Summary of When Llms Are Unfit Use Fastfit: Fast and Effective Text Classification with Many Classes, by Asaf Yehudai et al.
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classesby Asaf…
Summary of Gradient-regularized Out-of-distribution Detection, by Sina Sharifi et al.
Gradient-Regularized Out-of-Distribution Detectionby Sina Sharifi, Taha Entesari, Bardia Safaei, Vishal M. Patel, Mahyar FazlyabFirst submitted…
Summary of Accounting For Ai and Users Shaping One Another: the Role Of Mathematical Models, by Sarah Dean et al.
Accounting for AI and Users Shaping One Another: The Role of Mathematical Modelsby Sarah Dean,…
Summary of Kdk: a Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning, by Marco Arazzi et al.
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learningby Marco Arazzi, Serena…
Summary of Sohes: Self-supervised Open-world Hierarchical Entity Segmentation, by Shengcao Cao et al.
SOHES: Self-supervised Open-world Hierarchical Entity Segmentationby Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi…
Summary of A Big Data Analytics System For Predicting Suicidal Ideation in Real-time Based on Social Media Streaming Data, by Mohamed A. Allayla et al.
A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media…
Summary of Optimized Dynamic Mode Decomposition For Reconstruction and Forecasting Of Atmospheric Chemistry Data, by Meghana Velegar et al.
Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Databy Meghana Velegar, Christoph…
Summary of Incremental Self-training For Semi-supervised Learning, by Jifeng Guo et al.
Incremental Self-training for Semi-supervised Learningby Jifeng Guo, Zhulin Liu, Tong Zhang, C. L. Philip ChenFirst…
Summary of Model Failure or Data Corruption? Exploring Inconsistencies in Building Energy Ratings with Self-supervised Contrastive Learning, by Qian Xiao et al.
Model Failure or Data Corruption? Exploring Inconsistencies in Building Energy Ratings with Self-Supervised Contrastive Learningby…
Summary of Items or Relations — What Do Artificial Neural Networks Learn?, by Renate Krause et al.
Items or Relations – what do Artificial Neural Networks learn?by Renate Krause, Stefan ReimannFirst submitted…