Summary of Clustering Mixtures Of Discrete Distributions: a Note on Mitra’s Algorithm, by Mohamed Seif et al.
Clustering Mixtures of Discrete Distributions: A Note on Mitra’s Algorithmby Mohamed Seif, Yanxi ChenFirst submitted…
Summary of Dr-llava: Visual Instruction Tuning with Symbolic Clinical Grounding, by Shenghuan Sun et al.
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Groundingby Shenghuan Sun, Alexander Schubert, Gregory M. Goldgof,…
Summary of Sam-e: Leveraging Visual Foundation Model with Sequence Imitation For Embodied Manipulation, by Junjie Zhang et al.
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulationby Junjie Zhang, Chenjia Bai,…
Summary of Weights Augmentation: It Has Never Ever Ever Ever Let Her Model Down, by Junbin Zhuang et al.
Weights Augmentation: it has never ever ever ever let her model downby Junbin Zhuang, Guiguang…
Summary of Why Larger Language Models Do In-context Learning Differently?, by Zhenmei Shi et al.
Why Larger Language Models Do In-context Learning Differently?by Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu…
Summary of Svft: Parameter-efficient Fine-tuning with Singular Vectors, by Vijay Lingam et al.
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectorsby Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham…
Summary of Rethinking Spectral Augmentation For Contrast-based Graph Self-supervised Learning, by Xiangru Jian et al.
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learningby Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong…
Summary of Egosurgery-phase: a Dataset Of Surgical Phase Recognition From Egocentric Open Surgery Videos, by Ryo Fujii and Masashi Hatano and Hideo Saito and Hiroki Kajita
EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videosby Ryo Fujii, Masashi…
Summary of Factor Augmented Tensor-on-tensor Neural Networks, by Guanhao Zhou et al.
Factor Augmented Tensor-on-Tensor Neural Networksby Guanhao Zhou, Yuefeng Han, Xiufan YuFirst submitted to arxiv on:…
Summary of Easy Problems That Llms Get Wrong, by Sean Williams et al.
Easy Problems That LLMs Get Wrongby Sean Williams, James HuckleFirst submitted to arxiv on: 30…