Curriculum Learning

ICLR 2025arXiv:2410.01432

#2

Adaptive teachers for amortized samplers

Minsu Kim, Sanghyeok Choi, Taeyoung Yun et al.

amortized inferencegenerative flow networksdiffusion-based samplingsequential decision-making+4

20

ICLR 2025arXiv:2408.14774

#3

Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning

Simran Kaur, Simon Park, Anirudh Goyal et al.

instruction tuningskill extractionllm metacognitionsft data generation+3

19

AAAI 2025arXiv:2412.09441

#4

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning

Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao et al.

class-incremental learningpre-trained modelsadapter mergingparameter drift+3

16

CVPR 2025arXiv:2412.14295

#5

Temporally Consistent Object-Centric Learning by Contrasting Slots

Anna Manasyan, Maximilian Seitzer, Filip Radovic et al.

13

ICCV 2025arXiv:2508.06492

#6

Effective Training Data Synthesis for Improving MLLM Chart Understanding

Yuwei Yang, Zeyu Zhang, Yunzhong Hou et al.

chart understandingmultimodal large language modelsdata synthesis pipelinesynthetic chart generation+3

12

ICLR 2024arXiv:2503.16799

#7

Causally Aligned Curriculum Learning

Mingxuan Li, Junzhe Zhang, Elias Bareinboim

8

AAAI 2024arXiv:2312.14369

#8

Quality-Diversity Generative Sampling for Learning with Synthetic Data

Allen Chang, Matthew C. Fontaine, Serena Booth et al.

8

ICML 2024arXiv:2311.14886

#9

A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples

Ben Adcock, Juan Cardenas, Nick Dexter

nonlinear model classeslinear measurementshilbert spacesgeneralization bounds+4

4

ICML 2025arXiv:2502.03350

#10

Optimal Task Order for Continual Learning of Multiple Tasks

Ziyan Li, Naoki Hiratani

2

NEURIPS 2025arXiv:2506.15893

#11

Formal Models of Active Learning from Contrastive Examples

Farnam Mansouri, Hans Simon, Adish Singla et al.

active learningcontrastive examplessample complexityconcept classes+3

NEURIPS 2025arXiv:2505.12275

#12

Curriculum Abductive Learning

Wen-Chao Hu, Qi-Jie Li, Lin-Han Jia et al.

NEURIPS 2025arXiv:2511.02690

#13

Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs

Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla

NEURIPS 2025arXiv:2505.15657

#14

LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought

Cheng Yan, Felix Mohr, Tom Viering

constrained reinforcement learningcurriculum learningsafe curriculum generationsafety constraints+2

#15

Safety-Prioritizing Curricula for Constrained Reinforcement Learning

Cevahir Koprulu, Thiago Simão, Nils Jansen et al.

ICLR 2025

curriculum learningdataset decompositionteacher-student frameworkstep-by-step reasoning+3

#16

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks

Xiaofan Que, Qi Yu

A Closer Look at Curriculum Adversarial Training: From an Online Perspective

Lianghe Shi, Weiwei Liu

When Does Curriculum Learning Help? A Theoretical Perspective

Raman Arora, Yunjuan Wang, Kaibo Zhang

Learning to Solve Complex Problems via Dataset Decomposition

Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi et al.

NEURIPS 2025

curriculum learningbenchmark evaluationcomputer visionnatural language processing+4

#20

Learning with Structural Labels for Learning with Noisy Labels

Noo-ri Kim, Jin-Seop Lee, Jee-Hyong Lee

CurBench: Curriculum Learning Benchmark

Yuwei Zhou, Zirui Pan, Xin Wang et al.

ICML 2024

NEURIPS 2025arXiv:2511.22944

#22

Unsupervised Order Learning

Seon-Ho Lee, Nyeong-Ho Shin, Chang-Su Kim

Bandit Guided Submodular Curriculum for Adaptive Subset Selection

Prateek Chanda, Prayas Agrawal, Saral Sureka et al.