Summary of Metafollower: Adaptable Personalized Autonomous Car Following, by Xianda Chen et al.
MetaFollower: Adaptable Personalized Autonomous Car Followingby Xianda Chen, Kehua Chen, Meixin Zhu, Yang, Shaojie Shen,…
Summary of Understanding and Diagnosing Deep Reinforcement Learning, by Ezgi Korkmaz
Understanding and Diagnosing Deep Reinforcement Learningby Ezgi KorkmazFirst submitted to arxiv on: 23 Jun 2024CategoriesMain:…
Summary of Research on Disease Prediction Model Construction Based on Computer Ai Deep Learning Technology, by Yang Lin et al.
Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technologyby Yang Lin,…
Summary of Learning the Boundary-to-domain Mapping Using Lifting Product Fourier Neural Operators For Partial Differential Equations, by Aditya Kashi et al.
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equationsby Aditya…
Summary of The Responsible Foundation Model Development Cheatsheet: a Review Of Tools & Resources, by Shayne Longpre et al.
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resourcesby Shayne Longpre, Stella…
Summary of Ocalm: Object-centric Assessment with Language Models, by Timo Kaufmann et al.
OCALM: Object-Centric Assessment with Language Modelsby Timo Kaufmann, Jannis Blüml, Antonia Wüst, Quentin Delfosse, Kristian…
Summary of Sparser Is Faster and Less Is More: Efficient Sparse Attention For Long-range Transformers, by Chao Lou et al.
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformersby Chao Lou,…
Summary of Addressing Polarization and Unfairness in Performative Prediction, by Kun Jin et al.
Addressing Polarization and Unfairness in Performative Predictionby Kun Jin, Tian Xie, Yang Liu, Xueru ZhangFirst…
Summary of The Mri Scanner As a Diagnostic: Image-less Active Sampling, by Yuning Du et al.
The MRI Scanner as a Diagnostic: Image-less Active Samplingby Yuning Du, Rohan Dharmakumar, Sotirios A.TsaftarisFirst…
Summary of Inferring Stochastic Low-rank Recurrent Neural Networks From Neural Data, by Matthijs Pals et al.
Inferring stochastic low-rank recurrent neural networks from neural databy Matthijs Pals, A Erdem Sağtekin, Felix…