Summary of Mtdt: a Multi-task Deep Learning Digital Twin, by Nooshin Yousefzadeh et al.
MTDT: A Multi-Task Deep Learning Digital Twinby Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan,…
Summary of Mvmoe: Multi-task Vehicle Routing Solver with Mixture-of-experts, by Jianan Zhou et al.
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Expertsby Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song,…
Summary of Pessimistic Value Iteration For Multi-task Data Sharing in Offline Reinforcement Learning, by Chenjia Bai et al.
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learningby Chenjia Bai, Lingxiao Wang,…
Summary of A Comprehensive and Easy-to-use Multi-domain Multi-task Medical Imaging Meta-dataset (medimeta), by Stefano Woerner et al.
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta)by Stefano Woerner, Arthur Jaques, Christian…
Summary of Itbls: a Dataset Of Interactive Conversations Over Tabular Information, by Anirudh Sundar et al.
iTBLS: A Dataset of Interactive Conversations Over Tabular Informationby Anirudh Sundar, Christopher Richardson, William Gay,…
Summary of A Self-feedback Knowledge Elicitation Approach For Chemical Reaction Predictions, by Pengfei Liu et al.
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictionsby Pengfei Liu, Jun Tao, Zhixiang RenFirst…
Summary of Trafficvlm: a Controllable Visual Language Model For Traffic Video Captioning, by Quang Minh Dinh et al.
TrafficVLM: A Controllable Visual Language Model for Traffic Video Captioningby Quang Minh Dinh, Minh Khoi…
Summary of Navigating the Landscape Of Large Language Models: a Comprehensive Review and Analysis Of Paradigms and Fine-tuning Strategies, by Benjue Weng
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and…
Summary of Enhancing Fairness and Performance in Machine Learning Models: a Multi-task Learning Approach with Monte-carlo Dropout and Pareto Optimality, by Khadija Zanna et al.
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout…
Summary of Fedauxhmtl: Federated Auxiliary Hard-parameter Sharing Multi-task Learning For Network Edge Traffic Classification, by Faisal Ahmed et al.
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classificationby Faisal Ahmed, Myungjin…