ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.06469
  4. Cited By
On Coresets for Support Vector Machines

On Coresets for Support Vector Machines

Theory and Applications of Models of Computation (TAMC), 2020
15 February 2020
M. Tukan
Cenk Baykal
Dan Feldman
Daniela Rus
ArXiv (abs)PDFHTML

Papers citing "On Coresets for Support Vector Machines"

19 / 19 papers shown
Improving Model Classification by Optimizing the Training Dataset
Improving Model Classification by Optimizing the Training Dataset
M. Tukan
Loay Mualem
Eitan Netzer
Liran Sigalat
136
0
0
22 Jul 2025
DataS^3: Dataset Subset Selection for Specialization
DataS^3: Dataset Subset Selection for Specialization
Neha Hulkund
Alaa Maalouf
Levi Cai
Daniel Yang
Tsun-Hsuan Wang
...
Ken Goldberg
Hannah Kerner
Irene Chen
Yogesh A. Girdhar
Sara Beery
380
4
0
22 Apr 2025
Data-Efficient Learning via Clustering-Based Sensitivity Sampling:
  Foundation Models and Beyond
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
Kyriakos Axiotis
Vincent Cohen-Addad
Monika Henzinger
Sammy Jerome
Vahab Mirrokni
David Saulpic
David P. Woodruff
Michael Wunder
195
18
0
27 Feb 2024
ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration
ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration
M. Tukan
Fares Fares
Yotam Grufinkle
Ido Talmor
Loay Mualem
Vladimir Braverman
Dan Feldman
319
6
0
20 Dec 2023
Simple Weak Coresets for Non-Decomposable Classification Measures
Simple Weak Coresets for Non-Decomposable Classification MeasuresAAAI Conference on Artificial Intelligence (AAAI), 2023
Jayesh Malaviya
Anirban Dasgupta
Rachit Chhaya
348
0
0
15 Dec 2023
On the Size and Approximation Error of Distilled Sets
On the Size and Approximation Error of Distilled Sets
Alaa Maalouf
M. Tukan
Noel Loo
Ramin Hasani
Mathias Lechner
Daniela Rus
DD
326
4
0
23 May 2023
AutoCoreset: An Automatic Practical Coreset Construction Framework
AutoCoreset: An Automatic Practical Coreset Construction FrameworkInternational Conference on Machine Learning (ICML), 2023
Alaa Maalouf
M. Tukan
Vladimir Braverman
Daniela Rus
CLL
276
3
0
19 May 2023
Provable Data Subset Selection For Efficient Neural Network Training
Provable Data Subset Selection For Efficient Neural Network TrainingInternational Conference on Machine Learning (ICML), 2023
M. Tukan
Samson Zhou
Alaa Maalouf
Daniela Rus
Vladimir Braverman
Dan Feldman
MLT
154
13
0
09 Mar 2023
An Efficient Drifters Deployment Strategy to Evaluate Water Current
  Velocity Fields
An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity FieldsIEEE Journal of Oceanic Engineering (IEEE J. Ocean. Eng.), 2023
M. Tukan
E. Biton
R. Diamant
168
10
0
10 Jan 2023
Pruning Neural Networks via Coresets and Convex Geometry: Towards No
  Assumptions
Pruning Neural Networks via Coresets and Convex Geometry: Towards No AssumptionsNeural Information Processing Systems (NeurIPS), 2022
M. Tukan
Loay Mualem
Alaa Maalouf
3DPC
305
26
0
18 Sep 2022
New Coresets for Projective Clustering and Applications
New Coresets for Projective Clustering and ApplicationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
M. Tukan
Xuan Wu
Samson Zhou
Vladimir Braverman
Dan Feldman
310
24
0
08 Mar 2022
Obstacle Aware Sampling for Path Planning
Obstacle Aware Sampling for Path PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
M. Tukan
Alaa Maalouf
Dan Feldman
Roi Poranne
281
9
0
08 Mar 2022
Coresets for Data Discretization and Sine Wave Fitting
Coresets for Data Discretization and Sine Wave FittingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Alaa Maalouf
M. Tukan
Eric Price
Daniel Kane
Dan Feldman
234
7
0
06 Mar 2022
A Unified Approach to Coreset Learning
A Unified Approach to Coreset LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Alaa Maalouf
Gilad Eini
Ben Mussay
Dan Feldman
Margarita Osadchy
DD
312
21
0
04 Nov 2021
Adversarial Robustness of Streaming Algorithms through Importance
  Sampling
Adversarial Robustness of Streaming Algorithms through Importance SamplingNeural Information Processing Systems (NeurIPS), 2021
Vladimir Braverman
Avinatan Hassidim
Yossi Matias
Mariano Schain
Sandeep Silwal
Samson Zhou
AAMLOOD
210
53
0
28 Jun 2021
Coresets for Classification -- Simplified and Strengthened
Coresets for Classification -- Simplified and StrengthenedNeural Information Processing Systems (NeurIPS), 2021
Tung Mai
Anup B. Rao
Cameron Musco
305
37
0
08 Jun 2021
Coresets for Near-Convex Functions
Coresets for Near-Convex Functions
M. Tukan
Alaa Maalouf
Dan Feldman
250
48
0
09 Jun 2020
Coresets for the Nearest-Neighbor Rule
Coresets for the Nearest-Neighbor RuleEmbedded Systems and Applications (ESA), 2020
Alejandro Flores-Velazco
D. Mount
NAIDD
257
5
0
16 Feb 2020
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic
  Regression, Sigmoid and more
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Elad Tolochinsky
Ibrahim Jubran
Dan Feldman
CLL
306
19
0
21 Feb 2018
1
Page 1 of 1