Evaluating Large Language Models for Anxiety and Depression Classification using Counseling and Psychotherapy Transcriptsby Junwei…
Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement…
Auditing Local Explanations is Hardby Robi Bhattacharjee, Ulrike von LuxburgFirst submitted to arxiv on: 18…
RISC-V RVV efficiency for ANN algorithmsby Konstantin Rumyantsev, Pavel Yakovlev, Andrey Gorshkov, Andrey P. SokolovFirst…
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Informationby Fedor Sergeev,…
DropKAN: Regularizing KANs by masking post-activationsby Mohammed Ghaith AltarabichiFirst submitted to arxiv on: 17 Jul…
TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Modelsby…
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AIby Qi Huang, Emanuele Mezzi,…
Retrieval-Enhanced Machine Learning: Synthesis and Opportunitiesby To Eun Kim, Alireza Salemi, Andrew Drozdov, Fernando Diaz,…
Improving SAM Requires Rethinking its Optimization Formulationby Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick,…