Summary of A Simple Attention-based Mechanism For Bimodal Emotion Classification, by Mazen Elabd and Sardar Jaf
A Simple Attention-Based Mechanism for Bimodal Emotion Classificationby Mazen Elabd, Sardar JafFirst submitted to arxiv…
Summary of Closed-form Test Functions For Biophysical Sequence Optimization Algorithms, by Samuel Stanton et al.
Closed-Form Test Functions for Biophysical Sequence Optimization Algorithmsby Samuel Stanton, Robert Alberstein, Nathan Frey, Andrew…
Summary of External Model Motivated Agents: Reinforcement Learning For Enhanced Environment Sampling, by Rishav Bhagat et al.
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Samplingby Rishav Bhagat, Jonathan Balloch, Zhiyu…
Summary of A Case Study on Contextual Machine Translation in a Professional Scenario Of Subtitling, by Sebastian Vincent and Charlotte Prescott and Chris Bayliss and Chris Oakley and Carolina Scarton
A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitlingby Sebastian Vincent,…
Summary of Accurate Prediction Of Ligand-protein Interaction Affinities with Fine-tuned Small Language Models, by Ben Fauber
Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Modelsby Ben FauberFirst submitted to…
Summary of The Computational Curse Of Big Data For Bayesian Additive Regression Trees: a Hitting Time Analysis, by Yan Shuo Tan et al.
The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysisby…
Summary of Scalebio: Scalable Bilevel Optimization For Llm Data Reweighting, by Rui Pan et al.
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweightingby Rui Pan, Jipeng Zhang, Xingyuan Pan, Renjie…
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 Machine Learning Predictors For Min-entropy Estimation, by Javier Blanco-romero et al.
Machine Learning Predictors for Min-Entropy Estimationby Javier Blanco-Romero, Vicente Lorenzo, Florina Almenares Mendoza, Daniel Díaz-SánchezFirst…
Summary of Explore As a Storm, Exploit As a Raindrop: on the Benefit Of Fine-tuning Kernel Schedulers with Coordinate Descent, by Michael Canesche et al.
Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers…