:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Madhyastha, Meghana, Haziza, Daniel, Cai, Jesse, Ardalani, Newsha, Bu, Zhiqi, Wu, Carole-Jean
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2602.06183
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Accelerating Transformer Inference and Training with 2:4 Activation Sparsity
par: Haziza, Daniel, et autres
Publié: (2025)

Composer: A Search Framework for Hybrid Neural Architecture Design
par: Acun, Bilge, et autres
Publié: (2025)

Masked Matrix Multiplication for Emergent Sparsity
par: Wheatman, Brian, et autres
Publié: (2024)

MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems
par: Hsia, Samuel, et autres
Publié: (2023)

Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead
par: Kang, Feiyang, et autres
Publié: (2025)

Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
par: Kang, Feiyang, et autres
Publié: (2025)

CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization
par: Wang, Irene, et autres
Publié: (2025)

Towards Decentralized and Sustainable Foundation Model Training with the Edge
par: Xue, Leyang, et autres
Publié: (2025)

Sieve: Multimodal Dataset Pruning Using Image Captioning Models
par: Mahmoud, Anas, et autres
Publié: (2023)

On Harnessing Idle Compute at the Edge for Foundation Model Training
par: Xue, Leyang, et autres
Publié: (2025)

Accelerating Transformer Pre-training with 2:4 Sparsity
par: Hu, Yuezhou, et autres
Publié: (2024)

Annotating the Pangenome Reveals the Diversity in the Genetic Basis for Metabolic Enzymes
par: Ardalani, Omid
Publié: (2025)

Text Quality-Based Pruning for Efficient Training of Language Models
par: Sharma, Vasu, et autres
Publié: (2024)

ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity
par: Li, Jiaxi, et autres
Publié: (2026)

Training-Free Activation Sparsity in Large Language Models
par: Liu, James, et autres
Publié: (2024)

Case report of high origin of radial, ulnar, and profunda brachii arteries, its clinical implications and review of the literature
par: Sampath Madhyastha
Publié: (2009)

A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility
par: Madhyastha, Pranava
Publié: (2026)

Scaling depth capacity via zero/one-layer model expansion
par: Bu, Zhiqi
Publié: (2025)

Exploring the Benefit of Activation Sparsity in Pre-training
par: Zhang, Zhengyan, et autres
Publié: (2024)

Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
par: Li, Zexi, et autres
Publié: (2024)

SparseInfer: Training-free Prediction of Activation Sparsity for Fast LLM Inference
par: Shin, Jiho, et autres
Publié: (2024)

Machine learning methods for finite population parameter estimation in survey sampling
par: Dagdoug, Mehdi, et autres
Publié: (2026)

Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity
par: Xu, Haotian, et autres
Publié: (2025)

Noise or Nuance: An Investigation Into Useful Information and Filtering For LLM Driven AKBC
par: Clay, Alex, et autres
Publié: (2025)

Sparsity-Accelerated Training for Large Language Models
par: Ma, Da, et autres
Publié: (2024)

LLM-Assisted Visual Analytics: Opportunities and Challenges
par: Hutchinson, Maeve, et autres
Publié: (2024)

Pre-training Differentially Private Models with Limited Public Data
par: Bu, Zhiqi, et autres
Publié: (2024)

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
par: Zhang, Rongyu, et autres
Publié: (2024)

Variable Selection for Linear Regression Imputation in Surveys
par: An, Ziming, et autres
Publié: (2026)

Joint Training Across Multiple Activation Sparsity Regimes
par: Wang, Haotian
Publié: (2026)

Post-Training Statistical Calibration for Higher Activation Sparsity
par: Chua, Vui Seng, et autres
Publié: (2024)

Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity
par: Madhyastha, Pranava, et autres
Publié: (2026)

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection
par: Xu, Shiyun, et autres
Publié: (2025)

Gradient descent with generalized Newton's method
par: Bu, Zhiqi, et autres
Publié: (2024)

Towards hyperparameter-free optimization with differential privacy
par: Bu, Zhiqi, et autres
Publié: (2025)

Beyond Public Access in LLM Pre-Training Data
par: Rosenblat, Sruly, et autres
Publié: (2025)

Towards Precise Detection of Personal Information Leaks in Mobile Health Apps
par: Ardalani, Alireza, et autres
Publié: (2024)

Wasserstein Distances, Neuronal Entanglement, and Sparsity
par: Sawmya, Shashata, et autres
Publié: (2024)

PowLU: An Activation Function for Stable Pre-Training of LLMs
par: Jiang, Peijie, et autres
Publié: (2026)

Beyond Efficiency: Scaling AI Sustainably
par: Wu, Carole-Jean, et autres
Publié: (2024)