Видео ютуба по тегу Sparse Memory Fine Tuning

Sparse Memory Finetuning: Continual Learning for LLMs with Minimal Forgetting
Sparse Memory Finetuning: Continual Learning for LLMs with Minimal Forgetting
The AI That Can t Forget: Continual Learning via Sparse Memory Finetuning
The AI That Can t Forget: Continual Learning via Sparse Memory Finetuning
Sparse Memory Finetuning for Continual LMs
Sparse Memory Finetuning for Continual LMs
Continual Learning via Sparse Memory Finetuning (Oct 2025)
Continual Learning via Sparse Memory Finetuning (Oct 2025)
Continual Learning via Sparse Memory Finetuning
Continual Learning via Sparse Memory Finetuning
Проблема непрерывного обучения: тонкая настройка разреженной памяти
Проблема непрерывного обучения: тонкая настройка разреженной памяти
Use Sparse Transfer Learning to Create Sparse Models Fine-Tuned to Your Datasets
Use Sparse Transfer Learning to Create Sparse Models Fine-Tuned to Your Datasets
SparseLoRA: Faster LLM Fine-Tuning
SparseLoRA: Faster LLM Fine-Tuning
How Well Do Sparse Models Transfer?
How Well Do Sparse Models Transfer?
Attention Approximates Sparse Distributed Memory
Attention Approximates Sparse Distributed Memory
Разреженные подсети и эффективность нейронных сетей: больше с меньшими затратами | Uplatz
Разреженные подсети и эффективность нейронных сетей: больше с меньшими затратами | Uplatz
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
Разреженные прайминговые представления — секретный ингредиент масштабируемой памяти искусственног...
Разреженные прайминговые представления — секретный ингредиент масштабируемой памяти искусственног...
InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Lan
InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Lan
MemMamba: Fixing Long-Range Memory in SSMs
MemMamba: Fixing Long-Range Memory in SSMs
Hoagy Cunningham — Finding distributed features in LLMs with sparse autoencoders [TAIS 2024]
Hoagy Cunningham — Finding distributed features in LLMs with sparse autoencoders [TAIS 2024]
Part 4 : attention approximates sparse distributed memory
Part 4 : attention approximates sparse distributed memory
The Paradox of Working Memory: Balancing Chaos and Stability (2512.12767)
The Paradox of Working Memory: Balancing Chaos and Stability (2512.12767)
How might LLMs store facts | Deep Learning Chapter 7
How might LLMs store facts | Deep Learning Chapter 7
DeepSeek's Native Sparse Attention: How AI Learns to Skim and Speed Up 11x
DeepSeek's Native Sparse Attention: How AI Learns to Skim and Speed Up 11x