Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities

13 October 2022

Papers citing "Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities"

28 / 28 papers shown

Title
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 48 0 0 08 Feb 2024
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 18 15 0 05 Sep 2023
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers Tobias Christian Nauen Sebastián M. Palacio Federico Raue Andreas Dengel 35 3 0 18 Aug 2023
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models Jean Kaddour Oscar Key Piotr Nawrot Pasquale Minervini Matt J. Kusner 13 41 0 12 Jul 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic R. Waleffe Vasilis Mageirakos Konstantinos E. Nikolakakis Amin Karbasi Dionysis Kalogerias Nezihe Merve Gürel Theodoros Rekatsinas DD 22 12 0 28 May 2023
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 30 27 0 20 Sep 2022
On Learning the Transformer Kernel Sankalan Pal Chowdhury Adamos Solomou Kumar Avinava Dubey Mrinmaya Sachan ViT 28 14 0 15 Oct 2021
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Joey Tianyi Zhou Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 102 132 0 07 Oct 2021
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping James Martens Andy Ballard Guillaume Desjardins G. Swirszcz Valentin Dalibard Jascha Narain Sohl-Dickstein S. Schoenholz 83 43 0 05 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 201 477 0 01 Oct 2021
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 83 149 0 17 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 242 690 0 27 Aug 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 239 626 0 21 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention Irwan Bello 260 178 0 17 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 510 0 11 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 136 679 0 31 Jan 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 267 955 0 27 Jan 2021
Clairvoyant Prefetching for Distributed Machine Learning I/O Nikoli Dryden Roman Böhringer Tal Ben-Nun Torsten Hoefler 29 55 0 21 Jan 2021
ZeRO-Offload: Democratizing Billion-Scale Model Training Jie Ren Samyam Rajbhandari Reza Yazdani Aminabadi Olatunji Ruwase Shuangyang Yang Minjia Zhang Dong Li Yuxiong He MoE 160 399 0 18 Jan 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 117 1,484 0 11 Jan 2021
On the Transformer Growth for Progressive BERT Training Xiaotao Gu Liyuan Liu Hongkun Yu Jing Li C. L. P. Chen Jiawei Han VLM 61 49 0 23 Oct 2020
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 220 94 0 08 May 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 178 1,018 0 06 Mar 2020
Pre-Defined Sparse Neural Networks with Hardware Acceleration Sourya Dey Kuan-Wen Huang P. Beerel K. Chugg 28 24 0 04 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016