Coresets via Bilevel Optimization for Continual Learning and Streaming

6 June 2020

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

49 / 149 papers shown

Title
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 152 106 0 19 May 2022
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling Andreas Kirsch Jannik Kossen Y. Gal UQCV BDL 50 3 0 18 May 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning Chengcheng Guo B. Zhao Yanbing Bai OOD 31 131 0 18 Apr 2022
Information-theoretic Online Memory Selection for Continual Learning Shengyang Sun Daniele Calandriello Huiyi Hu Ang Li Michalis K. Titsias CLL 12 49 0 10 Apr 2022
Data-Centric Green AI: An Exploratory Empirical Study Roberto Verdecchia Luís Cruz June Sallou Michelle Lin James Wickenden Estelle Hotellier 16 40 0 06 Apr 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini A. Sebastian Abbas Rahimi CLL 24 141 0 30 Mar 2022
Gradient-Matching Coresets for Rehearsal-Based Continual Learning Lukas Balles Giovanni Zappella Cédric Archambeau CLL 6 3 0 28 Mar 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 58 363 0 22 Mar 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 23 34 0 17 Mar 2022
Provable and Efficient Continual Representation Learning Yingcong Li Mingchen Li M. Salman Asif Samet Oymak CLL 30 11 0 03 Mar 2022
Submodularity In Machine Learning and Artificial Intelligence J. Bilmes 8 52 0 31 Jan 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees Kai Hsu Allen Z. Ren D. Nguyen Anirudha Majumdar J. F. Fisac OffRL 24 41 0 20 Jan 2022
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes Haonan Wang Ziwei Wu Jingrui He 19 12 0 15 Jan 2022
Reproducible, incremental representation learning with Rosetta VAE Miles Martinez John M. Pearson DRL 11 1 0 13 Jan 2022
On Sampling Collaborative Filtering Datasets Noveen Sachdeva Carole-Jean Wu Julian McAuley 15 14 0 13 Jan 2022
Generative Kernel Continual learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek BDL VLM 33 0 0 26 Dec 2021
Gradient-matching coresets for continual learning Lukas Balles Giovanni Zappella Cédric Archambeau CLL DD 41 2 0 09 Dec 2021
DiPS: Differentiable Policy for Sketching in Recommender Systems Aritra Ghosh Saayan Mitra Andrew S. Lan BDL OffRL 13 2 0 08 Dec 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang Ru Huang Wenjie Liu N. Freris Huihua Ding 24 16 0 05 Dec 2021
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning Rishabh Tiwari Krishnateja Killamsetty Rishabh K. Iyer Pradeep Shenoy BDL CLL 21 127 0 18 Nov 2021
A Unified Approach to Coreset Learning Alaa Maalouf Gilad Eini Ben Mussay Dan Feldman Margarita Osadchy DD 4 16 0 04 Nov 2021
One Pass ImageNet Huiyi Hu Ang Li Daniele Calandriello Dilan Görür VLM 11 18 0 03 Nov 2021
Projection-Free Algorithm for Stochastic Bi-level Optimization Zeeshan Akhtar Amrit Singh Bedi Srujan Teja Thomdapu K. Rajawat 27 13 0 22 Oct 2021
Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning Soobee Lee Minindu Weerakoon Jonghyun Choi Minjia Zhang Di Wang Myeongjae Jeon 19 1 0 14 Oct 2021
Dataset Condensation with Distribution Matching Bo-Lu Zhao Hakan Bilen DD 21 282 0 08 Oct 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming Ayush Maheshwari Krishnateja Killamsetty Ganesh Ramakrishnan Rishabh K. Iyer Marina Danilevsky Lucian Popa 32 16 0 23 Sep 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 35 229 0 27 Jul 2021
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification Giampaolo Bovenzi Lixuan Yang A. Finamore Giuseppe Aceto D. Ciuonzo A. Pescapé Dario Rossi 18 22 0 09 Jul 2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast Yawen Wu Zhepeng Wang Dewen Zeng Yiyu Shi Jingtong Hu SSL 33 27 0 07 Jun 2021
Sum of Ranked Range Loss for Supervised Learning Shu Hu Yiming Ying Xin Wang Siwei Lyu 23 23 0 07 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning Jaehong Yoon Divyam Madaan Eunho Yang S. Hwang CLL 17 139 0 02 Jun 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning Chaosheng Dong Xiaojie Jin Weihao Gao Yijia Wang Hongyi Zhang Xiang Wu Jianchao Yang Xiaobing Liu 21 5 0 27 Apr 2021
New Insights on Reducing Abrupt Representation Change in Online Continual Learning Lucas Page-Caccia Rahaf Aljundi Nader Asadi Tinne Tuytelaars Joelle Pineau Eugene Belilovsky CLL 21 185 0 11 Apr 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha Jonghyun Choi CLL 34 324 0 31 Mar 2021
A resource-efficient method for repeated HPO and NAS problems Giovanni Zappella David Salinas Cédric Archambeau 14 5 0 30 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 54 0 01 Mar 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration N. Lazić Dong Yin Yasin Abbasi-Yadkori Csaba Szepesvári OffRL 6 17 0 25 Feb 2021
Condensed Composite Memory Continual Learning Felix Wiewel Binh Yang DD 19 33 0 19 Feb 2021
A Single-Timescale Method for Stochastic Bilevel Optimization Tianyi Chen Yuejiao Sun Quan-Wu Xiao W. Yin 16 76 0 09 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 50 222 0 27 Jan 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 28 407 0 25 Jan 2021
Bilevel Continual Learning Ammar Shaker Francesco Alesiani Shujian Yu Wenzhe Yin CLL 14 0 0 02 Nov 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 36 238 0 30 Oct 2020
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 29 23 0 19 Oct 2020
The Effectiveness of Memory Replay in Large Scale Continual Learning Yogesh Balaji Mehrdad Farajtabar Dong Yin Alex Mott Ang Li 24 38 0 06 Oct 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017