Summary of Ntk-guided Few-shot Class Incremental Learning, by Jingren Liu et al.
NTK-Guided Few-Shot Class Incremental Learningby Jingren Liu, Zhong Ji, Yanwei Pang, YunLong YuFirst submitted to…
NTK-Guided Few-Shot Class Incremental Learningby Jingren Liu, Zhong Ji, Yanwei Pang, YunLong YuFirst submitted to…
AffineQuant: Affine Transformation Quantization for Large Language Modelsby Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng…
Friendly Sharpness-Aware Minimizationby Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin HuangFirst submitted to…
PETScML: Second-order solvers for training regression problems in Scientific Machine Learningby Stefano Zampini, Umberto Zerbinati,…
Compositional learning of functions in humans and machinesby Yanli Zhou, Brenden M. Lake, Adina WilliamsFirst…
Improving Generalization via Meta-Learning on Hard Samplesby Nishant Jain, Arun S. Suggala, Pradeep ShenoyFirst submitted…
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantityby Siddharth Joshi, Arnav Jain, Ali Payani,…
Graph Neural Networks for Learning Equivariant Representations of Neural Networksby Miltiadis Kofinas, Boris Knyazev, Yan…
Generalization error of spectral algorithmsby Maksim Velikanov, Maxim Panov, Dmitry YarotskyFirst submitted to arxiv on:…
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistantby Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran…