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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 ·
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 ·
[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI
Llms

[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI

Abstract page for arXiv paper 2603.11413: Evaluation format, not model capability, drives triage failure in the assessment of consumer he...

arXiv - AI · 4 min ·

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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 ·
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 ·
[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI
Llms

[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI

Abstract page for arXiv paper 2603.11413: Evaluation format, not model capability, drives triage failure in the assessment of consumer he...

arXiv - AI · 4 min ·
[2601.07325] Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
Machine Learning

[2601.07325] Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors

Abstract page for arXiv paper 2601.07325: Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors

arXiv - Machine Learning · 3 min ·
[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing
Llms

[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing

Abstract page for arXiv paper 2512.10411: SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Pro...

arXiv - AI · 4 min ·
[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge
Llms

[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge

Abstract page for arXiv paper 2511.20721: Foundry: Distilling 3D Foundation Models for the Edge

arXiv - Machine Learning · 4 min ·
[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models
Llms

[2506.13734] Instruction Following by Principled Boosting Attention of Large Language Models

Abstract page for arXiv paper 2506.13734: Instruction Following by Principled Boosting Attention of Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model
Machine Learning

[2603.24402] AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

Abstract page for arXiv paper 2603.24402: AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model

arXiv - AI · 4 min ·
[2506.22609] Ludax: A GPU-Accelerated Domain Specific Language for Board Games
Ai Infrastructure

[2506.22609] Ludax: A GPU-Accelerated Domain Specific Language for Board Games

Abstract page for arXiv paper 2506.22609: Ludax: A GPU-Accelerated Domain Specific Language for Board Games

arXiv - AI · 4 min ·
[2511.14961] Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based Inference
Machine Learning

[2511.14961] Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based Inference

Abstract page for arXiv paper 2511.14961: Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based In...

arXiv - Machine Learning · 4 min ·
[2511.05878] FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge
Nlp

[2511.05878] FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge

Abstract page for arXiv paper 2511.05878: FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowl...

arXiv - Machine Learning · 4 min ·
[2603.25730] PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference
Machine Learning

[2603.25730] PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference

Abstract page for arXiv paper 2603.25730: PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference

arXiv - AI · 4 min ·
[2510.06790] Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness
Llms

[2510.06790] Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness

Abstract page for arXiv paper 2510.06790: Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness

arXiv - Machine Learning · 4 min ·
[2411.17501] The Limits of Inference Scaling Through Resampling
Machine Learning

[2411.17501] The Limits of Inference Scaling Through Resampling

Abstract page for arXiv paper 2411.17501: The Limits of Inference Scaling Through Resampling

arXiv - Machine Learning · 4 min ·
[2110.11736] MANDERA: Malicious Node Detection in Federated Learning via Ranking
Ai Infrastructure

[2110.11736] MANDERA: Malicious Node Detection in Federated Learning via Ranking

Abstract page for arXiv paper 2110.11736: MANDERA: Malicious Node Detection in Federated Learning via Ranking

arXiv - Machine Learning · 4 min ·
[2603.25573] Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
Machine Learning

[2603.25573] Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

Abstract page for arXiv paper 2603.25573: Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

arXiv - Machine Learning · 4 min ·
[2603.25572] Cooperative Deep Reinforcement Learning for Fair RIS Allocation
Ai Infrastructure

[2603.25572] Cooperative Deep Reinforcement Learning for Fair RIS Allocation

Abstract page for arXiv paper 2603.25572: Cooperative Deep Reinforcement Learning for Fair RIS Allocation

arXiv - Machine Learning · 3 min ·
[2603.25366] Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics
Machine Learning

[2603.25366] Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics

Abstract page for arXiv paper 2603.25366: Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics

arXiv - AI · 3 min ·
[2603.25509] Conformal Prediction for Nonparametric Instrumental Regression
Machine Learning

[2603.25509] Conformal Prediction for Nonparametric Instrumental Regression

Abstract page for arXiv paper 2603.25509: Conformal Prediction for Nonparametric Instrumental Regression

arXiv - Machine Learning · 3 min ·
[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 ·
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Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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