazhagan Orhan Firat 35 30 0 17 Feb 2020
AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite Wanling Gao Fei Tang Jianfeng Zhan Chuanxin Lan Chunjie Luo ... Gang Lu Junchao Shao Zhenyu Wang Xiaoyu Wang Hainan Ye 27 1 0 17 Feb 2020
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization Meng Li Yilei Li P. Chuang Liangzhen Lai Vikas Chandra 16 3 0 13 Feb 2020
Taurus: A Data Plane Architecture for Per-Packet ML Tushar Swamy Alexander Rucker M. Shahbaz Ishan Gaur K. Olukotun 23 82 0 12 Feb 2020
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator Mohamed S. Abdelfattah Łukasz Dudziak Thomas C. P. Chau Royson Lee Hyeji Kim Nicholas D. Lane 17 80 0 11 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 19 150 0 10 Feb 2020
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions Aaron R. Voelker Daniel Rasmussen C. Eliasmith 26 17 0 10 Feb 2020
Large-Scale Discrete Fourier Transform on TPUs Tianjian Lu Yi-Fan Chen Blake A. Hechtman Tao Wang John R. Anderson 18 33 0 09 Feb 2020
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization Milovs Nikolić G. B. Hacene Ciaran Bannon Alberto Delmas Lascorz Matthieu Courbariaux Yoshua Bengio Vincent Gripon Andreas Moshovos MQ 30 24 0 08 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 18 1 0 06 Feb 2020
PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives Sanket Tavarageri A. Heinecke Sasikanth Avancha Gagandeep Goyal Ramakrishna Upadrasta Bharat Kaul 22 0 0 06 Feb 2020
Photonic tensor cores for machine learning M. Miscuglio V. Sorger 27 147 0 01 Feb 2020
Machine learning on DNA-encoded libraries: A new paradigm for hit-finding Kevin McCloskey E. Sigel S. Kearnes L. Xue Xia Tian ... C. Hupp Anthony D. Keefe Christopher J. Mulhern Ying Zhang Patrick F. Riley 56 103 0 31 Jan 2020
GPU Tensor Cores for fast Arithmetic Reductions C. Navarro R. Carrasco R. Barrientos J. A. Riquelme R. Vega 12 35 0 15 Jan 2020
The Two-Pass Softmax Algorithm Marat Dukhan Artsiom Ablavatski TPM 11 8 0 13 Jan 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference Udit Gupta Samuel Hsia V. Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu GNN 38 188 0 08 Jan 2020
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design Yusuke Sakemi K. Morino Takashi Morie Kazuyuki Aihara 16 32 0 08 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 34 73 0 07 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 33 289 0 07 Jan 2020
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs Pengfei Xu Xiaofan Zhang Cong Hao Yang Katie Zhao Yongan Zhang Yue Wang Chaojian Li Zetong Guan Deming Chen Yingyan Lin 25 89 0 06 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 37 81 0 02 Jan 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 49 216 0 30 Dec 2019