Machine Learning

ML algorithms, training, and inference

This Week's Best | Monthly Best | Guide | Trending

Top This Week

Machine Learning

[HIRING] Machine Learning Evaluation Specialist | Remote | $50/hr

​ We are onboarding domain experts with strong machine learning knowledge to design advanced evaluation tasks for AI systems. About the R...

Reddit - ML Jobs · 1 min ·
Machine Learning

Japan is adopting robotics and physical AI, with a model where startups innovate and corporations provide scale

Physical AI is emerging as one of the next major industrial battlegrounds, with Japan’s push driven more by necessity than anything else....

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

mining hardware doing AI training - is the output actually useful

there's this network that launched recently routing crypto mining hardware toward AI training workloads. miners seem happy with the econo...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.14824] Planning as Goal Recognition: Deriving Heuristics from Intention Models -- Extended Version
Machine Learning

[2603.14824] Planning as Goal Recognition: Deriving Heuristics from Intention Models -- Extended Version

Abstract page for arXiv paper 2603.14824: Planning as Goal Recognition: Deriving Heuristics from Intention Models -- Extended Version

arXiv - AI · 3 min ·
[2603.15033] Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion
Machine Learning

[2603.15033] Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion

Abstract page for arXiv paper 2603.15033: Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion

arXiv - Machine Learning · 4 min ·
[2603.07990] MJ1: Multimodal Judgment via Grounded Verification
Machine Learning

[2603.07990] MJ1: Multimodal Judgment via Grounded Verification

Abstract page for arXiv paper 2603.07990: MJ1: Multimodal Judgment via Grounded Verification

arXiv - Machine Learning · 3 min ·
[2601.12138] DriveSafe: A Hierarchical Risk Taxonomy for Safety-Critical LLM-Based Driving Assistants
Llms

[2601.12138] DriveSafe: A Hierarchical Risk Taxonomy for Safety-Critical LLM-Based Driving Assistants

Abstract page for arXiv paper 2601.12138: DriveSafe: A Hierarchical Risk Taxonomy for Safety-Critical LLM-Based Driving Assistants

arXiv - AI · 3 min ·
[2511.22076] Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents
Llms

[2511.22076] Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents

Abstract page for arXiv paper 2511.22076: Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in ...

arXiv - AI · 4 min ·
[2511.07719] Operational machine learning for remote spectroscopic detection of CH$_{4}$ point sources
Machine Learning

[2511.07719] Operational machine learning for remote spectroscopic detection of CH$_{4}$ point sources

Abstract page for arXiv paper 2511.07719: Operational machine learning for remote spectroscopic detection of CH$_{4}$ point sources

arXiv - AI · 4 min ·
[2602.01976] FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning
Machine Learning

[2602.01976] FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning

Abstract page for arXiv paper 2602.01976: FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Co...

arXiv - AI · 4 min ·
[2601.18858] Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer Language Model
Llms

[2601.18858] Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer Language Model

Abstract page for arXiv paper 2601.18858: Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer...

arXiv - AI · 4 min ·
[2510.05318] BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions
Llms

[2510.05318] BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions

Abstract page for arXiv paper 2510.05318: BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynami...

arXiv - AI · 4 min ·
[2601.14026] Universal Approximation Theorem for Input-Connected Multilayer Perceptrons
Machine Learning

[2601.14026] Universal Approximation Theorem for Input-Connected Multilayer Perceptrons

Abstract page for arXiv paper 2601.14026: Universal Approximation Theorem for Input-Connected Multilayer Perceptrons

arXiv - Machine Learning · 3 min ·
[2510.00415] Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm
Llms

[2510.00415] Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm

Abstract page for arXiv paper 2510.00415: Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration und...

arXiv - AI · 4 min ·
[2601.13698] Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation
Machine Learning

[2601.13698] Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation

Abstract page for arXiv paper 2601.13698: Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Es...

arXiv - AI · 4 min ·
[2601.09220] From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences
Machine Learning

[2601.09220] From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences

Abstract page for arXiv paper 2601.09220: From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences

arXiv - Machine Learning · 3 min ·
[2410.22492] RealCQA-V2: A Diagnostic Benchmark for Structured Visual Entailment over Scientific Charts
Machine Learning

[2410.22492] RealCQA-V2: A Diagnostic Benchmark for Structured Visual Entailment over Scientific Charts

Abstract page for arXiv paper 2410.22492: RealCQA-V2: A Diagnostic Benchmark for Structured Visual Entailment over Scientific Charts

arXiv - AI · 4 min ·
[2302.10426] An Accurate and Interpretable Framework for Trustworthy Process Monitoring
Machine Learning

[2302.10426] An Accurate and Interpretable Framework for Trustworthy Process Monitoring

Abstract page for arXiv paper 2302.10426: An Accurate and Interpretable Framework for Trustworthy Process Monitoring

arXiv - AI · 4 min ·
[2601.09166] DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix
Machine Learning

[2601.09166] DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix

Abstract page for arXiv paper 2601.09166: DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher ...

arXiv - Machine Learning · 4 min ·
[2603.23501] MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage
Llms

[2603.23501] MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage

Abstract page for arXiv paper 2603.23501: MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage

arXiv - AI · 4 min ·
[2512.06737] Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Aware, User-Controlled Step Dynamics (proof-of-concept)
Machine Learning

[2512.06737] Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Aware, User-Controlled Step Dynamics (proof-of-concept)

Abstract page for arXiv paper 2512.06737: Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Awa...

arXiv - AI · 4 min ·
[2512.04165] Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity
Machine Learning

[2512.04165] Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity

Abstract page for arXiv paper 2512.04165: Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity

arXiv - Machine Learning · 4 min ·
[2603.23485] Failure of contextual invariance in gender inference with large language models
Llms

[2603.23485] Failure of contextual invariance in gender inference with large language models

Abstract page for arXiv paper 2603.23485: Failure of contextual invariance in gender inference with large language models

arXiv - AI · 3 min ·
Previous Page 123 Next

Related Topics

Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI AI Safety & Ethics

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime