Imagen de Portada

SAGE: Semantic-Aware Shared Sampling for Efficient Diffusion

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhao, Haoran, Bai, Tong, Huang, Lei, Liang, Xiaoyu
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SAGE-Music: Low-Latency Symbolic Music Generation via Attribute-Specialized Key-Value Head Sharing
por: Tan, Jiaye, et al.
Publicado: (2025)

SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation
por: Yang, Shuo, et al.
Publicado: (2026)

Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
por: Liu, Xin, et al.
Publicado: (2025)

Cooperative Causal GraphSAGE
por: Xue, Zaifa, et al.
Publicado: (2025)

Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning
por: Shao, Zhiyu, et al.
Publicado: (2024)

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
por: Li, Yifei, et al.
Publicado: (2025)

SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network
por: Manca, Cristian, et al.
Publicado: (2026)

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
por: Mao, Liyuan, et al.
Publicado: (2024)

Discrete Diffusion with Sample-Efficient Estimators for Conditionals
por: Elamvazhuthi, Karthik, et al.
Publicado: (2026)

Fairness without Sensitive Attributes via Knowledge Sharing
por: Ni, Hongliang, et al.
Publicado: (2024)

SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
por: Wang, Sijia, et al.
Publicado: (2026)

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
por: Zhang, Yikun, et al.
Publicado: (2026)

Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
por: Li, Haoran, et al.
Publicado: (2025)

Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
por: Yu, Xudong, et al.
Publicado: (2024)

AutoSAGE: Input-Aware CUDA Scheduling for Sparse GNN Aggregation (SpMM/SDDMM) and CSR Attention
por: Stankovic, Aleksandar
Publicado: (2025)

Implicit Diffusion: Efficient Optimization through Stochastic Sampling
por: Marion, Pierre, et al.
Publicado: (2024)

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models
por: Jha, Basab, et al.
Publicado: (2025)

SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencoders
por: Venhoff, Constantin, et al.
Publicado: (2024)

SAGE-Amine: Generative Amine Design with Multi-Property Optimization for Efficient CO2 Capture
por: Lim, Hocheol, et al.
Publicado: (2025)

Sharpness-Aware Machine Unlearning
por: Tang, Haoran, et al.
Publicado: (2025)

Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?
por: Liang, Qiyao, et al.
Publicado: (2024)

Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees
por: Dmitriev, Daniil, et al.
Publicado: (2026)

Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
por: Huang, Xunpeng, et al.
Publicado: (2024)

Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
por: Fan, Chenyou, et al.
Publicado: (2024)

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
por: Huang, Yongqi, et al.
Publicado: (2025)

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds
por: Zhao, Boran, et al.
Publicado: (2025)

SAGE: Streaming Agreement-Driven Gradient Sketches for Representative Subset Selection
por: Jha, Ashish, et al.
Publicado: (2025)

An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling
por: Huang, Xunpeng, et al.
Publicado: (2024)

Sample-Efficient Diffusion-based Control of Complex Physics Systems
por: Chen, Hongyi, et al.
Publicado: (2025)

Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
por: Zhao, Anhao, et al.
Publicado: (2026)

SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior
por: Erdinc, Huseyin Tuna, et al.
Publicado: (2026)

Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation
por: Xie, Tong, et al.
Publicado: (2024)

Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
por: Ding, Shutong, et al.
Publicado: (2026)

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method
por: Polat, Suleyman Olcay, et al.
Publicado: (2025)

SAGE-32B: Agentic Reasoning via Iterative Distillation
por: Jha, Basab, et al.
Publicado: (2026)

SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery
por: Nasser, Sahar Almahfouz, et al.
Publicado: (2026)

Adaptive Sample Sharing for Multi Agent Linear Bandits
por: Cherkaoui, Hamza, et al.
Publicado: (2023)

Sample-Efficient Diffusion for Text-To-Speech Synthesis
por: Lovelace, Justin, et al.
Publicado: (2024)

Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning
por: Yu, Zhiyin, et al.
Publicado: (2026)

Breaking Semantic-Aware Watermarks via LLM-Guided Coherence-Preserving Semantic Injection
por: Gao, Zheng, et al.
Publicado: (2026)