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1812.03472
Cited By
Theory of Curriculum Learning, with Convex Loss Functions
9 December 2018
D. Weinshall
D. Amir
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Papers citing
"Theory of Curriculum Learning, with Convex Loss Functions"
33 / 33 papers shown
Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training
Dake Bu
Wei Huang
Andi Han
Atsushi Nitanda
Hau-San Wong
Qingfu Zhang
Taiji Suzuki
LRM
265
1
0
10 Nov 2025
Application of a Virtual Imaging Framework for Investigating a Deep Learning-Based Reconstruction Method for 3D Quantitative Photoacoustic Computed Tomography
Refik Mert Cam
Seonyeong Park
Umberto Villa
M. Anastasio
127
3
0
03 Oct 2025
Improving the Convergence Rates of Forward Gradient Descent with Repeated Sampling
Niklas Dexheimer
Johannes Schmidt-Hieber
FedML
242
0
0
26 Nov 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
International Conference on Learning Representations (ICLR), 2024
Francesco Mori
Stefano Sarao Mannelli
Francesca Mignacco
548
10
0
26 Sep 2024
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
Yang Liu
Chuan Zhou
Peng Zhang
Yanan Cao
Yongchao Liu
Zhao Li
Hongyang Chen
234
2
0
27 Aug 2024
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
Stefano Sarao Mannelli
Yaraslau Ivashinka
Andrew M. Saxe
Luca Saglietti
286
10
0
03 Jun 2024
TED: Accelerate Model Training by Internal Generalization
European Conference on Artificial Intelligence (ECAI), 2024
Jinying Xiao
Ping Li
Jie Nie
VLM
419
1
0
06 May 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
International Conference on Learning Representations (ICLR), 2024
Jin-Young Kim
Hyojun Go
Soonwoo Kwon
Hyun-Gyoon Kim
DiffM
755
17
0
15 Mar 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Yuxuan Liang
Xavier Bresson
Wei Jin
Yang You
628
38
0
07 Feb 2024
Data Pruning via Moving-one-Sample-out
Neural Information Processing Systems (NeurIPS), 2023
Haoru Tan
Sitong Wu
Fei Du
Yukang Chen
Zhibin Wang
Fan Wang
Xiaojuan Qi
473
73
0
23 Oct 2023
Instruction Tuning with Human Curriculum
Bruce W. Lee
Hyunsoo Cho
Kang Min Yoo
452
10
0
14 Oct 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
275
8
0
25 Sep 2023
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs
Neural Information Processing Systems (NeurIPS), 2023
Emmanuel Abbe
Elisabetta Cornacchia
Aryo Lotfi
286
20
0
29 Jun 2023
Proximal Curriculum for Reinforcement Learning Agents
Georgios Tzannetos
Bárbara Gomes Ribeiro
Parameswaran Kamalaruban
Adish Singla
269
15
0
25 Apr 2023
Diversity Induced Environment Design via Self-Play
Dexun Li
Wenjun Li
Pradeep Varakantham
330
0
0
04 Feb 2023
A Mathematical Model for Curriculum Learning for Parities
International Conference on Machine Learning (ICML), 2023
Elisabetta Cornacchia
Elchanan Mossel
252
17
0
31 Jan 2023
Deep Learning Training Procedure Augmentations
Cristian Simionescu
239
1
0
25 Nov 2022
Task Phasing: Automated Curriculum Learning from Demonstrations
International Conference on Automated Planning and Scheduling (ICAPS), 2022
Vaibhav Bajaj
Guni Sharon
Peter Stone
303
11
0
20 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels
Daniel Shwartz
Uri Stern
D. Weinshall
NoLa
362
2
0
02 Oct 2022
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding
Machine Learning in Health Care (MLHC), 2022
Weiming Ren
Ruijing Zeng
Tong Wu
Tianshu Zhu
Rahul G. Krishnan
590
7
0
03 Aug 2022
CLNode: Curriculum Learning for Node Classification
Web Search and Data Mining (WSDM), 2022
Xiaowen Wei
Xiuwen Gong
Yibing Zhan
Bo Du
Yong Luo
Wenbin Hu
191
41
0
15 Jun 2022
How catastrophic can catastrophic forgetting be in linear regression?
Annual Conference Computational Learning Theory (COLT), 2022
Itay Evron
E. Moroshko
Rachel A. Ward
Nati Srebro
Daniel Soudry
CLL
429
75
0
19 May 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
International Conference on Machine Learning (ICML), 2022
Guy Hacohen
Avihu Dekel
D. Weinshall
528
161
0
06 Feb 2022
On the Statistical Benefits of Curriculum Learning
International Conference on Machine Learning (ICML), 2021
Ziping Xu
Ambuj Tewari
209
12
0
13 Nov 2021
A Hierarchical Assessment of Adversarial Severity
Guillaume Jeanneret
Juan Pérez
Pablo Arbeláez
AAML
181
2
0
26 Aug 2021
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti
Stefano Sarao Mannelli
Andrew M. Saxe
314
38
0
15 Jun 2021
Curriculum Design for Teaching via Demonstrations: Theory and Applications
Neural Information Processing Systems (NeurIPS), 2021
Gaurav Yengera
R. Devidze
Parameswaran Kamalaruban
Adish Singla
461
10
0
08 Jun 2021
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
Journal of machine learning research (JMLR), 2021
Guy Hacohen
D. Weinshall
560
13
0
12 May 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
IEEE Access (IEEE Access), 2021
Jialin Peng
Ye Wang
VLM
263
82
0
28 Feb 2021
Interaction-limited Inverse Reinforcement Learning
Martin Troussard
Emmanuel Pignat
Parameswaran Kamalaruban
Sylvain Calinon
Volkan Cevher
208
2
0
01 Jul 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Journal of machine learning research (JMLR), 2020
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
579
666
0
10 Mar 2020
Meta-learners' learning dynamics are unlike learners'
Neil C. Rabinowitz
OffRL
306
15
0
03 May 2019
Automatic adaptation of object detectors to new domains using self-training
Aruni RoyChowdhury
Prithvijit Chakrabarty
Ashish Singh
SouYoung Jin
Huaizu Jiang
Liangliang Cao
Erik Learned-Miller
VLM
ObjD
293
183
0
15 Apr 2019
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