Green Learning: Introduction, Examples and Outlook

3 October 2022

Papers citing "Green Learning: Introduction, Examples and Outlook"

15 / 15 papers shown

Title
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 44 2 0 20 Feb 2024
A Tiny Machine Learning Model for Point Cloud Object Classification M. Zhang Jintang Xue Pranav Kadam Hardik Prajapati Shan Liu C.-C. Jay Kuo 3DPC 39 1 0 20 Mar 2023
An Overview on Language Models: Recent Developments and Outlook Chengwei Wei Yun Cheng Wang Bin Wang C.-C. Jay Kuo 25 42 0 10 Mar 2023
SALVE: Self-supervised Adaptive Low-light Video Enhancement Zohreh Azizi Ct Kuo 27 4 0 22 Dec 2022
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence Y. Ma Doris Y. Tsao H. Shum 67 75 0 11 Jul 2022
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 73 83 0 08 Nov 2021
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector Yao Zhu Xinyu Wang Hong-Shuo Chen Ronald Salloum C.-C. Jay Kuo 27 17 0 07 Nov 2021
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds Min Zhang Pranav Kadam Shan Liu C.-C. Jay Kuo 3DPC 36 17 0 24 Sep 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 84 191 0 26 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,430 0 04 Jan 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 140 1,046 0 27 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 258 36,371 0 25 Aug 2016