Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classificationby Christos Constantinou, Georgios Ioannides, Aman…
Inverting the Leverage Score Gradient: An Efficient Approximate Newton Methodby Chenyang Li, Zhao Song, Zhaoxing…
Correlation Analysis of Adversarial Attack in Time Series Classificationby Zhengyang Li, Wenhao Liang, Chang Dong,…
The Evolution of Reinforcement Learning in Quantitative Finance: A Surveyby Nikolaos Pippas, Cagatay Turkay, Elliot…
Robust Regression with Ensembles Communicating over Noisy Channelsby Yuval Ben-Hur, Yuval CassutoFirst submitted to arxiv…
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecastingby Dona Arabi, Jafar Bakhshaliyev, Ayse Coskuner, Kiran…
Tabular Transfer Learning via Prompting LLMsby Jaehyun Nam, Woomin Song, Seong Hyeon Park, Jihoon Tack,…
Experimentation, deployment and monitoring Machine Learning models: Approaches for applying MLOpsby Diego Nogare, Ismar Frango…
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learningby Dong Geun Shin, Hye Won ChungFirst…
Generative AI in Industrial Machine Vision – A Reviewby Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos…