Summary of Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images, by Qingyuan Liu and Avideh Zakhor
Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Imagesby Qingyuan Liu, Avideh ZakhorFirst…
Summary of Calibrate to Discriminate: Improve In-context Learning with Label-free Comparative Inference, by Wei Cheng et al.
Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inferenceby Wei Cheng, Tianlu Wang, Yanmin…
Summary of Stochastic Sampling From Deterministic Flow Models, by Saurabh Singh et al.
Stochastic Sampling from Deterministic Flow Modelsby Saurabh Singh, Ian FischerFirst submitted to arxiv on: 3…
Summary of Hyperbrain: Anomaly Detection For Temporal Hypergraph Brain Networks, by Sadaf Sadeghian et al.
HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networksby Sadaf Sadeghian, Xiaoxiao Li, Margo SeltzerFirst submitted…
Summary of Orient Anything, by Christopher Scarvelis et al.
Orient Anythingby Christopher Scarvelis, David Benhaim, Paul ZhangFirst submitted to arxiv on: 2 Oct 2024CategoriesMain:…
Summary of Can Llms Reliably Simulate Human Learner Actions? a Simulation Authoring Framework For Open-ended Learning Environments, by Amogh Mannekote et al.
Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environmentsby…
Summary of Ec-dit: Scaling Diffusion Transformers with Adaptive Expert-choice Routing, by Haotian Sun et al.
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routingby Haotian Sun, Tao Lei, Bowen Zhang, Yanghao…
Summary of Mamba Neural Operator: Who Wins? Transformers Vs. State-space Models For Pdes, by Chun-wun Cheng et al.
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEsby Chun-Wun Cheng, Jiahao Huang, Yi…
Summary of Dataset Distillation Via Knowledge Distillation: Towards Efficient Self-supervised Pre-training Of Deep Networks, by Siddharth Joshi et al.
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networksby Siddharth Joshi, Jiayi…
Summary of Searching For Efficient Linear Layers Over a Continuous Space Of Structured Matrices, by Andres Potapczynski et al.
Searching for Efficient Linear Layers over a Continuous Space of Structured Matricesby Andres Potapczynski, Shikai…