Summary of Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction, By Yu Chen et al.
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extractionby Yu Chen, Tianyu Cui, Alexander Capstick,…
Summary of Sigkan: Signature-weighted Kolmogorov-arnold Networks For Time Series, by Hugo Inzirillo and Remi Genet
SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Seriesby Hugo Inzirillo, Remi GenetFirst submitted to arxiv on:…
Summary of Efficient and Effective Implicit Dynamic Graph Neural Network, by Yongjian Zhong et al.
Efficient and Effective Implicit Dynamic Graph Neural Networkby Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya…
Summary of Knowledge Distillation in Automated Annotation: Supervised Text Classification with Llm-generated Training Labels, by Nicholas Pangakis and Samuel Wolken
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labelsby Nicholas Pangakis, Samuel…
Summary of Privacy Preserving Reinforcement Learning For Population Processes, by Samuel Yang-zhao et al.
Privacy Preserving Reinforcement Learning for Population Processesby Samuel Yang-Zhao, Kee Siong NgFirst submitted to arxiv…
Summary of Mitigate the Gap: Investigating Approaches For Improving Cross-modal Alignment in Clip, by Sedigheh Eslami and Gerard De Melo
Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIPby Sedigheh Eslami, Gerard de…
Summary of Baytta: Uncertainty-aware Medical Image Classification with Optimized Test-time Augmentation Using Bayesian Model Averaging, by Zeinab Sherkatghanad et al.
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averagingby Zeinab Sherkatghanad,…
Summary of Grass: Compute Efficient Low-memory Llm Training with Structured Sparse Gradients, by Aashiq Muhamed et al.
Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradientsby Aashiq Muhamed, Oscar Li, David…
Summary of From Distributional to Overton Pluralism: Investigating Large Language Model Alignment, by Thom Lake et al.
From Distributional to Overton Pluralism: Investigating Large Language Model Alignmentby Thom Lake, Eunsol Choi, Greg…
Summary of Latable: Towards Large Tabular Models, by Boris Van Breugel et al.
LaTable: Towards Large Tabular Modelsby Boris van Breugel, Jonathan Crabbé, Rob Davis, Mihaela van der…