Summary of Linkgpt: Teaching Large Language Models to Predict Missing Links, by Zhongmou He et al.
LinkGPT: Teaching Large Language Models To Predict Missing Linksby Zhongmou He, Jing Zhu, Shengyi Qian,…
Summary of Occam: Towards Cost-efficient and Accuracy-aware Classification Inference, by Dujian Ding et al.
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inferenceby Dujian Ding, Bicheng Xu, Laks V.S. LakshmananFirst submitted…
Summary of Food: Facial Authentication and Out-of-distribution Detection with Short-range Fmcw Radar, by Sabri Mustafa Kahya et al.
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radarby Sabri Mustafa Kahya, Boran Hamdi…
Summary of Adaptive Sampling Of K-space in Magnetic Resonance For Rapid Pathology Prediction, by Chen-yu Yen et al.
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Predictionby Chen-Yu Yen, Raghav Singhal,…
Summary of Regularized Kl-divergence For Well-defined Function-space Variational Inference in Bayesian Neural Networks, by Tristan Cinquin and Robert Bamler
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networksby Tristan Cinquin, Robert BamlerFirst…
Summary of Chimera: Effectively Modeling Multivariate Time Series with 2-dimensional State Space Models, by Ali Behrouz and Michele Santacatterina and Ramin Zabih
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Modelsby Ali Behrouz, Michele Santacatterina,…
Summary of Verbalized Machine Learning: Revisiting Machine Learning with Language Models, by Tim Z. Xiao et al.
Verbalized Machine Learning: Revisiting Machine Learning with Language Modelsby Tim Z. Xiao, Robert Bamler, Bernhard…
Summary of Tscmamba: Mamba Meets Multi-view Learning For Time Series Classification, by Md Atik Ahamed et al.
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classificationby Md Atik Ahamed, Qiang ChengFirst submitted…
Summary of Noisygl: a Comprehensive Benchmark For Graph Neural Networks Under Label Noise, by Zhonghao Wang et al.
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noiseby Zhonghao Wang, Danyu Sun,…
Summary of Pointer-guided Pre-training: Infusing Large Language Models with Paragraph-level Contextual Awareness, by Lars Hillebrand et al.
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awarenessby Lars Hillebrand, Prabhupad Pradhan, Christian…