Title
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations Ashmita Sampatsing Sophie Vos Emma Beauxis-Aussalet Justus Bogner 104 0 0 12 May 2025
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices Varatheepan Paramanayakam Andreas Karatzas Iraklis Anagnostopoulos Dimitrios Stamoulis 71 1 0 29 Apr 2025
Green Prompting Marta Adamska Daria Smirnova Hamid Nasiri Zhengxin Yu Peter Garraghan 527 1 0 09 Mar 2025
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research Veda C. Storey Wei Thoo Yue J. Leon Zhao Roman Lukyanenko 83 2 0 25 Feb 2025
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends Ian Schneider Hui Xu Stephan Benecke David Patterson Keguo Huang Parthasarathy Ranganathan Cooper Elsworth 154 7 0 01 Feb 2025
The Unbearable Lightness of Prompting: A Critical Reflection on the Environmental Impact of genAI use in Design Education M. Lupetti Elena Cavallin Dave Murray-Rust AI4CE 112 1 0 28 Jan 2025
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning Piotr A. Kowalski Szymon Kucharczyk Jacek Mańdziuk 90 0 0 28 Jan 2025
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training Jared Fernandez Luca Wehrstedt Leonid Shamis Mostafa Elhoushi Kalyan Saladi Yonatan Bisk Emma Strubell Jacob Kahn 535 4 0 20 Nov 2024
Self-calibration for Language Model Quantization and Pruning Miles Williams G. Chrysostomou Nikolaos Aletras MQ 484 0 0 22 Oct 2024
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI Arya Tschand Arun Tejusve Raghunath Rajan S. Idgunji Anirban Ghosh J. Holleman ... Rowan Taubitz Sean Zhan Scott Wasson David Kanter Vijay Janapa Reddi 122 3 0 15 Oct 2024
AI, Climate, and Regulation: From Data Centers to the AI Act Kai Ebert Nicolas Alder Ralf Herbrich Philipp Hacker AI4CE 110 0 0 09 Oct 2024
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference Yejin Lee Anna Y. Sun Basil Hosmer Bilge Acun Can Balioglu ... Ram Pasunuru Scott Yih Sravya Popuri Xing Liu Carole-Jean Wu 148 2 0 30 Sep 2024
Mask in the Mirror: Implicit Sparsification Tom Jacobs R. Burkholz 187 4 0 19 Aug 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 276 22 0 28 Feb 2024
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 110 16 0 05 Sep 2023
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models Pengfei Li Jianyi Yang M. A. Islam Shaolei Ren 199 133 0 06 Apr 2023
Time and the Value of Data E. Valavi Joel Hestness Newsha Ardalani M. Iansiti AIFin 61 20 0 17 Mar 2022
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation Geet Sethi Bilge Acun Niket Agarwal Christos Kozyrakis Caroline Trippel Carole-Jean Wu 90 70 0 25 Jan 2022
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 148 140 0 08 Nov 2021
Ego4D: Around the World in 3,000 Hours of Egocentric Video Kristen Grauman Andrew Westbury Eugene Byrne Zachary Chavis Antonino Furnari ... Mike Zheng Shou Antonio Torralba Lorenzo Torresani Mingfei Yan Jitendra Malik EgoV 410 1,114 0 13 Oct 2021
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative Lucio Dery Paul Michel Ameet Talwalkar Graham Neubig CLL 90 35 0 15 Sep 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 89 87 0 16 Jul 2021
Internet-Augmented Dialogue Generation M. Komeili Kurt Shuster Jason Weston RALM 306 289 0 15 Jul 2021
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization David Eriksson P. Chuang Sam Daulton Peng Xia Akshat Shrivastava Arun Babu Shicong Zhao Ahmed Aly Ganesh Venkatesh Maximilian Balandat BDL 69 16 0 22 Jun 2021
On Large-Cohort Training for Federated Learning Zachary B. Charles Zachary Garrett Zhouyuan Huo Sergei Shmulyian Virginia Smith FedML 77 112 0 15 Jun 2021
Carbon-Aware Computing for Datacenters A. Radovanovic R. Koningstein Ian Schneider Bokan Chen A. Duarte ... Saurav Talukdar E. Mullen Kendal Smith MariEllen Cottman W. Cirne 57 130 0 11 Jun 2021
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale Zhaoxia Deng Deng Jongsoo Park P. T. P. Tang Haixin Liu ... S. Nadathur Changkyu Kim Maxim Naumov S. Naghshineh M. Smelyanskiy 49 11 0 26 May 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 67 153 0 28 Apr 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 341 682 0 21 Apr 2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 Ryan Turner David Eriksson M. McCourt J. Kiili Eero Laaksonen Zhen Xu Isabelle M Guyon BDL 76 303 0 20 Apr 2021
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning Samyam Rajbhandari Olatunji Ruwase Jeff Rasley Shaden Smith Yuxiong He GNN 93 390 0 16 Apr 2021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models Dheevatsa Mudigere Y. Hao Jianyu Huang Zhihao Jia Andrew Tulloch ... Ajit Mathews Lin Qiao M. Smelyanskiy Bill Jia Vijay Rao 81 154 0 12 Apr 2021
Dynabench: Rethinking Benchmarking in NLP Douwe Kiela Max Bartolo Yixin Nie Divyansh Kaushik Atticus Geiger ... Pontus Stenetorp Robin Jia Joey Tianyi Zhou Christopher Potts Adina Williams 210 410 0 07 Apr 2021
RetrievalFuse: Neural 3D Scene Reconstruction with a Database Yawar Siddiqui Justus Thies Fangchang Ma Qi Shan Matthias Nießner Pawan Goyal 3DV 68 37 0 31 Mar 2021
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective Wuyang Chen Xinyu Gong Zhangyang Wang OOD 142 239 0 23 Feb 2021
Silent Data Corruptions at Scale H. Dixit S. Pendharkar Matt Beadon Chris Mason Tejasvi Chakravarthy Bharath Muthiah Sriram Sankar 44 144 0 22 Feb 2021
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference Mark Wilkening Udit Gupta Samuel Hsia Caroline Trippel Carole-Jean Wu David Brooks Gu-Yeon Wei 64 116 0 29 Jan 2021
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models Chunxing Yin Bilge Acun Xing Liu Carole-Jean Wu 96 106 0 25 Jan 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity W. Fedus Barret Zoph Noam M. Shazeer MoE 93 2,234 0 11 Jan 2021
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale Bilge Acun Matthew Murphy Xiaodong Wang Jade Nie Carole-Jean Wu K. Hazelwood 83 113 0 11 Nov 2020
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery Kiwan Maeng Shivam Bharuka Isabel Gao M. C. Jeffrey V. Saraph ... Caroline Trippel Jiyan Yang Michael G. Rabbat Brandon Lucia Carole-Jean Wu OffRL 72 33 0 05 Nov 2020
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference Michael Lui Yavuz Yetim Özgür Özkan Zhuoran Zhao Shin-Yeh Tsai Carole-Jean Wu Mark Hempstead GNN BDL LRM 76 52 0 04 Nov 2020
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 106 72 0 21 Oct 2020
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage C. L. Zitnick L. Chanussot Abhishek Das Siddharth Goyal Javier Heras-Domingo ... Kevin Tran Brandon M. Wood Junwoong Yoon Devi Parikh Zachary W. Ulissi 66 75 0 14 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 57 81 0 13 Oct 2020
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction Qingquan Song Dehua Cheng Hanning Zhou Jiyan Yang Yuandong Tian X. Hu 3DV 70 87 0 29 Jun 2020
Neural Architecture Search without Training J. Mellor Jack Turner Amos Storkey Elliot J. Crowley 68 384 0 08 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 135 681 0 01 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 905 42,520 0 28 May 2020
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 284 97 0 08 May 2020