Frequency Explains the Inverse Correlation of Large Language Models’ Size, Training Data Amount, and Surprisal’s…
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budgetby Florian E.…
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiersby Yatong Bai, Mo Zhou, Vishal M. Patel,…
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applicationsby Tingsong Xiao, Zelin Xu, Wenchong…
Federated Learning with New Knowledge: Fundamentals, Advances, and Futuresby Lixu Wang, Yang Zhao, Jiahua Dong,…
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approachby Tianshi Wang,…
Causal Bayesian Optimization via Exogenous Distribution Learningby Shaogang Ren, Xiaoning QianFirst submitted to arxiv on:…
SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Trackingby Atharva Kulkarni, Bo-Hsiang…
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Networkby Yanhua Zhang, Ke…
Jailbreaking Attack against Multimodal Large Language Modelby Zhenxing Niu, Haodong Ren, Xinbo Gao, Gang Hua,…