Productivity, Portability, Performance: Data-Centric Python

1 July 2021

Papers citing "Productivity, Portability, Performance: Data-Centric Python"

41 / 41 papers shown

Title
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search Zhaohui Wang Min Zhang Jingran Yang Bojie Shao Min Zhang 46 4 0 31 Dec 2024
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 21 1 0 29 Apr 2024
A shared compilation stack for distributed-memory parallelism in stencil DSLs George Bisbas Anton Lydike Emilien Bauer Nick M. Brown Mathieu Fehr ... Gabriel Rodriguez-Canal Maurice Jamieson Paul H. J. Kelly Michel Steuwer Tobias Grosser 33 4 0 02 Apr 2024
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 26 10 0 15 Oct 2023
Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang Nick M. Brown Maurice Jamieson Anton Lydike Emilien Bauer Tobias Grosser LRM AI4CE 10 2 0 03 Oct 2023
Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs Gabriel Rodriguez-Canal Nick M. Brown Timothy Dykes Jessica R. Jones U. Haus 16 5 0 25 Aug 2023
Bridging Control-Centric and Data-Centric Optimization Tal Ben-Nun Berke Ates A. Calotoiu Torsten Hoefler 23 7 0 01 Jun 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Yisong Xiao Aishan Liu Tianlin Li Xianglong Liu 22 26 0 19 May 2023
Myths and Legends in High-Performance Computing Satoshi Matsuoka Jens Domke M. Wahib Aleksandr Drozd Torsten Hoefler 20 14 0 06 Jan 2023
Python FPGA Programming with Data-Centric Multi-Level Design Johannes de Fine Licht T. De Matteis Tal Ben-Nun Andreas Kuster Oliver Rausch Manuel Burger Carl-Johannes Johnsen Torsten Hoefler 11 1 0 28 Dec 2022
Deinsum: Practically I/O Optimal Multilinear Algebra A. Ziogas Grzegorz Kwa'sniewski Tal Ben-Nun Timo Schneider Torsten Hoefler 16 4 0 16 Jun 2022
Productive Performance Engineering for Weather and Climate Modeling with Python Tal Ben-Nun Linus Groner Florian Deconinck Tobias Wicky Eddie Davis ... Lukas Trumper E. Wu O. Fuhrer T. Schulthess Torsten Hoefler 22 16 0 09 May 2022
Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py Zane Fink Simeng Liu Jaemin Choi M. Diener L. Kalé ELM 19 2 0 08 Nov 2021
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it Viswanath Ganapathy Sauptik Dhar Olimpiya Saha Pelin Kurt Garberson Javad Heydari Mohak Shah 11 1 0 11 Oct 2021
Distributed Deep Learning Using Volunteer Computing-Like Paradigm Medha Atre B. Jha Ashwini Rao 11 11 0 16 Mar 2021
Understanding and Creating Art with AI: Review and Outlook E. Cetinic James She 124 310 0 18 Feb 2021
Significant Otter: Understanding the Role of Biosignals in Communication Fannie Liu Chunjong Park Yu Jiang Tham T. Tsai Laura A. Dabbish Geoff F. Kaufman A. Monroy-Hernández 40 61 0 16 Feb 2021
Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues A. Alam I. Ullah Young-Koo Lee 34 22 0 16 Nov 2020
Video Big Data Analytics in the Cloud: Research Issues and Challenges A. Alam S. Khalid Muhammad Numan Khan Tariq Habib Afridi I. Ullah Young-Koo Lee 10 1 0 05 Nov 2020
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications Bita Hasheminezhad S. Shirzad Nanmiao Wu Patrick Diehl Hannes Schulz Hartmut Kaiser GNN AI4CE 13 4 0 06 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 22 79 0 17 Sep 2020
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction Minchul Shin 11 11 0 14 Jul 2020
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching Junyi Gao Cao Xiao Lucas Glass Jimeng Sun 15 64 0 15 Jun 2020
TNT-KID: Transformer-based Neural Tagger for Keyword Identification Matej Martinc Blaž Škrlj Senja Pollak 16 37 0 20 Mar 2020
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications Chinthaka Gamanayake Lahiru Jayasinghe Benny Kai Kiat Ng Chau Yuen VLM 13 45 0 05 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 146 737 0 02 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 914 0 02 Mar 2020
Toward automatic comparison of visualization techniques: Application to graph visualization L. Giovannangeli Romain Bourqui R. Giot D. Auber GNN 11 25 0 21 Oct 2019
Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics M. Migliorini R. Castellotti L. Canali M. Zanetti 11 6 0 23 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 314 4,203 0 23 Aug 2019
A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning Shihao Ge Haruna Isah F. Zulkernine Shahzad Khan 12 14 0 15 Jul 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 24 324 0 30 May 2019
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 113 158 0 28 Nov 2018
Democratizing Production-Scale Distributed Deep Learning Minghuang Ma Hadi Pouransari Daniel Chao Saurabh N. Adya S. Serrano Yi Qin Dan Gimnicher Dominic Walsh MoE 23 6 0 31 Oct 2018
Gear Training: A new way to implement high-performance model-parallel training Hao Dong Shuai Li D. Xu Yi Ren Di Zhang 11 1 0 11 Jun 2018
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data E. Can Aysu Ezen-Can Fazli Can 34 74 0 08 Jun 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 312 0 30 Oct 2017
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 196 1,367 0 06 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 216 7,923 0 17 Aug 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 195 296 0 15 Oct 2012