Summary of Classification-denoising Networks, by Louis Thiry and Florentin Guth
Classification-Denoising Networksby Louis Thiry, Florentin GuthFirst submitted to arxiv on: 4 Oct 2024CategoriesMain: Computer Vision…
Summary of Non-asymptotic Convergence Of Training Transformers For Next-token Prediction, by Ruiquan Huang et al.
Non-asymptotic Convergence of Training Transformers for Next-token Predictionby Ruiquan Huang, Yingbin Liang, Jing YangFirst submitted…
Summary of Fine-tuning a Time Series Foundation Model with Wasserstein Loss, by Andrei Chernov
Fine-Tuning a Time Series Foundation Model with Wasserstein Lossby Andrei ChernovFirst submitted to arxiv on:…
Summary of Tabular Data Generation Using Binary Diffusion, by Vitaliy Kinakh et al.
Tabular Data Generation using Binary Diffusionby Vitaliy Kinakh, Slava VoloshynovskiyFirst submitted to arxiv on: 20…
Summary of The Central Role Of the Loss Function in Reinforcement Learning, by Kaiwen Wang et al.
The Central Role of the Loss Function in Reinforcement Learningby Kaiwen Wang, Nathan Kallus, Wen…
Summary of Contrastive Learning For Character Detection in Ancient Greek Papyri, by Vedasri Nakka et al.
Contrastive Learning for Character Detection in Ancient Greek Papyriby Vedasri Nakka, Andreas Fischer, Rolf Ingold,…
Summary of Cross-entropy Optimization For Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks, by Kevin Li et al.
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networksby Kevin…
Summary of A Unified Contrastive Loss For Self-training, by Aurelien Gauffre et al.
A Unified Contrastive Loss for Self-Trainingby Aurelien Gauffre, Julien Horvat, Massih-Reza AminiFirst submitted to arxiv…
Summary of Entropic Distribution Matching in Supervised Fine-tuning Of Llms: Less Overfitting and Better Diversity, by Ziniu Li et al.
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversityby Ziniu Li,…