Coresets via Bilevel Optimization for Continual Learning and Streaming

6 June 2020

Papers citing "Coresets via Bilevel Optimization for Continual Learning and Streaming"

50 / 149 papers shown

Title
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation Juan Elenter Navid Naderializadeh Tara Javidi Alejandro Ribeiro CLL 15 1 0 29 Sep 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 29 22 0 14 Sep 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin Chen Liu Chen Ye Qing Lian Yuan Yao Tong Zhang 27 4 0 05 Sep 2023
GRASP: A Rehearsal Policy for Efficient Online Continual Learning Md Yousuf Harun Jhair Gallardo Junyu Chen Christopher Kanan CLL 33 9 0 25 Aug 2023
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem Jincheng Cao Ruichen Jiang Nazanin Abolfazli E. Y. Hamedani Aryan Mokhtari 84 8 0 15 Aug 2023
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro Xinyue Ma Suyeon Jeong Minjia Zhang Di Wang Jonghyun Choi Myeongjae Jeon CLL 16 13 0 11 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 38 25 0 01 Aug 2023
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy Zihao Zhu Mingda Zhang Shaokui Wei Li Shen Yanbo Fan Baoyuan Wu AAML SILM 44 9 0 14 Jul 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang H. Just Anit Kumar Sahu R. Jia 56 10 0 05 Jul 2023
Large-scale Dataset Pruning with Dynamic Uncertainty Muyang He Shuo Yang Tiejun Huang Bo-Lu Zhao 36 25 0 08 Jun 2023
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition Quan-Wu Xiao Songtao Lu Tianyi Chen 24 2 0 04 Jun 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization Chen Fan Gaspard Choné-Ducasse Mark W. Schmidt Christos Thrampoulidis 19 3 0 30 May 2023
On the Size and Approximation Error of Distilled Sets Alaa Maalouf M. Tukan Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 31 4 0 23 May 2023
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 91 84 0 02 May 2023
The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng Paris V. Giampouras René Vidal CLL 108 26 0 29 Apr 2023
Regularizing Second-Order Influences for Continual Learning Zhicheng Sun Yadong Mu G. Hua CLL 14 22 0 20 Apr 2023
Continual Semantic Segmentation with Automatic Memory Sample Selection Lanyun Zhu Tianrun Chen Jianxiong Yin Simon See J. Liu CLL VLM 11 44 0 11 Apr 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 22 106 0 11 Apr 2023
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples Xiwen Chen Huayu Li Rahul Amin Abolfazl Razi 11 3 0 09 Apr 2023
Loss-Curvature Matching for Dataset Selection and Condensation Seung-Jae Shin Heesun Bae DongHyeok Shin Weonyoung Joo Il-Chul Moon DD 49 24 0 08 Mar 2023
Robustness-preserving Lifelong Learning via Dataset Condensation Jinghan Jia Yihua Zhang Dogyoon Song Sijia Liu Alfred Hero DD 28 3 0 07 Mar 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 29 41 0 13 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 36 601 0 31 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 25 27 0 24 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 33 60 0 24 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 50 121 0 17 Jan 2023
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method Xiangwei Wang Rui Han Chi Harold Liu CLL 14 0 0 17 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 82 0 09 Dec 2022
Self-supervised On-device Federated Learning from Unlabeled Streams Jiahe Shi Yawen Wu Dewen Zeng Jun Tao Jingtong Hu Yiyu Shi FedML 19 5 0 02 Dec 2022
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 14 4 0 04 Nov 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 69 95 0 21 Oct 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 36 8 0 21 Oct 2022
Few-shot Backdoor Attacks via Neural Tangent Kernels J. Hayase Sewoong Oh 30 21 0 12 Oct 2022
Coresets for Relational Data and The Applications Jiaxiang Chen Qingyuan Yang Ru Huang Hu Ding 11 4 0 09 Oct 2022
Online Subset Selection using $α$ -Core with no Augmented Regret Sourav Sahoo Siddhant Chaudhary S. Mukhopadhyay Abhishek Sinha OffRL 45 0 0 28 Sep 2022
SparCL: Sparse Continual Learning on the Edge Zifeng Wang Zheng Zhan Yifan Gong Geng Yuan Wei Niu T. Jian Bin Ren Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 60 59 0 20 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 21 9 0 18 Sep 2022
Dataset Condensation with Latent Space Knowledge Factorization and Sharing Haebeom Lee Dong Bok Lee Sung Ju Hwang DD 21 37 0 21 Aug 2022
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning Qihan Yang Fan Feng Rosa H. M. Chan 11 9 0 04 Aug 2022
Delving into Effective Gradient Matching for Dataset Condensation Zixuan Jiang Jiaqi Gu Mingjie Liu D. Pan DD 20 41 0 30 Jul 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 47 82 0 20 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 30 32 0 18 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 29 27 0 15 Jul 2022
Memory Population in Continual Learning via Outlier Elimination J. Hurtado Alain Raymond-Sáez Vladimir Araujo Vincenzo Lomonaco Alvaro Soto D. Bacciu 25 9 0 04 Jul 2022
Active Exploration via Experiment Design in Markov Chains Mojmír Mutný Tadeusz Janik Andreas Krause 33 14 0 29 Jun 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 74 45 0 28 Jun 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan N. Gomez Adrien Morisot Sebastian Farquhar Y. Gal 44 148 0 14 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 31 28 0 03 Jun 2022