Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functionsby Kai Xu, Farid Tajaddodianfar, Ben…
Federated Learning Optimization: A Comparative Study of Data and Model Exchange Strategies in Dynamic Networksby…
Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classificationby Oluwaseun T.…
A Unified Graph Selective Prompt Learning for Graph Neural Networksby Bo Jiang, Hao Wu, Ziyan…
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Databy Jiahan Zhang, Qi…
Task Facet Learning: A Structured Approach to Prompt Optimizationby Gurusha Juneja, Nagarajan Natarajan, Hua Li,…
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Spaceby Mohamed Amine Ketata, Nicholas Gao,…
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Databy Yaobin Ling,…
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioningby Jifan Zhang, Lalit…
Memory Faults in Activation-sparse Quantized Deep Neural Networks: Analysis and Mitigation using Sharpness-aware Trainingby Akul…