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Machine Learning

Self-Explanation Training Tracks Behavioral Change Despite Fixed Supervision

By adminNovember 10, 20260

[Submitted on 30 Jun 2026 (v1), last revised 8 Nov 2026 (this version, v2)] View a PDF of the paper…

Machine Learning

Implicit Bias in State Space Models and Linear Autoregressive Training

By adminNovember 10, 20260

arXiv:2611.10237v1 Announce Type: new Abstract: Linear State Space Models (SSMs) and linear autoregressive sequence models reuse the same parameters across…

AI Tools & Software

Training and Finetuning Reranker Models with Sentence Transformers

By adminNovember 10, 20260

Sentence Transformers is a Python library for using and training embedding and reranker models for a wide range of applications,…

Machine Learning

ResQAdam: Residual-Preserving Adaptive Optimization for Memory-Efficient Quantization Aware Training

By adminNovember 10, 20260

arXiv:2611.08924v1 Announce Type: new Abstract: Quantization-aware training (QAT) is the most reliable way to obtain accurate low-bit large language models…

AI Tools & Software

Introducing Training Cluster as a Service

By adminNovember 9, 20260

Today at GTC Paris, we are excited to announce Training Cluster as a Service in collaboration with NVIDIA, to make…

AI Tools & Software

Training and Finetuning Sparse Embedding Models with Sentence Transformers

By adminNovember 9, 20260

Sentence Transformers is a Python library for using and training dense embedding, reranker (cross encoder), and sparse embedding models for…

AI Tools & Software

Early Training Evaluation of Language Models

By adminNovember 9, 20260

Join us in building benchmarks that capture early-stage reasoning & scientific knowledge in LLMs! The development of Large Language Models…

Machine Learning

[2611.08787] Training Stability under Adaptive Curricula

By adminNovember 9, 20260

[Submitted on 5 Nov 2026] View a PDF of the paper titled Training Stability under Adaptive Curricula, by Johan Obando-Ceron…

Machine Learning

End-to-end Training and Zero-shot Transfer

By adminNovember 9, 20260

[Submitted on 27 Mar 2026 (v1), last revised 5 Nov 2026 (this version, v2)] View a PDF of the paper…

AI Tools & Software

A guide to Efficient Multi-GPU Training

By adminNovember 9, 20260

Training large models across multiple GPUs can be challenging due to the complexities of different parallelism strategies. In Accelerate, together…

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Browsing: Training

Self-Explanation Training Tracks Behavioral Change Despite Fixed Supervision

Implicit Bias in State Space Models and Linear Autoregressive Training

Training and Finetuning Reranker Models with Sentence Transformers

ResQAdam: Residual-Preserving Adaptive Optimization for Memory-Efficient Quantization Aware Training

Introducing Training Cluster as a Service

Training and Finetuning Sparse Embedding Models with Sentence Transformers

Early Training Evaluation of Language Models

[2611.08787] Training Stability under Adaptive Curricula

End-to-end Training and Zero-shot Transfer

A guide to Efficient Multi-GPU Training

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Shaping & Monitoring Models through their Internal Representations

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MammothDP: Private Boosted Decision Trees Ready for Trusted Hardware and Leakage-free Hyperparameters

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Data-Driven Discovery of First Integrals via Backward Generation and Guided Reinforcement Learning

Hugging Face + PyCharm

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MammothDP: Private Boosted Decision Trees Ready for Trusted Hardware and Leakage-free Hyperparameters

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Browsing: Training