Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Samplingby Jian…
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Modelsby Jialiang Wang, Shimin…
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverageby Aishwarya Gupta, Indranil Saha, Piyush…
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditionsby Miao Zhang, Sherif…
Class-aware and Augmentation-free Contrastive Learning from Label Proportionby Jialiang Wang, Ning Zhang, Shimin Di, Ruidong…
On a Scale-Invariant Approach to Bundle Recommendations in Candy Crush Sagaby Styliani Katsarou, Francesca Carminati,…
Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detectionby Matthias Bartolo, Dylan Seychell, Josef…
Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity…
Efficient Search for Customized Activation Functions with Gradient Descentby Lukas Strack, Mahmoud Safari, Frank HutterFirst…
Optimal Bound for PCA with Outliers using Higher-Degree Voronoi Diagramsby Sajjad Hashemian, Mohammad Saeed Arvenaghi,…