FFCV: Accelerating Training by Removing Data Bottlenecks

21 June 2023

Papers citing "FFCV: Accelerating Training by Removing Data Bottlenecks"

50 / 51 papers shown

Title
Evolutionary Prediction Games Eden Saig Nir Rosenfeld 52 0 0 05 Mar 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation Tiansheng Wen Yifei Wang Zequn Zeng Zhong Peng Yudi Su Xinyang Liu Bo Chen Hongwei Liu Stefanie Jegelka Chenyu You CLL 66 3 0 03 Mar 2025
Model-agnostic Coreset Selection via LLM-based Concept Bottlenecks Akshay Mehra Trisha Mittal Subhadra Gopalakrishnan Joshua Kimball 45 0 0 23 Feb 2025
LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Information Ke Wang Hong Xuan VLM 67 2 0 11 Dec 2024
FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation Yuechun Gu Jiajie He Keke Chen 21 0 0 30 Oct 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD Dmitrii Avdiukhin Michael Dinitz Chenglin Fan G. Yaroslavtsev 34 0 0 09 Oct 2024
MatMamba: A Matryoshka State Space Model Abhinav Shukla Sai H. Vemprala Aditya Kusupati Ashish Kapoor Mamba 28 0 0 09 Oct 2024
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates Cabrel Teguemne Fokam Khaleelulla Khan Nazeer Lukas König David Kappel Anand Subramoney 28 0 0 08 Oct 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data Rahul Ramesh Anthony Bisulco Ronald W. DiTullio Linran Wei Vijay Balasubramanian Kostas Daniilidis Pratik Chaudhari 41 2 0 18 Jul 2024
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations Reza Akbarian Bafghi Nidhin Harilal C. Monteleoni M. Raissi DiffM 38 0 0 18 Jun 2024
Towards Scalable and Versatile Weight Space Learning Konstantin Schurholt Michael W. Mahoney Damian Borth 50 15 0 14 Jun 2024
Cyclic Sparse Training: Is it Enough? Advait Gadhikar Sree Harsha Nelaturu R. Burkholz CLL 40 0 0 04 Jun 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim Moe Putterman Robin Walters Haggai Maron Stefanie Jegelka 43 5 0 30 May 2024
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception Shuangpeng Han Ziyu Wang Mengmi Zhang 28 0 0 26 May 2024
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models Florent Guépin Natasa Krco Matthieu Meeus Yves-Alexandre de Montjoye 36 1 0 24 May 2024
A Perspective on Deep Vision Performance with Standard Image and Video Codecs Christoph Reich Oliver Hahn Daniel Cremers Stefan Roth Biplob K. Debnath 36 1 0 18 Apr 2024
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey Noah Lewis J. L. Bez Suren Byna 54 0 0 16 Apr 2024
Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining Xiang Chen Jinshan Pan Jiangxin Dong AI4CE 38 23 0 02 Apr 2024
DailyMAE: Towards Pretraining Masked Autoencoders in One Day Jiantao Wu Shentong Mo Sara Atito Zhenhua Feng Josef Kittler Muhammad Awais 35 3 0 31 Mar 2024
94% on CIFAR-10 in 3.29 Seconds on a Single GPU Keller Jordan VLM 29 5 0 30 Mar 2024
Do Deep Neural Network Solutions Form a Star Domain? Ankit Sonthalia Alexander Rubinstein Ehsan Abbasnejad Seong Joon Oh MoMe 433 2 5 12 Mar 2024
Structurally Prune Anything: Any Architecture, Any Framework, Any Time Xun Wang John Rachwan Stephan Günnemann Bertrand Charpentier 33 4 0 03 Mar 2024
Vision Transformers with Natural Language Semantics Young-Kyung Kim Matías Di Martino Guillermo Sapiro ViT 23 5 0 27 Feb 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods Akira Ito Masanori Yamada Atsutoshi Kumagai MoMe 61 5 0 06 Feb 2024
