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Quantifying the Carbon Emissions of Machine Learning

21 October 2019

Papers citing "Quantifying the Carbon Emissions of Machine Learning"

41 / 441 papers shown

Title
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Shucheng Zhou FaML 360 252 0 12 Jul 2021
Energy Consumption of Deep Generative Audio Models Constance Douwes P. Esling Jean-Pierre Briot MedIm 163 14 0 06 Jul 2021
The MultiBERTs: BERT Reproductions for Robustness AnalysisInternational Conference on Learning Representations (ICLR), 2021 Thibault Sellam Steve Yadlowsky Jason W. Wei Naomi Saphra Alexander DÁmour ... Iulia Turc Jacob Eisenstein Dipanjan Das Ian Tenney Ellie Pavlick 305 100 0 30 Jun 2021
On Contrastive Representations of Stochastic ProcessesNeural Information Processing Systems (NeurIPS), 2021 Emile Mathieu Adam Foster Yee Whye Teh BDL AI4TS 127 15 0 18 Jun 2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings Eugene Vinitsky Raphael Köster J. Agapiou Edgar A. Duénez-Guzmán A. Vezhnevets Joel Z Leibo 276 46 0 16 Jun 2021
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness Adam Foster Árpi Vezér C. A. Glastonbury Páidí Creed Sam Abujudeh Aaron Sim FaML 189 7 0 15 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2021 Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 219 100 0 14 Jun 2021
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision QuantizationAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2021 Santiago Miret Vui Seng Chua Mattias Marder Mariano Phielipp Nilesh Jain Somdeb Majumdar 136 10 0 14 Jun 2021
Graph Neural Networks with Local Graph ParametersNeural Information Processing Systems (NeurIPS), 2021 Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 145 78 0 12 Jun 2021
Supervising the Transfer of Reasoning Patterns in VQANeural Information Processing Systems (NeurIPS), 2021 Corentin Kervadec Christian Wolf G. Antipov M. Baccouche Madiha Nadri Wolf 154 11 0 10 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via MetalearningNeural Information Processing Systems (NeurIPS), 2021 J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 278 42 0 09 Jun 2021
Densely connected normalizing flowsNeural Information Processing Systems (NeurIPS), 2021 Matej Grcić Ivan Grubišić Sinisa Segvic TPM 286 64 0 08 Jun 2021
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNsInternational Conference of the Italian Association for Artificial Intelligence (AIxIA), 2021 A. Badar Arnav Varma Adrian Staniec Mahmoud Gamal Omar Magdy Haris Iqbal Elahe Arani Bahram Zonooz 256 9 0 06 Jun 2021
How to Adapt Your Pretrained Multilingual Model to 1600 LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Abteen Ebrahimi Katharina Kann LRM VLM 241 76 0 03 Jun 2021
TABBIE: Pretrained Representations of Tabular DataNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 H. Iida Dung Ngoc Thai Varun Manjunatha Mohit Iyyer LMTD SSL VLM 174 206 0 06 May 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 681 880 0 21 Apr 2021
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Abteen Ebrahimi Manuel Mager Arturo Oncevay Vishrav Chaudhary Luis Chiruzzo ... Graham Neubig Alexis Palmer Rolando A. Coto Solano Ngoc Thang Vu Katharina Kann 260 80 0 18 Apr 2021
Robust Embeddings Via Distributions Kira A. Selby Yinong Wang Ruizhe Wang Peyman Passban Ahmad Rashid Mehdi Rezagholizadeh Pascal Poupart OOD 114 3 0 17 Apr 2021
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal MediaConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Grace Luo Trevor Darrell Anna Rohrbach 220 119 0 13 Apr 2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation Jérémie Laydevant M. Ernoult D. Querlioz Julie Grollier 149 19 0 16 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspectiveSN Computer Science (SN Comput. Sci.), 2021 Andrea Asperti David Evangelista E. Loli Piccolomini DRL 173 66 0 01 Mar 2021
Data augmentation and image understanding Alex Hernandez-Garcia 134 6 0 28 Dec 2020
Analyzing Sustainability Reports Using Natural Language Processing A. Luccioni Emi Baylor N. Duchêne 123 52 0 03 Nov 2020
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction Seyone Chithrananda Gabriel Grand Bharath Ramsundar AI4CE 427 562 0 19 Oct 2020
TopicBERT for Energy Efficient Document Classification Yatin Chaudhary Pankaj Gupta Khushbu Saxena Vivek Kulkarni Thomas Runkler Hinrich Schütze 136 21 0 15 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 347 97 0 13 Oct 2020
Synbols: Probing Learning Algorithms with Synthetic DatasetsNeural Information Processing Systems (NeurIPS), 2020 Alexandre Lacoste Pau Rodríguez Frederic Branchaud-Charron Parmida Atighehchian Massimo Caccia I. Laradji Alexandre Drouin Matt Craddock Laurent Charlin David Vázquez 180 14 0 14 Sep 2020
Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19Machine Learning and Knowledge Extraction (MLKE), 2020 O. Gencoglu 160 27 0 02 Aug 2020
Improving compute efficacy frontiers with SliceOut Pascal Notin Aidan Gomez Joanna Yoo Y. Gal 153 1 0 21 Jul 2020
Green Algorithms: Quantifying the carbon footprint of computation Loïc Lannelongue Jason Grealey Michael Inouye 159 20 0 15 Jul 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 289 372 0 06 Jul 2020
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations Mahmoud Assran Nicolas Ballas Lluis Castrejon Michael G. Rabbat SSL 109 3 0 18 Jun 2020
SECure: A Social and Environmental Certificate for AI Systems Abhishek Gupta Camylle Lanteigne Sara Kingsley 98 14 0 11 Jun 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks S. J. Hong Martín Arjovsky Darryl Barnhart Ian Thompson 122 8 0 09 Jun 2020
Sponge Examples: Energy-Latency Attacks on Neural Networks Ilia Shumailov Yiren Zhao Daniel Bates Nicolas Papernot Robert D. Mullins Ross J. Anderson SILM 207 155 0 05 Jun 2020
Stage-Wise Neural Architecture Search Artur Jordão Fernando Akio M. Lie William Robson Schwartz 105 0 0 23 Apr 2020
Embedding Propagation: Smoother Manifold for Few-Shot ClassificationEuropean Conference on Computer Vision (ECCV), 2020 Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 202 205 0 09 Mar 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 266 565 0 31 Jan 2020
MDP Playground: An Analysis and Debug Testbed for Reinforcement LearningJournal of Artificial Intelligence Research (JAIR), 2019 Raghunandan Rajan Jessica Lizeth Borja Diaz Suresh Guttikonda Fabio Ferreira André Biedenkapp Jan Ole von Hartz Katharina Eggensperger 343 6 0 17 Sep 2019
Tackling Climate Change with Machine LearningACM Computing Surveys (ACM CSUR), 2019 David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 314 956 0 10 Jun 2019
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 225 156 0 11 Jun 2018