Summary of Covariance-based Space Regularization For Few-shot Class Incremental Learning, by Yijie Hu et al.
Covariance-based Space Regularization for Few-shot Class Incremental Learningby Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei…
Covariance-based Space Regularization for Few-shot Class Incremental Learningby Yijie Hu, Guanyu Yang, Zhaorui Tan, Xiaowei…
PRIMO: Progressive Induction for Multi-hop Open Rule Generationby Jianyu Liu, Sheng Bi, Guilin QiFirst submitted…
Improving Energy Efficiency in Manufacturing: A Novel Expert System Shellby Borys Ioshchikhes, Michael Frank, Tresa…
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generationby Yun Jiang, Zilong Xie, Wei…
Human-inspired Perspectives: A Survey on AI Long-term Memoryby Zihong He, Weizhe Lin, Hao Zheng, Fan…
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Modelsby Anbang…
WLPlan: Relational Features for Symbolic Planningby Dillon Z. ChenFirst submitted to arxiv on: 1 Nov…
On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDARby Li LiFirst…
STAA: Spatio-Temporal Attention Attribution for Real-Time Interpreting Transformer-based Video Modelsby Zerui Wang, Yan LiuFirst submitted…
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Modelsby Minki Kang, Sung Ju…