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UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

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...

AI News - General · 4 min ·
Machine Learning

AI assistants are optimized to seem helpful. That is not the same thing as being helpful.

RLHF trains models on human feedback. Humans rate responses they like. And it turns out humans consistently rate confident, fluent, agree...

Reddit - Artificial Intelligence · 1 min ·
Llms

wtf bro did what? arc 3 2026

The Physarum Explorer is a high-speed, bio-inspired neural model designed specifically for ARC geometry. Here is the snapshot of its curr...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2411.15087] Phrase-Instance Alignment for Generalized Referring Segmentation
Machine Learning

[2411.15087] Phrase-Instance Alignment for Generalized Referring Segmentation

Abstract page for arXiv paper 2411.15087: Phrase-Instance Alignment for Generalized Referring Segmentation

arXiv - Machine Learning · 3 min ·
[2408.03404] Set2Seq Transformer: Temporal and Position-Aware Set Representations for Sequential Multiple-Instance Learning
Machine Learning

[2408.03404] Set2Seq Transformer: Temporal and Position-Aware Set Representations for Sequential Multiple-Instance Learning

Abstract page for arXiv paper 2408.03404: Set2Seq Transformer: Temporal and Position-Aware Set Representations for Sequential Multiple-In...

arXiv - Machine Learning · 4 min ·
[2404.04265] Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation
Machine Learning

[2404.04265] Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation

Abstract page for arXiv paper 2404.04265: Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation

arXiv - Machine Learning · 4 min ·
[2402.08151] Perturbative adaptive importance sampling for Bayesian LOO cross-validation
Machine Learning

[2402.08151] Perturbative adaptive importance sampling for Bayesian LOO cross-validation

Abstract page for arXiv paper 2402.08151: Perturbative adaptive importance sampling for Bayesian LOO cross-validation

arXiv - Machine Learning · 4 min ·
[2312.00357] A Generalizable Deep Learning System for Cardiac MRI
Machine Learning

[2312.00357] A Generalizable Deep Learning System for Cardiac MRI

Abstract page for arXiv paper 2312.00357: A Generalizable Deep Learning System for Cardiac MRI

arXiv - Machine Learning · 4 min ·
[2603.13334] Lipschitz-Based Robustness Certification Under Floating-Point Execution
Machine Learning

[2603.13334] Lipschitz-Based Robustness Certification Under Floating-Point Execution

Abstract page for arXiv paper 2603.13334: Lipschitz-Based Robustness Certification Under Floating-Point Execution

arXiv - Machine Learning · 4 min ·
[2603.16661] Self-Aware Markov Models for Discrete Reasoning
Machine Learning

[2603.16661] Self-Aware Markov Models for Discrete Reasoning

Abstract page for arXiv paper 2603.16661: Self-Aware Markov Models for Discrete Reasoning

arXiv - Machine Learning · 4 min ·
[2603.13909] FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
Machine Learning

[2603.13909] FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data

Abstract page for arXiv paper 2603.13909: FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for...

arXiv - Machine Learning · 4 min ·
[2511.16148] Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models
Machine Learning

[2511.16148] Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models

Abstract page for arXiv paper 2511.16148: Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models

arXiv - Machine Learning · 3 min ·
[2601.16399] A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning
Llms

[2601.16399] A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning

Abstract page for arXiv paper 2601.16399: A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to ...

arXiv - Machine Learning · 4 min ·
[2601.00473] Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning
Machine Learning

[2601.00473] Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning

Abstract page for arXiv paper 2601.00473: Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning

arXiv - Machine Learning · 4 min ·
[2511.18789] Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors
Machine Learning

[2511.18789] Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors

Abstract page for arXiv paper 2511.18789: Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Le...

arXiv - Machine Learning · 4 min ·
[2511.18000] Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning
Machine Learning

[2511.18000] Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning

Abstract page for arXiv paper 2511.18000: Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Indi...

arXiv - Machine Learning · 4 min ·
[2512.03923] Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations
Machine Learning

[2512.03923] Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations

Abstract page for arXiv paper 2512.03923: Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations

arXiv - Machine Learning · 4 min ·
[2511.18178] Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability
Machine Learning

[2511.18178] Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability

Abstract page for arXiv paper 2511.18178: Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability

arXiv - Machine Learning · 4 min ·
[2511.11743] Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts
Machine Learning

[2511.11743] Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts

Abstract page for arXiv paper 2511.11743: Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts

arXiv - Machine Learning · 4 min ·
[2511.06767] QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations
Machine Learning

[2511.06767] QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations

Abstract page for arXiv paper 2511.06767: QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common P...

arXiv - Machine Learning · 4 min ·
[2510.27321] MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data
Machine Learning

[2510.27321] MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data

Abstract page for arXiv paper 2510.27321: MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electr...

arXiv - Machine Learning · 4 min ·
[2510.14814] Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
Machine Learning

[2510.14814] Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift

Abstract page for arXiv paper 2510.14814: Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift

arXiv - Machine Learning · 4 min ·
[2510.15495] OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
Machine Learning

[2510.15495] OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning

Abstract page for arXiv paper 2510.15495: OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning

arXiv - Machine Learning · 4 min ·
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