Summary of Efficient Line Search For Optimizing Area Under the Roc Curve in Gradient Descent, by Jadon Fowler and Toby Dylan Hocking
Efficient line search for optimizing Area Under the ROC Curve in gradient descentby Jadon Fowler,…
Summary of Multi-source Temporal Attention Network For Precipitation Nowcasting, by Rafael Pablos Sarabia et al.
Multi-Source Temporal Attention Network for Precipitation Nowcastingby Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk, Jeppe…
Summary of Soak: Same/other/all K-fold Cross-validation For Estimating Similarity Of Patterns in Data Subsets, by Toby Dylan Hocking et al.
SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsetsby Toby Dylan Hocking,…
Summary of Edge Ai Collaborative Learning: Bayesian Approaches to Uncertainty Estimation, by Gleb Radchenko et al.
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimationby Gleb Radchenko, Victoria Andrea FillFirst submitted…
Summary of Carefully Structured Compression: Efficiently Managing Starcraft Ii Data, by Bryce Ferenczi et al.
Carefully Structured Compression: Efficiently Managing StarCraft II Databy Bryce Ferenczi, Rhys Newbury, Michael Burke, Tom…
Summary of Finite Sample Complexity Analysis Of Binary Segmentation, by Toby Dylan Hocking
Finite Sample Complexity Analysis of Binary Segmentationby Toby Dylan HockingFirst submitted to arxiv on: 11…
Summary of Qeft: Quantization For Efficient Fine-tuning Of Llms, by Changhun Lee et al.
QEFT: Quantization for Efficient Fine-Tuning of LLMsby Changhun Lee, Jun-gyu Jin, Younghyun Cho, Eunhyeok ParkFirst…
Summary of Deltadq: Ultra-high Delta Compression For Fine-tuned Llms Via Group-wise Dropout and Separate Quantization, by Yanfeng Jiang et al.
DeltaDQ: Ultra-High Delta Compression for Fine-Tuned LLMs via Group-wise Dropout and Separate Quantizationby Yanfeng Jiang,…
Summary of Distdd: Distributed Data Distillation Aggregation Through Gradient Matching, by Peiran Wang et al.
DistDD: Distributed Data Distillation Aggregation through Gradient Matchingby Peiran Wang, Haohan WangFirst submitted to arxiv…
Summary of Efficiently Scanning and Resampling Spatio-temporal Tasks with Irregular Observations, by Bryce Ferenczi et al.
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observationsby Bryce Ferenczi, Michael Burke, Tom DrummondFirst…