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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

[D] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] On conferences and page limitations

What is your opinion on long appendices in conference papers? I am observing that appendix lengths in conference papers (ICML, NeurIPS, e...

Reddit - Machine Learning · 1 min ·

All Content

[2603.25466] Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation
Machine Learning

[2603.25466] Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation

Abstract page for arXiv paper 2603.25466: Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation

arXiv - Machine Learning · 3 min ·
[2603.25289] Revealing the influence of participant failures on model quality in cross-silo Federated Learning
Machine Learning

[2603.25289] Revealing the influence of participant failures on model quality in cross-silo Federated Learning

Abstract page for arXiv paper 2603.25289: Revealing the influence of participant failures on model quality in cross-silo Federated Learning

arXiv - AI · 4 min ·
[2603.25440] The Symmetric Perceptron: a Teacher-Student Scenario
Machine Learning

[2603.25440] The Symmetric Perceptron: a Teacher-Student Scenario

Abstract page for arXiv paper 2603.25440: The Symmetric Perceptron: a Teacher-Student Scenario

arXiv - Machine Learning · 4 min ·
[2603.25397] A Causal Framework for Evaluating ICU Discharge Strategies
Machine Learning

[2603.25397] A Causal Framework for Evaluating ICU Discharge Strategies

Abstract page for arXiv paper 2603.25397: A Causal Framework for Evaluating ICU Discharge Strategies

arXiv - Machine Learning · 3 min ·
[2603.25374] Supercharging Federated Intelligence Retrieval
Llms

[2603.25374] Supercharging Federated Intelligence Retrieval

Abstract page for arXiv paper 2603.25374: Supercharging Federated Intelligence Retrieval

arXiv - Machine Learning · 3 min ·
[2603.25209] Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction
Machine Learning

[2603.25209] Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction

Abstract page for arXiv paper 2603.25209: Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction

arXiv - AI · 4 min ·
[2603.25164] PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems
Llms

[2603.25164] PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation Systems

Abstract page for arXiv paper 2603.25164: PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented ...

arXiv - AI · 4 min ·
[2603.25100] From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies
Nlp

[2603.25100] From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies

Abstract page for arXiv paper 2603.25100: From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations f...

arXiv - AI · 4 min ·
[2603.25099] Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
Llms

[2603.25099] Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization

Abstract page for arXiv paper 2603.25099: Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Opti...

arXiv - AI · 4 min ·
[2603.24752] Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning
Machine Learning

[2603.24752] Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning

Abstract page for arXiv paper 2603.24752: Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical...

arXiv - Machine Learning · 4 min ·
[2603.24705] Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
Machine Learning

[2603.24705] Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

Abstract page for arXiv paper 2603.24705: Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

arXiv - Machine Learning · 4 min ·
[2603.24965] Self-Corrected Image Generation with Explainable Latent Rewards
Generative Ai

[2603.24965] Self-Corrected Image Generation with Explainable Latent Rewards

Abstract page for arXiv paper 2603.24965: Self-Corrected Image Generation with Explainable Latent Rewards

arXiv - AI · 3 min ·
[2603.24652] Demystifying When Pruning Works via Representation Hierarchies
Machine Learning

[2603.24652] Demystifying When Pruning Works via Representation Hierarchies

Abstract page for arXiv paper 2603.24652: Demystifying When Pruning Works via Representation Hierarchies

arXiv - Machine Learning · 3 min ·
[2603.24898] Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence
Machine Learning

[2603.24898] Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence

Abstract page for arXiv paper 2603.24898: Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Cli...

arXiv - AI · 4 min ·
[2603.24891] Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware
Machine Learning

[2603.24891] Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware

Abstract page for arXiv paper 2603.24891: Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparamet...

arXiv - AI · 4 min ·
[2603.25241] Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem
Machine Learning

[2603.25241] Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem

Abstract page for arXiv paper 2603.25241: Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on t...

arXiv - Machine Learning · 3 min ·
[2603.25186] Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
Llms

[2603.25186] Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation

Abstract page for arXiv paper 2603.25186: Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserv...

arXiv - Machine Learning · 4 min ·
[2603.25093] Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
Machine Learning

[2603.25093] Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints

Abstract page for arXiv paper 2603.25093: Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrolog...

arXiv - Machine Learning · 4 min ·
[2603.24618] Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
Machine Learning

[2603.24618] Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

Abstract page for arXiv paper 2603.24618: Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

arXiv - Machine Learning · 3 min ·
[2603.25029] Optimal High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback
Ai Infrastructure

[2603.25029] Optimal High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback

Abstract page for arXiv paper 2603.25029: Optimal High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback

arXiv - Machine Learning · 3 min ·
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