Summary of Convergence Analysis For Deep Sparse Coding Via Convolutional Neural Networks, by Jianfei Li and Han Feng and Ding-xuan Zhou
Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networksby Jianfei Li, Han Feng, Ding-Xuan…
Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networksby Jianfei Li, Han Feng, Ding-Xuan…
SAMSA: Efficient Transformer for Many Data Modalitiesby Minh Lenhat, Viet Anh Nguyen, Khoa Nguyen, Duong…
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecastingby Rui Cao, Qiao…
Better Alignment with Instruction Back-and-Forth Translationby Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason…
Conditioning LLMs with Emotion in Neural Machine Translationby Charles Brazier, Jean-Luc RouasFirst submitted to arxiv…
Patient-centered data science: an integrative framework for evaluating and predicting clinical outcomes in the digital…
Clover-2: Accurate Inference for Regressive Lightweight Speculative Decodingby Bin Xiao, Lujun Gui, Lei Su, Weipeng…
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelinesby Yuchen Li,…
Investigating Sparsity in Recurrent Neural Networksby Harshil DarjiFirst submitted to arxiv on: 30 Jul 2024CategoriesMain:…
A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer Decoderby Hyun-rae Jo,…