Summary of Surgen: Text-guided Diffusion Model For Surgical Video Generation, by Joseph Cho et al.
SurGen: Text-Guided Diffusion Model for Surgical Video Generationby Joseph Cho, Samuel Schmidgall, Cyril Zakka, Mrudang…
Summary of Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings, by Miguel Alves Gomes et al.
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddingsby Miguel Alves Gomes, Philipp…
Summary of Lemon and Orange Disease Classification Using Cnn-extracted Features and Machine Learning Classifier, by Khandoker Nosiba Arifin et al.
Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifierby Khandoker Nosiba Arifin,…
Summary of Lecture Notes on Linear Neural Networks: a Tale Of Optimization and Generalization in Deep Learning, by Nadav Cohen et al.
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learningby…
Summary of Agentmove: a Large Language Model Based Agentic Framework For Zero-shot Next Location Prediction, by Jie Feng et al.
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Predictionby Jie Feng,…
Summary of Revisiting Dnn Training For Intermittently-powered Energy-harvesting Micro-computers, by Cyan Subhra Mishra et al.
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computersby Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut…
Summary of Explainable Concept Generation Through Vision-language Preference Learning, by Aditya Taparia et al.
Explainable Concept Generation through Vision-Language Preference Learningby Aditya Taparia, Som Sagar, Ransalu SenanayakeFirst submitted to…
Summary of Doppler: Differentially Private Optimizers with Low-pass Filter For Privacy Noise Reduction, by Xinwei Zhang et al.
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reductionby Xinwei Zhang, Zhiqi Bu,…
Summary of Amortized Bayesian Multilevel Models, by Daniel Habermann et al.
Amortized Bayesian Multilevel Modelsby Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev,…
Summary of Causally-aware Spatio-temporal Multi-graph Convolution Network For Accurate and Reliable Traffic Prediction, by Pingping Dong et al.
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Predictionby Pingping Dong, Xiao-Lin Wang,…