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Coresets via Bilevel Optimization for Continual Learning and Streaming

Coresets via Bilevel Optimization for Continual Learning and Streaming

6 June 2020
Zalan Borsos
Mojmír Mutný
Andreas Krause
    CLL
ArXivPDFHTML

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

50 / 149 papers shown
Title
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Noise-Tolerant Coreset-Based Class Incremental Continual Learning
Edison Mucllari
Aswin Raghavan
Z. Daniels
CLL
NoLa
140
0
0
23 Apr 2025
Data Selection for ERMs
Data Selection for ERMs
Steve Hanneke
Shay Moran
Alexander Shlimovich
Amir Yehudayoff
31
0
0
20 Apr 2025
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
Kai Fang
Anqi Zhang
Guangyu Gao
Jianbo Jiao
C. Liu
Yunchao Wei
CLL
51
0
0
05 Apr 2025
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
Amin Banayeeanzade
Mohammad Rostami
CLL
53
0
0
16 Mar 2025
Finding the Muses: Identifying Coresets through Loss Trajectories
M. Nagaraj
Deepak Ravikumar
Efstathia Soufleri
Kaushik Roy
38
0
0
12 Mar 2025
Distilling Dataset into Neural Field
DongHyeok Shin
Heesun Bae
Gyuwon Sim
Wanmo Kang
Il-Chul Moon
DD
68
1
0
05 Mar 2025
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
58
0
0
05 Mar 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
90
12
0
31 Dec 2024
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
44
3
0
31 Dec 2024
TAROT: Targeted Data Selection via Optimal Transport
TAROT: Targeted Data Selection via Optimal Transport
Lan Feng
Fan Nie
Yuejiang Liu
Alexandre Alahi
OT
128
1
0
30 Nov 2024
Continual Learning on a Data Diet
Continual Learning on a Data Diet
Elif Ceren Gok Yildirim
Murat Onur Yildirim
Joaquin Vanschoren
CLL
23
0
0
23 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on
  Aligned Spaces
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu
Sili Huang
Li Shen
Zhejian Yang
Shengchao Hu
Shisong Tang
H. Chen
Yi-Ju Chang
Dacheng Tao
Lichao Sun
OffRL
36
0
0
21 Oct 2024
BiSSL: A Bilevel Optimization Framework for Enhancing the Alignment Between Self-Supervised Pre-Training and Downstream Fine-Tuning
BiSSL: A Bilevel Optimization Framework for Enhancing the Alignment Between Self-Supervised Pre-Training and Downstream Fine-Tuning
Gustav Wagner Zakarias
Lars Kai Hansen
Z. Tan
27
0
0
03 Oct 2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie
Jiangning Zhu
Guozu Ma
Minzhi Lin
Wei Chen
Weikai Yang
Shixia Liu
28
0
0
03 Oct 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
43
2
0
28 Sep 2024
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion
  Models
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models
Yize Li
Yihua Zhang
Sijia Liu
Xue Lin
47
3
0
27 Sep 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
Dingshuo Chen
Zhixun Li
Yuyan Ni
Guibin Zhang
Ding Wang
Qiang Liu
Shu Wu
Jeffrey Xu Yu
Liang Wang
49
4
0
02 Sep 2024
UDD: Dataset Distillation via Mining Underutilized Regions
UDD: Dataset Distillation via Mining Underutilized Regions
Shiguang Wang
Zhongyu Zhang
Jian Cheng
DD
30
0
0
29 Aug 2024
D$^4$M: Dataset Distillation via Disentangled Diffusion Model
D4^44M: Dataset Distillation via Disentangled Diffusion Model
Duo Su
Junjie Hou
Weizhi Gao
Yingjie Tian
Bowen Tang
DD
43
18
0
21 Jul 2024
Background Adaptation with Residual Modeling for Exemplar-Free
  Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang
Guangyu Gao
CLL
VLM
38
4
0
13 Jul 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for
  Finetuning
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
Yijun Dong
Hoang Phan
Xiang Pan
Qi Lei
45
5
0
08 Jul 2024
Image Textualization: An Automatic Framework for Creating Accurate and
  Detailed Image Descriptions
Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions
Renjie Pi
Jianshu Zhang
Jipeng Zhang
Rui Pan
Zhekai Chen
Tong Zhang
3DV
47
19
0
11 Jun 2024
Effective Subset Selection Through The Lens of Neural Network Pruning
Effective Subset Selection Through The Lens of Neural Network Pruning
Noga Bar
Raja Giryes
CVBM
41
0
0
03 Jun 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search
Calibrated Dataset Condensation for Faster Hyperparameter Search
Mucong Ding
Yuancheng Xu
Tahseen Rabbani
Xiaoyu Liu
Brian J Gravelle
Teresa M. Ranadive
Tai-Ching Tuan
Furong Huang
DD
32
0
0
27 May 2024
Spectral Greedy Coresets for Graph Neural Networks
Spectral Greedy Coresets for Graph Neural Networks
Mucong Ding
Yinhan He
Jundong Li
Furong Huang
25
3
0
27 May 2024
Unlearning Information Bottleneck: Machine Unlearning of Systematic
  Patterns and Biases
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
Ling Han
Hao Huang
Dustin Scheinost
Mary-Anne Hartley
María Rodríguez Martínez
MU
29
0
0
22 May 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning
