Summary of S+t-sne — Bringing Dimensionality Reduction to Data Streams, by Pedro C. Vieira et al.
S+t-SNE – Bringing Dimensionality Reduction to Data Streamsby Pedro C. Vieira, João P. Montrezol, João…
S+t-SNE – Bringing Dimensionality Reduction to Data Streamsby Pedro C. Vieira, João P. Montrezol, João…
UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain…
An Extension-based Approach for Computing and Verifying Preferences in Abstract Argumentationby Quratul-ain Mahesar, Nir Oren,…
Language Models for Text Classification: Is In-Context Learning Enough?by Aleksandra Edwards, Jose Camacho-ColladosFirst submitted to…
Solution for Emotion Prediction Competition of Workshop on Emotionally and Culturally Intelligent AIby Shengdong Xu,…
A Large Language Model Guided Topic Refinement Mechanism for Short Text Modelingby Shuyu Chang, Rui…
Out-of-distribution Rumor Detection via Test-Time Adaptationby Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang…
Tiny Models are the Computational Saver for Large Modelsby Qingyuan Wang, Barry Cardiff, Antoine Frappé,…
Using Stratified Sampling to Improve LIME Image Explanationsby Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari,…
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protectionby Sihan Shang, Jiancheng Yang, Zhenglong Sun,…