Summary of Hokoff: Real Game Dataset From Honor Of Kings and Its Offline Reinforcement Learning Benchmarks, by Yun Qu et al.
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarksby Yun…
Summary of Fine-gained Air Quality Inference Based on Low-quality Sensing Data Using Self-supervised Learning, by Meng Xu et al.
Fine-gained air quality inference based on low-quality sensing data using self-supervised learningby Meng Xu, Ke…
Summary of Lifelong Reinforcement Learning Via Neuromodulation, by Sebastian Lee et al.
Lifelong Reinforcement Learning via Neuromodulationby Sebastian Lee, Samuel Liebana, Claudia Clopath, Will DabneyFirst submitted to…
Summary of Analytical Uncertainty-based Loss Weighting in Multi-task Learning, by Lukas Kirchdorfer et al.
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learningby Lukas Kirchdorfer, Cathrin Elich, Simon Kutsche, Heiner Stuckenschmidt,…
Summary of Model Merging in Llms, Mllms, and Beyond: Methods, Theories, Applications and Opportunities, by Enneng Yang et al.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunitiesby Enneng Yang, Li…
Summary of Multi-task Heterogeneous Graph Learning on Electronic Health Records, by Tsai Hor Chan et al.
Multi-task Heterogeneous Graph Learning on Electronic Health Recordsby Tsai Hor Chan, Guosheng Yin, Kyongtae Bae,…
Summary of Winning Amazon Kdd Cup’24, by Chris Deotte et al.
Winning Amazon KDD Cup’24by Chris Deotte, Ivan Sorokin, Ahmet Erdem, Benedikt Schifferer, Gilberto Titericz Jr,…
Summary of Model-based Transfer Learning For Contextual Reinforcement Learning, by Jung-hoon Cho et al.
Model-Based Transfer Learning for Contextual Reinforcement Learningby Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy WuFirst…
Summary of Synergistic Learning with Multi-task Deeponet For Efficient Pde Problem Solving, by Varun Kumar et al.
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solvingby Varun Kumar, Somdatta Goswami, Katiana…
Summary of A Multi-task Deep Learning Approach For Lane-level Pavement Performance Prediction with Segment-level Data, by Bo Wang and Wenbo Zhang and Yunpeng Li
A multi-task deep learning approach for lane-level pavement performance prediction with segment-level databy Bo Wang,…