Hadamard Domain Training with Integers for Class Incremental Quantized
Learning

Hadamard Domain Training with Integers for Class Incremental Quantized Learning

5 October 2023

Martin Schiemer

Clemens J. S. Schaefer

Jayden Parker Vap

Siddharth Joshi

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Papers citing "Hadamard Domain Training with Integers for Class Incremental Quantized Learning"

18 / 18 papers shown

Title
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats Brian Chmiel Ron Banner Elad Hoffer Hilla Ben Yaacov Daniel Soudry MQ 66 23 0 19 Dec 2021
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays Leonardo Ravaglia Manuele Rusci D. Nadalini Alessandro Capotondi Francesco Conti Luca Benini BDL 95 68 0 20 Oct 2021
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay Kai Wang Luis Herranz Joost van de Weijer CLL 107 14 0 18 May 2021
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis Saurav Jha Martin Schiemer F. Zambonelli Juan Ye 54 51 0 19 Apr 2021
DER: Dynamically Expandable Representation for Class Incremental Learning Shipeng Yan Jiangwei Xie Xuming He CLL 69 454 0 31 Mar 2021
La-MAML: Look-ahead Meta Learning for Continual Learning Gunshi Gupta Karmesh Yadav Liam Paull CLL VLM 98 69 0 27 Jul 2020
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch Hisham Husain Tom Diethe CLL 134 105 0 09 Jun 2020
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 135 431 0 16 Nov 2019
REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes Kushal Kafle Robik Shrestha Manoj Acharya Christopher Kanan CLL 135 300 0 06 Oct 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 85 549 0 11 Aug 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 102 1,259 0 30 May 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks Sambhav R. Jain Albert Gural Michael Wu Chris Dick MQ 95 152 0 19 Mar 2019
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 110 1,145 0 30 Jan 2018
Stratified Transfer Learning for Cross-domain Activity Recognition Jindong Wang Yiqiang Chen Lisha Hu Xiaohui Peng Philip S. Yu 61 227 0 25 Dec 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,572 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 162 3,782 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 311 4,432 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 83 2,465 0 15 Jun 2016