Summary of Causality Extraction From Nuclear Licensee Event Reports Using a Hybrid Framework, by Shahidur Rahoman Sohag et al.
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Frameworkby Shahidur Rahoman Sohag, Sai…
Summary of Automated Discovery Of Symbolic Laws Governing Skill Acquisition From Naturally Occurring Data, by Sannyuya Liu et al.
Automated discovery of symbolic laws governing skill acquisition from naturally occurring databy Sannyuya Liu, Qing…
Summary of Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: a Multiobjective Hyperparameter and Architecture Optimization Approach, by Yixuan Sun et al.
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approachby…
Summary of Iterative Refinement Strategy For Automated Data Labeling: Facial Landmark Diagnosis in Medical Imaging, by Yu-hsi Chen
Iterative Refinement Strategy for Automated Data Labeling: Facial Landmark Diagnosis in Medical Imagingby Yu-Hsi ChenFirst…
Summary of Certified Peftsmoothing: Parameter-efficient Fine-tuning with Randomized Smoothing, by Chengyan Fu and Wenjie Wang
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothingby Chengyan Fu, Wenjie WangFirst submitted to arxiv on:…
Summary of Wavecatboost For Probabilistic Forecasting Of Regional Air Quality Data, by Jintu Borah et al.
WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Databy Jintu Borah, Tanujit Chakraborty, Md. Shahrul…
Summary of Drop: Distributionally Robust Data Pruning, by Artem Vysogorets et al.
DRoP: Distributionally Robust Data Pruningby Artem Vysogorets, Kartik Ahuja, Julia KempeFirst submitted to arxiv on:…
Summary of Protoal: Interpretable Deep Active Learning with Prototypes For Medical Imaging, by Iury B. De A. Santos et al.
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imagingby Iury B. de A. Santos,…
Summary of Deeplink-t: Deep Learning Inference For Time Series Data Using Knockoffs and Lstm, by Wenxuan Zuo et al.
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTMby Wenxuan Zuo, Zifan…
Summary of The Unreasonable Effectiveness Of Early Discarding After One Epoch in Neural Network Hyperparameter Optimization, by Romain Egele et al.
The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimizationby Romain…