Summary of Roer: Regularized Optimal Experience Replay, by Changling Li et al.
ROER: Regularized Optimal Experience Replayby Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni PajarinenFirst…
Summary of Pase: Parallelization Strategies For Efficient Dnn Training, by Venmugil Elango
PaSE: Parallelization Strategies for Efficient DNN Trainingby Venmugil ElangoFirst submitted to arxiv on: 4 Jul…
Summary of Robust Learning Under Hybrid Noise, by Yang Wei et al.
Robust Learning under Hybrid Noiseby Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen GongFirst…
Summary of Learning Non-linear Invariants For Unsupervised Out-of-distribution Detection, by Lars Doorenbos et al.
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detectionby Lars Doorenbos, Raphael Sznitman, Pablo Márquez-NeilaFirst submitted to…
Summary of Talent: a Tabular Analytics and Learning Toolbox, by Si-yang Liu et al.
TALENT: A Tabular Analytics and Learning Toolboxby Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, Han-Jia YeFirst…
Summary of An Autoencoder Architecture For L-band Passive Microwave Retrieval Of Landscape Freeze-thaw Cycle, by Divya Kumawat et al.
An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw Cycleby Divya Kumawat, Ardeshir…
Summary of A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations, by Md Tahmid Rahman Laskar et al.
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendationsby…
Summary of Query-guided Self-supervised Summarization Of Nursing Notes, by Ya Gao et al.
Query-Guided Self-Supervised Summarization of Nursing Notesby Ya Gao, Hans Moen, Saila Koivusalo, Miika Koskinen, Pekka…
Summary of Dotamath: Decomposition Of Thought with Code Assistance and Self-correction For Mathematical Reasoning, by Chengpeng Li et al.
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoningby Chengpeng Li, Guanting…
Summary of Sinekan: Kolmogorov-arnold Networks Using Sinusoidal Activation Functions, by Eric A. F. Reinhardt et al.
SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functionsby Eric A. F. Reinhardt, P. R. Dinesh, Sergei…