Disentangling Linear Mode-Connectivity Gul Sena Altintas Gregor Bachmann Lorenzo Noci Thomas Hofmann 28 6 0 15 Dec 2023
Understanding the Detrimental Class-level Effects of Data Augmentation Polina Kirichenko Mark Ibrahim Randall Balestriero Diane Bouchacourt Ramakrishna Vedantam Hamed Firooz Andrew Gordon Wilson 42 12 0 07 Dec 2023
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 34 31 0 07 Dec 2023
Optimal Sample Complexity of Contrastive Learning Noga Alon Dmitrii Avdiukhin Dor Elboim Orr Fischer G. Yaroslavtsev SSL 24 5 0 01 Dec 2023
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation Lukas Tuggener Thilo Stadelmann Jürgen Schmidhuber OOD 21 1 0 14 Nov 2023
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training Sotiris Anagnostidis Gregor Bachmann Imanol Schlag Thomas Hofmann 33 2 0 06 Nov 2023
A Simple and Efficient Baseline for Data Attribution on Images Vasu Singla Pedro Sandoval-Segura Micah Goldblum Jonas Geiping Tom Goldstein FAtt 33 3 0 03 Nov 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model Karsten Roth Lukas Thede Almut Sophia Koepke Oriol Vinyals Olivier J. Hénaff Zeynep Akata AAML 22 11 0 26 Oct 2023
A Quadratic Synchronization Rule for Distributed Deep Learning Xinran Gu Kaifeng Lyu Sanjeev Arora Jingzhao Zhang Longbo Huang 54 1 0 22 Oct 2023
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining Kecen Li Chen Gong Zhixiang Li Yuzhong Zhao Xinwen Hou Tianhao Wang 33 10 0 19 Oct 2023
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration Ziqi Wen Tianqin Li Zhi Jing Tai Sing Lee OOD 25 0 0 11 Oct 2023
Attributing Learned Concepts in Neural Networks to Training Data N. Konz Charles Godfrey Madelyn Shapiro Jonathan Tu Henry Kvinge Davis Brown TDI FAtt 12 0 0 04 Oct 2023
Scaling MLPs: A Tale of Inductive Bias Gregor Bachmann Sotiris Anagnostidis Thomas Hofmann 32 38 0 23 Jun 2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture Mehraveh Javan Matthew Toews M. Pedersoli 31 1 0 21 Jun 2023
Error Feedback Can Accurately Compress Preconditioners Ionut-Vlad Modoranu A. Kalinov Eldar Kurtic Elias Frantar Dan Alistarh ODL 14 4 0 09 Jun 2023
Synaptic Weight Distributions Depend on the Geometry of Plasticity Roman Pogodin Jonathan H. Cornford Arna Ghosh Gauthier Gidel Guillaume Lajoie Blake A. Richards 23 4 0 30 May 2023
SING: A Plug-and-Play DNN Learning Technique Adrien Courtois Damien Scieur Jean-Michel Morel Pablo Arias Thomas Eboli 30 0 0 25 May 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 27 106 0 11 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 30 41 0 07 Apr 2023
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders J. Hernandez Ruben Villegas Vicente Ordonez SSL 33 4 0 21 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 29 1 0 13 Mar 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 24 2 0 09 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 44 87 0 05 Feb 2023
Experimental Observations of the Topology of Convolutional Neural Network Activations Emilie Purvine Davis Brown Brett Jefferson C. Joslyn Brenda Praggastis Archit Rathore Madelyn Shapiro Bei Wang Youjia Zhou AI4CE 40 12 0 01 Dec 2022
Gaussian Process Surrogate Models for Neural Networks Michael Y. Li Erin Grant Thomas L. Griffiths BDL SyDa 32 7 0 11 Aug 2022
tf.data: A Machine Learning Data Processing Framework D. Murray Jiří Šimša Ana Klimovic Ihor Indyk PINN AI4CE LMTD 39 87 0 28 Jan 2021