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Results
Found 173 publication records. Showing 173 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Tiezhen Wang, Pete Warden, Rocky Rhodes |
TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems.  |
MLSys  |
2021 |
DBLP BibTeX RDF |
|
| 1 | Samuel J. Kaufman, Phitchaya Mangpo Phothilimthana, Yanqi Zhou, Charith Mendis, Sudip Roy 0002, Amit Sabne, Mike Burrows |
A Learned Performance Model for Tensor Processing Units. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ettore M. G. Trainiti, Thanapon Noraset, David Demeter, Doug Downey, Simone Campanoni |
CODE: Compiler-based Neuron-aware Ensemble training. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi, Tianju Xu, Vadim Eksarevskiy, Jaliya Ekanayake, Emad Barsoum |
Scaling Distributed Training with Adaptive Summation. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Eyal Cidon, Evgenya Pergament, Zain Asgar, Asaf Cidon, Sachin Katti |
Characterizing and Taming Model Instability Across Edge Devices. |
MLSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Mike Innes |
Sense & Sensitivities: The Path to General-Purpose Algorithmic Differentiation. |
MLSys |
2020 |
DBLP BibTeX RDF |
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| 1 | Shang Wang 0002, Yifan Bai, Gennady Pekhimenko |
BPPSA: Scaling Back-propagation by Parallel Scan Algorithm. |
MLSys |
2020 |
DBLP BibTeX RDF |
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| 1 | Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson 0001, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks 0001, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia |
MLPerf Training Benchmark. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Hui Guan 0001, Laxmikant Kishor Mokadam, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton |
FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks. |
MLSys |
2020 |
DBLP BibTeX RDF |
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| 1 | Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Jonathan Ben-tzur, Moritz Hardt, Benjamin Recht, Ameet Talwalkar |
A System for Massively Parallel Hyperparameter Tuning. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Peifeng Yu, Mosharaf Chowdhury |
Fine-Grained GPU Sharing Primitives for Deep Learning Applications. |
MLSys |
2020 |
DBLP BibTeX RDF |
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| 1 | Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee, Jorgen Thelin, Nikhil R. Devanur, Ion Stoica |
Blink: Fast and Generic Collectives for Distributed ML. |
MLSys |
2020 |
DBLP BibTeX RDF |
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| 1 | Junki Park, Hyunsung Yoon, Daehyun Ahn, Jungwook Choi, Jae-Joon Kim |
OPTIMUS: OPTImized matrix MUltiplication Structure for Transformer neural network accelerator. |
MLSys |
2020 |
DBLP BibTeX RDF |
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| 1 | Beidi Chen, Tharun Medini, James Farwell, Sameh Gobriel, Tsung-Yuan Charlie Tai, Anshumali Shrivastava |
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Hanson Wang, Zehui Wang, Yuanyuan Ma |
Predictive Precompute with Recurrent Neural Networks. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson 0001 |
PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia |
Model Assertions for Monitoring and Improving ML Models. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Javier Fernández-Marqués, Paul N. Whatmough, Andrew Mundy, Matthew Mattina |
Searching for Winograd-aware Quantized Networks. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Joshua Fromm, Meghan Cowan, Matthai Philipose, Luis Ceze, Shwetak N. Patel |
Riptide: Fast End-to-End Binarized Neural Networks. |
MLSys |
2020 |
DBLP BibTeX RDF |
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| 1 | Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag |
What is the State of Neural Network Pruning? |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Sivakumar Chidambaram, Pierre Langlois 0001, Jean-Pierre David |
PoET-BiN: Power Efficient Tiny Binary Neurons. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Manuele Rusci, Alessandro Capotondi, Luca Benini |
Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Peter Kraft, Daniel Kang, Deepak Narayanan, Shoumik Palkar, Peter Bailis, Matei Zaharia |
Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Xiaofan Zhang 0001, Haoming Lu, Cong Hao, Jiachen Li 0003, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen |
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Benjamin Livshits |
Privacy-Preserving Bandits. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Megan Leszczynski, Avner May, Jian Zhang 0049, Sen Wu 0002, Christopher R. Aberger, Christopher Ré |
Understanding the Downstream Instability of Word Embeddings. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Inderjit S. Dhillon, Dimitris S. Papailiopoulos, Vivienne Sze (eds.) |
Proceedings of Machine Learning and Systems 2020, MLSys 2020, Austin, TX, USA, March 2-4, 2020 |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Zhihao Jia, Sina Lin, Mingyu Gao 0001, Matei Zaharia, Alex Aiken |
Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yu Wang, Gu-Yeon Wei, David Brooks 0001 |
A Systematic Methodology for Analysis of Deep Learning Hardware and Software Platforms. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous |
Automatically batching control-intensive programs for modern accelerators. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Byung Hoon Ahn, Jinwon Lee, Jamie Menjay Lin, Hsin-Pai Cheng, Jilei Hou, Hadi Esmaeilzadeh |
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Paras Jain 0001, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez 0001 |
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Weijie Zhao 0001, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li 0001 |
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lyu, Zhihua Wu |
MNN: A Universal and Efficient Inference Engine. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Andrew Or, Haoyu Zhang, Michael J. Freedman |
Resource Elasticity in Distributed Deep Learning. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Abdul Wasay, Brian Hentschel, Yuze Liao, Sanyuan Chen, Stratos Idreos |
MotherNets: Rapid Deep Ensemble Learning. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Tian Li 0005, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith |
Federated Optimization in Heterogeneous Networks. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Ameer Haj-Ali, Qijing (Jenny) Huang, William S. Moses, John Xiang, Krste Asanovic, John Wawrzynek, Ion Stoica |
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Sambhav R. Jain, Albert Gural, Michael Wu 0001, Chris Dick |
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Richard Wu, Aoqian Zhang, Ihab F. Ilyas, Theodoros Rekatsinas |
Attention-based Learning for Missing Data Imputation in HoloClean. |
MLSys |
2020 |
DBLP BibTeX RDF |
|
| 1 | Minsik Cho, Ulrich Finkler, David S. Kung 0001, Hillery C. Hunter |
BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Zhihao Jia, Matei Zaharia, Alex Aiken |
Beyond Data and Model Parallelism for Deep Neural Networks. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Hyeontaek Lim, David G. Andersen, Michael Kaminsky |
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Ameet Talwalkar, Virginia Smith, Matei Zaharia (eds.) |
Proceedings of Machine Learning and Systems 2019, MLSys 2019, Stanford, CA, USA, March 31 - April 2, 2019 |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Dan Moldovan, James M. Decker, Fei Wang 0046, Andrew A. Johnson 0002, Brian K. Lee, Zachary Nado, D. Sculley, Tiark Rompf, Alexander B. Wiltschko |
AutoGraph: Imperative-style Coding with Graph-based Performance. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Georgios Damaskinos, El-Mahdi El-Mhamdi, Rachid Guerraoui, Arsany Guirguis, Sébastien Rouault |
AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Eric Breck, Neoklis Polyzotis, Sudip Roy 0002, Steven Whang 0001, Martin Zinkevich |
Data Validation for Machine Learning. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai |
TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander |
Towards Federated Learning at Scale: System Design. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Wonkyung Jung, Daejin Jung, Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn |
Restructuring Batch Normalization to Accelerate CNN Training. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Qi Lei, Lingfei Wu, Pin-Yu Chen, Alex Dimakis, Inderjit S. Dhillon, Michael Witbrock |
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Ting-Wu Chin, Ruizhou Ding, Diana Marculescu |
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich |
Pytorch-BigGraph: A Large Scale Graph Embedding System. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Christopher Canel, Thomas Kim, Giulio Zhou, Conglong Li, Hyeontaek Lim, David G. Andersen, Michael Kaminsky, Subramanya Dulloor |
Scaling Video Analytics on Constrained Edge Nodes. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Maximilian Golub, Guy Lemieux, Mieszko Lis |
Full Deep Neural Network Training On A Pruned Weight Budget. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Paul N. Whatmough, Chuteng Zhou, Patrick Hansen, Shreyas K. Venkataramanaiah, Jae-sun Seo, Matthew Mattina |
FixyNN: Energy-Efficient Real-Time Mobile Computer Vision Hardware Acceleration via Transfer Learning. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko |
Priority-based Parameter Propagation for Distributed DNN Training. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Zhihao Jia, James Thomas 0003, Todd Warszawski, Mingyu Gao 0001, Matei Zaharia, Alex Aiken |
Optimizing DNN Computation with Relaxed Graph Substitutions. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Assaf Eisenman, Maxim Naumov, Darryl Gardner, Misha Smelyanskiy, Sergey Pupyrev, Kim M. Hazelwood, Asaf Cidon, Sachin Katti |
Bandana: Using Non-Volatile Memory for Storing Deep Learning Models. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Siyuan Ma, Mikhail Belkin |
Kernel Machines That Adapt To Gpus For Effective Large Batch Training. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg |
TensorFlow.js: Machine Learning For The Web and Beyond. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Michael Schaarschmidt, Sven Mika, Kai Fricke, Eiko Yoneki |
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Tian Zhao 0001, Yaqi Zhang 0001, Kunle Olukotun |
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez |
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Jianyu Wang, Gauri Joshi |
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sayed Hadi Hashemi, Sangeetha Abdu Jyothi, Roy H. Campbell |
TicTac: Accelerating Distributed Deep Learning with Communication Scheduling. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski, Wentao Wu 0001, Ce Zhang 0001 |
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Huizi Mao, Taeyoung Kong, Bill Dally |
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross Anderson 0001 |
To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Jian Zhang 0049, Ioannis Mitliagkas |
YellowFin and the Art of Momentum Tuning. |
MLSys |
2019 |
DBLP BibTeX RDF |
|
| 1 | Dibakar Gope, Ganesh Dasika, Matthew Mattina |
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Zhuo Wang, Pierce Chuang |
Accurate and Efficient 2-bit Quantized Neural Networks. |
MLSys |
2019 |
DBLP BibTeX RDF |
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| 1 | Miguel Á. Carreira-Perpiñán, Mehdi Alizadeh |
Parmac: Distributed Optimisation Of Nested Functions, With Application To Learning Binary Autoencoders. |
MLSys |
2019 |
DBLP BibTeX RDF |
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