UMKC Announces New Master of Science in Artificial Intelligence
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
ML algorithms, training, and inference
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
I keep seeing people focus heavily on prompt optimization. But in practice, a lot of failures I’ve observed don’t come from the prompt it...
We just published a paper on predicting adverse selection in high-frequency crypto markets using LightGBM, and I wanted to share it here ...
Abstract page for arXiv paper 2406.01969: Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training
Abstract page for arXiv paper 2210.11039: Entire Space Counterfactual Learning for Reliable Content Recommendations
Abstract page for arXiv paper 2603.24567: Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
Abstract page for arXiv paper 2603.24481: Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical...
Abstract page for arXiv paper 2603.24436: Enes Causal Discovery
Abstract page for arXiv paper 2603.24472: Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
Abstract page for arXiv paper 2603.24477: Composer 2 Technical Report
Abstract page for arXiv paper 2603.24400: Neural Network Models for Contextual Regression
Abstract page for arXiv paper 2603.24396: Exploring How Fair Model Representations Relate to Fair Recommendations
Abstract page for arXiv paper 2603.24392: Federated fairness-aware classification under differential privacy
Abstract page for arXiv paper 2603.24369: Adaptive decision-making for stochastic service network design
Abstract page for arXiv paper 2603.24323: Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machi...
Abstract page for arXiv paper 2603.24304: CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization
Abstract page for arXiv paper 2603.24239: DVM: Real-Time Kernel Generation for Dynamic AI Models
Abstract page for arXiv paper 2603.24226: UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking
Abstract page for arXiv paper 2603.24209: HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directi...
Abstract page for arXiv paper 2603.24196: Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quan...
Abstract page for arXiv paper 2603.24167: Walma: Learning to See Memory Corruption in WebAssembly
Abstract page for arXiv paper 2603.24150: A visual observation on the geometry of UMAP projections of the difference vectors of antonym a...
Abstract page for arXiv paper 2603.24139: Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection
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