Power side-channel leakage localization through adversarial training of deep neural networksby Jimmy Gammell, Anand Raghunathan,…
Bayesian Optimization for Hyperparameters Tuning in Neural Networksby Gabriele OnoratoFirst submitted to arxiv on: 29…
Sequential Large Language Model-Based Hyper-parameter Optimizationby Kanan Mahammadli, Seyda ErtekinFirst submitted to arxiv on: 27…
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods,…
Self-Normalized Resets for Plasticity in Continual Learningby Vivek F. Farias, Adam D. JozefiakFirst submitted to…
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppressionby Yixiu Mao, Qi Wang,…
Learned Reference-based Diffusion Sampling for multi-modal distributionsby Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero…
Bonsai: Gradient-free Graph Distillation for Node Classificationby Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana,…
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimationby Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa,…
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecastingby Tugrul Cabir Hakyemez, Omer…