Title
Pushing the boundaries of parallel Deep Learning -- A practical approach Paolo Viviani M. Drocco Marco Aldinucci OOD 36 0 0 25 Jun 2018
The Temporal Singularity: time-accelerated simulated civilizations and their implications G. Spigler 3DGS AI4CE 9 1 0 22 Jun 2018
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices Thomas B. Preußer Giulio Gambardella Nicholas J. Fraser Michaela Blott MQ 32 41 0 21 Jun 2018
Rethinking Machine Learning Development and Deployment for Edge Devices Liangzhen Lai Naveen Suda 11 10 0 20 Jun 2018
Forest Packing: Fast, Parallel Decision Forests J. Browne Tyler M. Tomita Disa Mhembere Randal C. Burns Joshua T. Vogelstein 17 16 0 19 Jun 2018
Continuous-variable quantum neural networks N. Killoran T. Bromley J. M. Arrazola Maria Schuld N. Quesada S. Lloyd GNN 9 351 0 18 Jun 2018
Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping Daejin Jung Sunjung Lee Wonjong Rhee Jung Ho Ahn 22 8 0 18 Jun 2018
Resource-Efficient Neural Architect Yanqi Zhou S. Ebrahimi Sercan Ö. Arik Haonan Yu Hairong Liu G. Diamos 22 64 0 12 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking Haichuan Yang Yuhao Zhu Ji Liu CVBM 19 36 0 12 Jun 2018
Smallify: Learning Network Size while Training Guillaume Leclerc Manasi Vartak Raul Castro Fernandez Tim Kraska Samuel Madden 14 13 0 10 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark Cody Coleman Daniel Kang Deepak Narayanan Luigi Nardi Tian Zhao Jian Zhang Peter Bailis K. Olukotun Christopher Ré Matei A. Zaharia 13 117 0 04 Jun 2018
Between Progress and Potential Impact of AI: the Neglected Dimensions Fernando Martínez-Plumed S. Avin Miles Brundage Allan Dafoe Seán Ó hÉigeartaigh José Hernández-Orallo 33 3 0 02 Jun 2018
Training LSTM Networks with Resistive Cross-Point Devices Tayfun Gokmen Malte J. Rasch W. Haensch 8 45 0 01 Jun 2018
Interpreting Deep Learning: The Machine Learning Rorschach Test? Adam S. Charles AAML HAI AI4CE 24 9 0 01 Jun 2018
Channel Gating Neural Networks Weizhe Hua Yuan Zhou Christopher De Sa Zhiru Zhang G. E. Suh 15 180 0 29 May 2018
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 27 44 0 22 May 2018
Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit Seyed Hamed Fatemi Langroudi Tej Pandit Dhireesha Kudithipudi MQ 19 41 0 22 May 2018
Scanner: Efficient Video Analysis at Scale Alex Poms Will Crichton Pat Hanrahan Kayvon Fatahalian 24 57 0 18 May 2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks Wenshuo Li Jincheng Yu Xuefei Ning Pengjun Wang Qi Wei Yu Wang Huazhong Yang AAML 39 61 0 14 May 2018
An $O(N)$ Sorting Algorithm: Machine Learning Sort Hanqing Zhao Yuehan Luo 13 2 0 11 May 2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks Amir Yazdanbakhsh Hajar Falahati Philip J. Wolfe K. Samadi N. Kim H. Esmaeilzadeh 30 71 0 10 May 2018
Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks Charles Eckert Xiaowei Wang Jingcheng Wang Arun K. Subramaniyan R. Iyer D. Sylvester D. Blaauw R. Das MQ 13 334 0 09 May 2018
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach Using MAESTRO Hyoukjun Kwon Prasanth Chatarasi Michael Pellauer A. Parashar Vivek Sarkar T. Krishna 19 10 0 04 May 2018
Dynamic Control Flow in Large-Scale Machine Learning Yuan Yu Martín Abadi P. Barham E. Brevdo M. Burrows ... Michael Isard M. Kudlur R. Monga D. Murray Xiaoqiang Zheng AI4CE 30 106 0 04 May 2018
Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications Baohua Sun L. Yang Patrick Dong Wenhan Zhang Jason Dong Charles Young 39 34 0 30 Apr 2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation Mengzhao Chen Orhan Firat Ankur Bapna Melvin Johnson Wolfgang Macherey ... Niki Parmar M. Schuster Zhifeng Chen Yonghui Wu Macduff Hughes AIMat 21 457 0 26 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks Eunhyeok Park S. Yoo Peter Vajda MQ 14 158 0 20 Apr 2018
Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications K. Kwon Alon Amid A. Gholami Bichen Wu Krste Asanović Kurt Keutzer 3DV OOD 24 22 0 20 Apr 2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition Kartik Hegde Jiyong Yu R. Agrawal Mengjia Yan Michael Pellauer Christopher W. Fletcher 22 165 0 18 Apr 2018
Mage: Online Interference-Aware Scheduling in Multi-Scale Heterogeneous Systems Francisco Romero Christina Delimitrou 29 2 0 17 Apr 2018
DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing A. Delmas Sayeh Sharify Patrick Judd Kevin Siu Milos Nikolic Andreas Moshovos MQ 24 3 0 17 Apr 2018
Training DNNs with Hybrid Block Floating Point M. Drumond Tao R. Lin Martin Jaggi Babak Falsafi 25 95 0 04 Apr 2018
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision Yuhao Zhu A. Samajdar Matthew Mattina P. Whatmough 32 87 0 29 Mar 2018
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs Caiwen Ding Ao Ren Geng Yuan Xiaolong Ma Jiayu Li Ning Liu Bo Yuan Yanzhi Wang 20 23 0 28 Mar 2018
Latency and Throughput Characterization of Convolutional Neural Networks for Mobile Computer Vision Jussi Hanhirova Teemu Kämäräinen S. Seppälä M. Siekkinen V. Hirvisalo Antti Ylä-Jääski 26 90 0 26 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 22 295 0 23 Mar 2018
A neural network memory prefetcher using semantic locality L. Peled U. Weiser Yoav Etsion 6 41 0 19 Mar 2018
EVA $^2$ : Exploiting Temporal Redundancy in Live Computer Vision Mark Buckler Philip Bedoukian Suren Jayasuriya Adrian Sampson 39 75 0 16 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 25 80 0 16 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 19 184 0 15 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 13 503 0 13 Mar 2018
CuLDA_CGS: Solving Large-scale LDA Problems on GPUs Xiaolong Xie Yun Liang Xiuhong Li Wei Tan 16 8 0 13 Mar 2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches Yeming Wen Paul Vicol Jimmy Ba Dustin Tran Roger C. Grosse BDL 22 307 0 12 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 45 1,306 0 12 Mar 2018
NVIDIA Tensor Core Programmability, Performance & Precision Stefano Markidis Steven W. D. Chien Erwin Laure Ivy Bo Peng Jeffrey S. Vetter 6 366 0 11 Mar 2018
Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS Sahithi Rampalli N. Sehgal Ishita Bindlish Tanya Tyagi Pawan Kumar 27 4 0 10 Mar 2018
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How A. Delmas Patrick Judd Dylan Malone Stuart Zissis Poulos Mostafa Mahmoud Sayeh Sharify Milos Nikolic Andreas Moshovos 24 24 0 09 Mar 2018
Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow Shaowei Jiang K. Guo Jun Liao G. Zheng 16 95 0 09 Mar 2018
High-Accuracy Low-Precision Training Christopher De Sa Megan Leszczynski Jian Zhang Alana Marzoev Christopher R. Aberger K. Olukotun Christopher Ré 21 109 0 09 Mar 2018
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine Renzo Andri Lukas Cavigelli D. Rossi Luca Benini MQ 24 19 0 05 Mar 2018