Summary of Discriminative Estimation Of Total Variation Distance: a Fidelity Auditor For Generative Data, by Lan Tao et al.
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Databy Lan Tao, Shirong…
Summary of Denoising Lm: Pushing the Limits Of Error Correction Models For Speech Recognition, by Zijin Gu et al.
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognitionby Zijin Gu, Tatiana…
Summary of Private Regression Via Data-dependent Sufficient Statistic Perturbation, by Cecilia Ferrando et al.
Private Regression via Data-Dependent Sufficient Statistic Perturbationby Cecilia Ferrando, Daniel SheldonFirst submitted to arxiv on:…
Summary of Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis, by Basile Van Hoorick et al.
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesisby Basile Van Hoorick, Rundi Wu, Ege…
Summary of Improving Fairness and Mitigating Madness in Generative Models, by Paul Mayer et al.
Improving Fairness and Mitigating MADness in Generative Modelsby Paul Mayer, Lorenzo Luzi, Ali Siahkoohi, Don…
Summary of Fine-tuned In-context Learning Transformers Are Excellent Tabular Data Classifiers, by Felix Den Breejen et al.
Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiersby Felix den Breejen, Sangmin Bae, Stephen…
Summary of When Ai Eats Itself: on the Caveats Of Ai Autophagy, by Xiaodan Xing et al.
When AI Eats Itself: On the Caveats of AI Autophagyby Xiaodan Xing, Fadong Shi, Jiahao…
Summary of Stable Diffusion-based Data Augmentation For Federated Learning with Non-iid Data, by Mahdi Morafah et al.
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Databy Mahdi Morafah, Matthias Reisser, Bill…
Summary of Puma: Margin-based Data Pruning, by Javier Maroto and Pascal Frossard
PUMA: margin-based data pruningby Javier Maroto, Pascal FrossardFirst submitted to arxiv on: 10 May 2024CategoriesMain:…
Summary of Clustering Of Disease Trajectories with Explainable Machine Learning: a Case Study on Postoperative Delirium Phenotypes, by Xiaochen Zheng et al.
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypesby…