Summary of Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory, by Jingdi Lei et al.
Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theoryby Jingdi Lei, Tianqi…
Summary of Client-centered Federated Learning For Heterogeneous Ehrs: Use Fewer Participants to Achieve the Same Performance, by Jiyoun Kim et al.
Client-Centered Federated Learning for Heterogeneous EHRs: Use Fewer Participants to Achieve the Same Performanceby Jiyoun…
Summary of Mergenet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities, by Kunxi Li et al.
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalitiesby Kunxi Li, Tianyu Zhan, Kairui Fu,…
Summary of Comparative Analysis on Snowmelt-driven Streamflow Forecasting Using Machine Learning Techniques, by Ukesh Thapa et al.
Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniquesby Ukesh Thapa, Bipun Man Pati,…
Summary of Scalable Data Assimilation with Message Passing, by Oscar Key et al.
Scalable Data Assimilation with Message Passingby Oscar Key, So Takao, Daniel Giles, Marc Peter DeisenrothFirst…
Summary of Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction, by Paulo Henrique Dos Santos et al.
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Predictionby Paulo Henrique dos…
Summary of Goal Exploration Via Adaptive Skill Distribution For Goal-conditioned Reinforcement Learning, by Lisheng Wu et al.
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learningby Lisheng Wu, Ke ChenFirst submitted…
Summary of Groma: Localized Visual Tokenization For Grounding Multimodal Large Language Models, by Chuofan Ma et al.
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Modelsby Chuofan Ma, Yi Jiang, Jiannan…
Summary of Optimizing Calibration by Gaining Aware Of Prediction Correctness, By Yuchi Liu et al.
Optimizing Calibration by Gaining Aware of Prediction Correctnessby Yuchi Liu, Lei Wang, Yuli Zou, James…
Summary of Stronger Random Baselines For In-context Learning, by Gregory Yauney and David Mimno
Stronger Random Baselines for In-Context Learningby Gregory Yauney, David MimnoFirst submitted to arxiv on: 19…