Quantifying the Carbon Emissions of Machine Learning

21 October 2019

Papers citing "Quantifying the Carbon Emissions of Machine Learning"

45 / 145 papers shown

Title
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 26 60 0 31 Mar 2022
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations Anuroop Sriram Abhishek Das Brandon M. Wood Siddharth Goyal C. L. Zitnick AI4CE 33 27 0 18 Mar 2022
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis Raghavendra Selvan N. Bhagwat Lasse F. Wolff Anthony Benjamin Kanding Erik Dam 36 24 0 04 Mar 2022
E-CIR: Event-Enhanced Continuous Intensity Recovery Chenglong Song Qi-Xing Huang Minh Nguyen 37 32 0 03 Mar 2022
Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies Zhengxuan Wu Alex Tamkin Isabel Papadimitriou 21 10 0 24 Feb 2022
Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals Thilo Hagendorff L. Bossert Yip Fai Tse P. Singer FaML 28 40 0 22 Feb 2022
Generalisation and the Risk--Entropy Curve Dominic Belcher Antonia Marcu Adam Prugel-Bennett 21 0 0 15 Feb 2022
A Survey on Model Compression and Acceleration for Pretrained Language Models Canwen Xu Julian McAuley 28 58 0 15 Feb 2022
The Ecological Footprint of Neural Machine Translation Systems D. Shterionov Eva Vanmassenhove 40 3 0 04 Feb 2022
Accelerated Quality-Diversity through Massive Parallelism Bryan Lim Maxime Allard Luca Grillotti Antoine Cully 29 16 0 02 Feb 2022
Benchmarking Resource Usage for Efficient Distributed Deep Learning Nathan C. Frey Baolin Li Joseph McDonald Dan Zhao Michael Jones David Bestor Devesh Tiwari V. Gadepally S. Samsi 35 9 0 28 Jan 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation Vincent Mai Kaustubh Mani Liam Paull 38 34 0 05 Jan 2022
Efficient Large Scale Language Modeling with Mixtures of Experts Mikel Artetxe Shruti Bhosale Naman Goyal Todor Mihaylov Myle Ott ... Jeff Wang Luke Zettlemoyer Mona T. Diab Zornitsa Kozareva Ves Stoyanov MoE 61 188 0 20 Dec 2021
Learning Rich Representation of Keyphrases from Text Mayank Kulkarni Debanjan Mahata Ravneet Arora Rajarshi Bhowmik VLM 27 65 0 16 Dec 2021
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation Binxu Wang David Mayo Arturo Deza Andrei Barbu C. Conwell 37 12 0 14 Dec 2021
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation Duolikun Danier Fan Zhang David Bull 35 46 0 30 Nov 2021
Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture Daria Bakshandaeva Denis Dimitrov V.Ya. Arkhipkin Alex Shonenkov M. Potanin ... Mikhail Martynov Anton Voronov Vera Davydova E. Tutubalina Aleksandr Petiushko 40 0 0 22 Nov 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods Desi R. Ivanova Adam Foster Steven Kleinegesse Michael U. Gutmann Tom Rainforth OffRL 21 46 0 03 Nov 2021
Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Anne-Laure Ligozat J. Lefèvre Aurélie Bugeau Jacques Combaz 29 94 0 22 Oct 2021
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z Leibo 47 7 0 21 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight Architectures Prathamesh Sonawane Sparsh Drolia Saqib Nizam Shamsi Bhargav Jain SSL 17 1 0 21 Oct 2021
Retrieval-guided Counterfactual Generation for QA Bhargavi Paranjape Matthew Lamm Ian Tenney 38 31 0 14 Oct 2021
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions Eleonora Grassucci Aston Zhang Danilo Comminiello 28 38 0 08 Oct 2021
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods Victor Schmidt A. Luccioni Mélisande Teng Tianyu Zhang Alexia Reynaud ... Gautier Cosne Adrien Juraver V. Vardanyan Alex Hernandez-Garcia Yoshua Bengio GAN AI4CE 28 18 0 06 Oct 2021
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis Benjamin Attal Eliot Laidlaw Aaron Gokaslan Changil Kim Christian Richardt James Tompkin Matthew O'Toole 21 109 0 30 Sep 2021
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI? Roger Creus Castanyer Silverio Martínez-Fernández Xavier Franch 46 11 0 28 Sep 2021
AVATAR: A Parallel Corpus for Java-Python Program Translation W. Ahmad Md Golam Rahman Tushar Saikat Chakraborty Kai-Wei Chang 40 79 0 26 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
The MultiBERTs: BERT Reproductions for Robustness Analysis Thibault Sellam Steve Yadlowsky Jason W. Wei Naomi Saphra Alexander DÁmour ... Iulia Turc Jacob Eisenstein Dipanjan Das Ian Tenney Ellie Pavlick 24 93 0 30 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 32 37 0 16 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 24 78 0 14 Jun 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 24 65 0 12 Jun 2021
Supervising the Transfer of Reasoning Patterns in VQA Corentin Kervadec Christian Wolf G. Antipov M. Baccouche Madiha Nadri Wolf 30 10 0 10 Jun 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 34 37 0 09 Jun 2021
TABBIE: Pretrained Representations of Tabular Data H. Iida Dung Ngoc Thai Varun Manjunatha Mohit Iyyer LMTD SSL VLM 25 170 0 06 May 2021
Robust Embeddings Via Distributions Kira A. Selby Yinong Wang Ruizhe Wang Peyman Passban Ahmad Rashid Mehdi Rezagholizadeh Pascal Poupart OOD 32 3 0 17 Apr 2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation Jérémie Laydevant M. Ernoult D. Querlioz Julie Grollier 26 16 0 16 Mar 2021
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction Seyone Chithrananda Gabriel Grand Bharath Ramsundar AI4CE 37 389 0 19 Oct 2020
TopicBERT for Energy Efficient Document Classification Yatin Chaudhary Pankaj Gupta Khushbu Saxena Vivek Kulkarni Thomas Runkler Hinrich Schütze 13 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 23 80 0 13 Oct 2020
Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19 O. Gencoglu 13 27 0 02 Aug 2020
Sponge Examples: Energy-Latency Attacks on Neural Networks Ilia Shumailov Yiren Zhao Daniel Bates Nicolas Papernot Robert D. Mullins Ross J. Anderson SILM 19 127 0 05 Jun 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 4 192 0 09 Mar 2020
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 35 786 0 10 Jun 2019
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 32 141 0 11 Jun 2018