Summary of Deep Image-to-recipe Translation, by Jiangqin Ma et al.
Deep Image-to-Recipe Translationby Jiangqin Ma, Bilal Mawji, Franz WilliamsFirst submitted to arxiv on: 1 Jul…
Summary of Curriculum Learning with Quality-driven Data Selection, by Biao Wu et al.
Curriculum Learning with Quality-Driven Data Selectionby Biao Wu, Fang Meng, Ling ChenFirst submitted to arxiv…
Summary of Comparative Analysis Of Lstm Neural Networks and Traditional Machine Learning Models For Predicting Diabetes Patient Readmission, by Abolfazl Zarghani
Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient…
Summary of Adaptive Stochastic Weight Averaging, by Caglar Demir et al.
Adaptive Stochastic Weight Averagingby Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga NgomoFirst submitted to arxiv on:…
Summary of Cat: Interpretable Concept-based Taylor Additive Models, by Viet Duong et al.
CAT: Interpretable Concept-based Taylor Additive Modelsby Viet Duong, Qiong Wu, Zhengyi Zhou, Hongjue Zhao, Chenxiang…
Summary of Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels, by Yangdi Lu et al.
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labelsby Yangdi Lu, Wenbo HeFirst submitted to…
Summary of Compact Model Parameter Extraction Via Derivative-free Optimization, by Rafael Perez Martinez et al.
Compact Model Parameter Extraction via Derivative-Free Optimizationby Rafael Perez Martinez, Masaya Iwamoto, Kelly Woo, Zhengliang…
Summary of Rethinking Pruning Large Language Models: Benefits and Pitfalls Of Reconstruction Error Minimization, by Sungbin Shin et al.
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimizationby Sungbin Shin, Wonpyo…
Summary of From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning, by Adnan Ali et al.
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive…
Summary of Macrohft: Memory Augmented Context-aware Reinforcement Learning on High Frequency Trading, by Chuqiao Zong et al.
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Tradingby Chuqiao Zong, Chaojie Wang, Molei…