"curriculum learning" Papers

34 papers found

Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment

Hua Ye, Hang Ding, Siyuan Chen et al.

NEURIPS 2025arXiv:2511.08399

Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals

Qinsi Wang, Jinghan Ke, Hancheng Ye et al.

NEURIPS 2025spotlight

Boost Your Human Image Generation Model via Direct Preference Optimization

Sanghyeon Na, Yonggyu Kim, Hyunjoon Lee

CVPR 2025highlightarXiv:2405.20216
8
citations

Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search

Haoran Sun, Yankai Jiang, Wenjie Lou et al.

NEURIPS 2025arXiv:2506.16962
6
citations

Curriculum Direct Preference Optimization for Diffusion and Consistency Models

Florinel Croitoru, Vlad Hondru, Radu Tudor Ionescu et al.

CVPR 2025arXiv:2405.13637
24
citations

Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization

Baoyi He, Luotian Yuan, Ying Wei et al.

NEURIPS 2025

DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery

Yuanpei Liu, Kai Han

ICLR 2025arXiv:2504.04804
7
citations

Emotional Face-to-Speech

Jiaxin Ye, Boyuan Cao, Hongming Shan

ICML 2025arXiv:2502.01046
4
citations

FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed

Jiaqi Zhang, Juntuo Wang, Zhixin Sun et al.

NEURIPS 2025arXiv:2507.03779
1
citations

Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM

Yongqiang Yao, Jingru Tan, Kaihuan Liang et al.

NEURIPS 2025
2
citations

LeanAgent: Lifelong Learning for Formal Theorem Proving

Adarsh Kumarappan, Mohit Tiwari, Peiyang Song et al.

ICLR 2025arXiv:2410.06209
12
citations

Learning to Solve Complex Problems via Dataset Decomposition

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

NEURIPS 2025

MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios

Jiacheng Ruan, Wenzhen Yuan, Zehao Lin et al.

AAAI 2025paperarXiv:2409.16084
11
citations

MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild

Xi Fang, Jiankun Wang, Xiaochen Cai et al.

ICCV 2025arXiv:2411.11098
12
citations

Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning

Guancheng Wan, Xu Cheng, Run Liu et al.

NEURIPS 2025

NextBestPath: Efficient 3D Mapping of Unseen Environments

Shiyao Li, Antoine Guedon, Clémentin Boittiaux et al.

ICLR 2025arXiv:2502.05378
4
citations

Online-to-Offline RL for Agent Alignment

Xu Liu, Haobo Fu, Stefano V. Albrecht et al.

ICLR 2025

Open-World Drone Active Tracking with Goal-Centered Rewards

Haowei Sun, Jinwu Hu, Zhirui Zhang et al.

NEURIPS 2025arXiv:2412.00744
2
citations

Progressive Compositionality in Text-to-Image Generative Models

Xu Han, Linghao Jin, Xiaofeng Liu et al.

ICLR 2025arXiv:2410.16719
9
citations

Safety-Prioritizing Curricula for Constrained Reinforcement Learning

Cevahir Koprulu, Thiago Simão, Nils Jansen et al.

ICLR 2025

See Further When Clear: Curriculum Consistency Model

Yunpeng Liu, Boxiao Liu, Yi Zhang et al.

CVPR 2025arXiv:2412.06295
3
citations

Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum

Haoyang Li, Xin Wang, Zeyang Zhang et al.

ICML 2025spotlight

STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding

Aaryan Garg, Akash Kumar, Yogesh S. Rawat

CVPR 2025arXiv:2502.20678
7
citations

Towards A Generalist Code Embedding Model Based On Massive Data Synthesis

Chaofan Li, Jianlyu Chen, Yingxia Shao et al.

NEURIPS 2025arXiv:2505.12697
4
citations

Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation

Rohith Peddi, Saurabh ., Ayush Abhay Shrivastava et al.

CVPR 2025highlightarXiv:2411.13059
3
citations

Why In-Context Learning Models are Good Few-Shot Learners?

Shiguang Wu, Yaqing Wang, Quanming Yao

ICLR 2025

CurBench: Curriculum Learning Benchmark

Yuwei Zhou, Zirui Pan, Xin Wang et al.

ICML 2024

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs

Jin Li, Qirong Zhang, Shuling Xu et al.

AAAI 2024paperarXiv:2312.08221
3
citations

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation

Arpit Garg, Cuong Cao Nguyen, RAFAEL FELIX et al.

ECCV 2024arXiv:2305.19486
5
citations

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model

Dilxat Muhtar, Zhenshi Li, Feng Gu et al.

ECCV 2024arXiv:2402.02544
133
citations

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching

Yuchen Zhang, Tianle Zhang, Kai Wang et al.

ICML 2024arXiv:2402.05011
35
citations

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

Zhengming Yu, Zhiyang Dou, Xiaoxiao Long et al.

ECCV 2024arXiv:2311.17050
10
citations

Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks

Stefano Mannelli, Yaraslau Ivashynka, Andrew Saxe et al.

ICML 2024arXiv:2406.01589
9
citations

Video ReCap: Recursive Captioning of Hour-Long Videos

Md Mohaiminul Islam, Vu Bao Ngan Ho, Xitong Yang et al.

CVPR 2024arXiv:2402.13250
85
citations