  in LLMs
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
Feiyang Kang
H. Just
Yifan Sun
Himanshu Jahagirdar
Yuanzhi Zhang
Rongxing Du
Anit Kumar Sahu
Ruoxi Jia
56
17
0
05 May 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized
  Models -- Extended Version
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version
David Campos
Bin Yang
Tung Kieu
Miao Zhang
Chenjuan Guo
Christian S. Jensen
39
7
0
22 Apr 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Alireza Aghasi
Saeed Ghadimi
33
2
0
29 Mar 2024
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image
  Diffusion Generative Models
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
Lin Zhao
Tianchen Zhao
Zinan Lin
Xuefei Ning
Guohao Dai
Huazhong Yang
Yu Wang
EGVM
47
7
0
25 Mar 2024
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video
  Analytics
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
Yoonsung Kim
Changhun Oh
Jinwoo Hwang
Wonung Kim
Seongryong Oh
Yubin Lee
Hardik Sharma
Amir Yazdanbakhsh
Jongse Park
33
7
0
21 Mar 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with
  Coreset Selection
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
Mohammad Jafari
Yimeng Zhang
Yihua Zhang
Sijia Liu
38
2
0
18 Mar 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine
  Unlearning
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
Chongyu Fan
Jiancheng Liu
Alfred Hero
Sijia Liu
MU
22
28
0
12 Mar 2024
One Category One Prompt: Dataset Distillation using Diffusion Models
One Category One Prompt: Dataset Distillation using Diffusion Models
Ali Abbasi
Ashkan Shahbazi
Hamed Pirsiavash
Soheil Kolouri
DiffM
DD
40
3
0
11 Mar 2024
How to Train Data-Efficient LLMs
How to Train Data-Efficient LLMs
Noveen Sachdeva
Benjamin Coleman
Wang-Cheng Kang
Jianmo Ni
Lichan Hong
Ed H. Chi
James Caverlee
Julian McAuley
D. Cheng
29
51
0
15 Feb 2024
Principled Penalty-based Methods for Bilevel Reinforcement Learning and
  RLHF
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
Han Shen
Zhuoran Yang
Tianyi Chen
OffRL
32
14
0
10 Feb 2024
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and
  Convergence Analysis
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
Jie Hao
Xiaochuan Gong
Mingrui Liu
25
7
0
17 Jan 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
50
22
0
16 Dec 2023
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
Sahil Nokhwal
Nirman Kumar
CLL
31
3
0
14 Dec 2023
Continual Learning through Networks Splitting and Merging with
  Dreaming-Meta-Weighted Model Fusion
Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion
Yi Sun
Xin Xu
Jian Li
Guanglei Xie
Yifei Shi
Qiang Fang
CLL
MoMe
26
1
0
12 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
REDUCR: Robust Data Downsampling Using Class Priority Reweighting
William Bankes
George Hughes
Ilija Bogunovic
Zi Wang
18
3
0
01 Dec 2023
Enabling On-Device Large Language Model Personalization with
  Self-Supervised Data Selection and Synthesis
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis
Ruiyang Qin
Jun Xia
Zhenge Jia
Meng-Long Jiang
Ahmed Abbasi
Peipei Zhou
Jingtong Hu
Yiyu Shi
24
18
0
21 Nov 2023
Online Continual Knowledge Learning for Language Models
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLL
KELM
23
4
0
16 Nov 2023
Refined Coreset Selection: Towards Minimal Coreset Size under Model
  Performance Constraints
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
Xiaobo Xia
Jiale Liu
Shaokun Zhang
Qingyun Wu
Hongxin Wei
Tongliang Liu
42
9
0
15 Nov 2023
Fair Wasserstein Coresets
Fair Wasserstein Coresets
Zikai Xiong
Niccolò Dalmasso
Shubham Sharma
Freddy Lecue
Daniele Magazzeni
Vamsi K. Potluru
T. Balch
Manuela Veloso
34
2
0
09 Nov 2023
Coordinated Replay Sample Selection for Continual Federated Learning
Coordinated Replay Sample Selection for Continual Federated Learning
Jack Good
Jimit Majmudar
Christophe Dupuy
Jixuan Wang
Charith Peris
Clement Chung
Richard Zemel
Rahul Gupta
25
2
0
23 Oct 2023
Farzi Data: Autoregressive Data Distillation
Farzi Data: Autoregressive Data Distillation
Noveen Sachdeva
Zexue He
Wang-Cheng Kang
Jianmo Ni
D. Cheng
Julian McAuley
DD
19
3
0
15 Oct 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced
  Transfer Learning
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang
Yimeng Zhang
Aochuan Chen
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
29
8
0
13 Oct 2023
Self-Supervised Dataset Distillation for Transfer Learning
Self-Supervised Dataset Distillation for Transfer Learning
Dong Bok Lee
Seanie Lee
Joonho Ko
Kenji Kawaguchi
Juho Lee
Sung Ju Hwang
DD
44
3
0
10 Oct 2023
Deep Concept Removal
Deep Concept Removal
Yegor Klochkov
Jean-François Ton
Ruocheng Guo
Yang Liu
Hang Li
13
0
0
09 Oct 2023
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