Machine Learning

ML algorithms, training, and inference

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

Top This Week

Machine Learning

Meta Unveils New A.I. Model, Its First From the Superintelligence Lab

Meta has introduced a new A.I. model, marking the first release from its Superintelligence Lab.

AI Tools & Products · 1 min ·
Anthropic’s ‘Claude Mythos’ model sparks fear of AI doomsday if released to public: ‘Weapons we can’t even envision’
Llms

Anthropic’s ‘Claude Mythos’ model sparks fear of AI doomsday if released to public: ‘Weapons we can’t even envision’

Anthropic has triggered alarm bells by touting the terrifying capabilities of “Claude Mythos” – with executives warning the new AI model ...

AI Tools & Products · 6 min ·
Meta’s New AI Model Gives Mark Zuckerberg a Seat at the Big Kid’s Table
Machine Learning

Meta’s New AI Model Gives Mark Zuckerberg a Seat at the Big Kid’s Table

Muse Spark is Meta’s first model since its AI reboot, and the benchmarks suggest formidable performance.

Wired - AI · 6 min ·

All Content

[2510.01169] Fiaingen: A financial time series generative method matching real-world data quality
Machine Learning

[2510.01169] Fiaingen: A financial time series generative method matching real-world data quality

Abstract page for arXiv paper 2510.01169: Fiaingen: A financial time series generative method matching real-world data quality

arXiv - Machine Learning · 4 min ·
[2509.24140] A signal separation view of classification
Machine Learning

[2509.24140] A signal separation view of classification

Abstract page for arXiv paper 2509.24140: A signal separation view of classification

arXiv - Machine Learning · 3 min ·
[2508.17381] DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning
Machine Learning

[2508.17381] DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning

Abstract page for arXiv paper 2508.17381: DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning

arXiv - Machine Learning · 3 min ·
[2508.02330] A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps
Machine Learning

[2508.02330] A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps

Abstract page for arXiv paper 2508.02330: A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps

arXiv - Machine Learning · 4 min ·
[2507.21037] When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding
Llms

[2507.21037] When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject Motor Imagery Decoding

Abstract page for arXiv paper 2507.21037: When Brain Foundation Model Meets Cauchy-Schwarz Divergence: A New Framework for Cross-Subject ...

arXiv - Machine Learning · 4 min ·
[2507.07580] COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
Machine Learning

[2507.07580] COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation

Abstract page for arXiv paper 2507.07580: COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation

arXiv - Machine Learning · 4 min ·
[2506.06482] TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
Machine Learning

[2506.06482] TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness

Abstract page for arXiv paper 2506.06482: TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness

arXiv - Machine Learning · 4 min ·
[2506.06303] Reward Is Enough: LLMs Are In-Context Reinforcement Learners
Llms

[2506.06303] Reward Is Enough: LLMs Are In-Context Reinforcement Learners

Abstract page for arXiv paper 2506.06303: Reward Is Enough: LLMs Are In-Context Reinforcement Learners

arXiv - Machine Learning · 4 min ·
[2506.04831] EHR2Path: Scalable Modeling of Longitudinal Patient Pathways from Multimodal Electronic Health Records
Machine Learning

[2506.04831] EHR2Path: Scalable Modeling of Longitudinal Patient Pathways from Multimodal Electronic Health Records

Abstract page for arXiv paper 2506.04831: EHR2Path: Scalable Modeling of Longitudinal Patient Pathways from Multimodal Electronic Health ...

arXiv - Machine Learning · 4 min ·
[2505.22785] Navigating the Latent Space Dynamics of Neural Models
Machine Learning

[2505.22785] Navigating the Latent Space Dynamics of Neural Models

Abstract page for arXiv paper 2505.22785: Navigating the Latent Space Dynamics of Neural Models

arXiv - Machine Learning · 4 min ·
[2505.16950] Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning
Llms

[2505.16950] Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning

Abstract page for arXiv paper 2505.16950: Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning

arXiv - Machine Learning · 4 min ·
[2505.15516] Explainable embeddings with Distance Explainer
Machine Learning

[2505.15516] Explainable embeddings with Distance Explainer

Abstract page for arXiv paper 2505.15516: Explainable embeddings with Distance Explainer

arXiv - Machine Learning · 4 min ·
[2502.01521] Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
Machine Learning

[2502.01521] Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning

Abstract page for arXiv paper 2502.01521: Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning

arXiv - Machine Learning · 3 min ·
[2409.11847] An efficient wavelet-based physics-informed neural network for multiscale problems
Machine Learning

[2409.11847] An efficient wavelet-based physics-informed neural network for multiscale problems

Abstract page for arXiv paper 2409.11847: An efficient wavelet-based physics-informed neural network for multiscale problems

arXiv - Machine Learning · 4 min ·
[2406.01969] Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training
Machine Learning

[2406.01969] Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training

Abstract page for arXiv paper 2406.01969: Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training

arXiv - Machine Learning · 4 min ·
[2210.11039] Entire Space Counterfactual Learning for Reliable Content Recommendations
Machine Learning

[2210.11039] Entire Space Counterfactual Learning for Reliable Content Recommendations

Abstract page for arXiv paper 2210.11039: Entire Space Counterfactual Learning for Reliable Content Recommendations

arXiv - Machine Learning · 4 min ·
[2603.24567] Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
Machine Learning

[2603.24567] Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling

Abstract page for arXiv paper 2603.24567: Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling

arXiv - Machine Learning · 3 min ·
[2603.24481] Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQA
Machine Learning

[2603.24481] Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQA

Abstract page for arXiv paper 2603.24481: Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical...

arXiv - Machine Learning · 4 min ·
[2603.24436] Enes Causal Discovery
Machine Learning

[2603.24436] Enes Causal Discovery

Abstract page for arXiv paper 2603.24436: Enes Causal Discovery

arXiv - AI · 3 min ·
[2603.24472] Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
Llms

[2603.24472] Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

Abstract page for arXiv paper 2603.24472: Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?

arXiv - Machine Learning · 3 min ·
Previous Page 156 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