Sparse Orthogonal Parameters Tuning for Continual Learning

Sparse Orthogonal Parameters Tuning for Continual Learning

5 November 2024

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Papers citing "Sparse Orthogonal Parameters Tuning for Continual Learning"

15 / 15 papers shown

Title
PiCO: Peer Review in LLMs based on the Consistency Optimization Kun-Peng Ning Shuo Yang Yu-Yang Liu Jia-Yu Yao Zhen-Hui Liu Yu Wang Ming Pang Li Yuan ALM 196 9 0 24 Feb 2025
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch Le Yu Yu Bowen Haiyang Yu Fei Huang Yongbin Li MoMe 109 335 0 06 Nov 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox Hai-Long Sun Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 192 34 0 13 Sep 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad Anton Van Den Hengel VLM CLL 95 111 0 05 Jul 2023
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning Paul Janson Wenxuan Zhang Rahaf Aljundi Mohamed Elhoseiny VLM SSL CLL 68 52 0 10 Oct 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 105 796 0 16 Dec 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 114 419 0 25 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 676 41,483 0 22 Oct 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 363 1,757 0 29 Jun 2020
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 97 447 0 01 Oct 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 269 3,488 0 09 Mar 2018
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 125 1,229 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 131 2,738 0 26 Jun 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

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