Summary of Enhancing Conformal Prediction Using E-test Statistics, by A.a.balinsky and A.d.balinsky
Enhancing Conformal Prediction Using E-Test Statisticsby A.A.Balinsky, A.D.BalinskyFirst submitted to arxiv on: 28 Mar 2024CategoriesMain:…
Summary of Tiny Machine Learning: Progress and Futures, by Ji Lin et al.
Tiny Machine Learning: Progress and Futuresby Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song…
Summary of Automated Black-box Prompt Engineering For Personalized Text-to-image Generation, by Yutong He et al.
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generationby Yutong He, Alexander Robey, Naoki Murata, Yiding…
Summary of Tiny Graph Neural Networks For Radio Resource Management, by Ahmad Ghasemi et al.
Tiny Graph Neural Networks for Radio Resource Managementby Ahmad Ghasemi, Hossein Pishro-NikFirst submitted to arxiv…
Summary of Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: a Bayesian Deep Learning Approach, by Pei Xi (alex) Lin
Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approachby…
Summary of Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs, by John R. Mcnulty et al.
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographsby John R. McNulty, Lee…
Summary of Topological Cycle Graph Attention Network For Brain Functional Connectivity, by Jinghan Huang et al.
Topological Cycle Graph Attention Network for Brain Functional Connectivityby Jinghan Huang, Nanguang Chen, Anqi QiuFirst…
Summary of Towards Understanding Dual Bn in Hybrid Adversarial Training, by Chenshuang Zhang et al.
Towards Understanding Dual BN In Hybrid Adversarial Trainingby Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi…
Summary of Disentangling Length From Quality in Direct Preference Optimization, by Ryan Park and Rafael Rafailov and Stefano Ermon and Chelsea Finn
Disentangling Length from Quality in Direct Preference Optimizationby Ryan Park, Rafael Rafailov, Stefano Ermon, Chelsea…
Summary of D’oh: Decoder-only Random Hypernetworks For Implicit Neural Representations, by Cameron Gordon et al.
D’OH: Decoder-Only Random Hypernetworks for Implicit Neural Representationsby Cameron Gordon, Lachlan Ewen MacDonald, Hemanth Saratchandran,…