2024 "curriculum learning" Papers
7 papers found
CurBench: Curriculum Learning Benchmark
Yuwei Zhou, Zirui Pan, Xin Wang et al.
ICML 2024poster
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
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg, Cuong Cao Nguyen, RAFAEL FELIX et al.
ECCV 2024posterarXiv: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 2024posterarXiv:2402.02544
131
citations
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang, Tianle Zhang, Kai Wang et al.
ICML 2024posterarXiv:2402.05011
Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models
Zhengming Yu, Zhiyang Dou, Xiaoxiao Long et al.
ECCV 2024posterarXiv: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 2024posterarXiv:2406.01589