Cover Image

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Fang, Zhao, Haokai, Xing, Da, Cao, Hanqun, Xu, Tinson, Li, Yanchao, Tang, Xiangru, Wang, Zehong, Tu, Aaron, Pang, Kuan, Wang, Hanchen, Lin, Hongbin, Zhou, Zeqi, Li, Yinxi, Xia, Peng, Li, Li Erran, Tao, Molei, Leskovec, Jure, Joshi, Aditya, Choi, Yejin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
by: Wu, Fang, et al.
Published: (2026)

When to Trust Context: Self-Reflective Debates for Context Reliability
by: Zhou, Zeqi, et al.
Published: (2025)

Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic Outcomes
by: Bereket, Michael, et al.
Published: (2025)

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
by: Wu, Fang, et al.
Published: (2025)

Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap
by: Chen, Tianlang, et al.
Published: (2026)

RelGNN: Composite Message Passing for Relational Deep Learning
by: Chen, Tianlang, et al.
Published: (2025)

Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs
by: Xu, Jialiang, et al.
Published: (2024)

Automated Hypothesis Validation with Agentic Sequential Falsifications
by: Huang, Kexin, et al.
Published: (2025)

Large Language Models are Good Relational Learners
by: Wu, Fang, et al.
Published: (2025)

A deep reinforcement learning platform for antibiotic discovery
by: Cao, Hanqun, et al.
Published: (2025)

TimeGraphs: Graph-based Temporal Reasoning
by: Maheshwari, Paridhi, et al.
Published: (2024)

TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
by: Li, Yinxi, et al.
Published: (2025)

RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
by: Chen, Tianlang, et al.
Published: (2025)

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
by: Huang, Qian, et al.
Published: (2023)

Provable Separations between Memorization and Generalization in Diffusion Models
by: Ye, Zeqi, et al.
Published: (2025)

Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
by: Sorensen, Taylor, et al.
Published: (2025)

Revealing Modular Gradient Noise Imbalance in LLMs: Calibrating Adam via Signal-to-Noise Ratio
by: Wen, Ziqing, et al.
Published: (2026)

AffordanceLLM: Grounding Affordance from Vision Language Models
by: Qian, Shengyi, et al.
Published: (2024)

Essential barrier height and a probabilistic approach in characterizing potential landscape
by: Li, Yao, et al.
Published: (2023)

Representation Learning for Frequent Subgraph Mining
by: Ying, Rex, et al.
Published: (2024)

Coordinated Sparse Recovery of Label Noise
by: Yang, Yukun, et al.
Published: (2024)

Noise effects on the diagnostics of quantum chaos
by: Li, Tingfei
Published: (2025)

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
by: Dwivedi, Vijay Prakash, et al.
Published: (2025)

NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
by: Wang, Tengkai, et al.
Published: (2025)

NoiseFormer -- Noise Diffused Symmetric Attention Transformer
by: Kumar, Phani, et al.
Published: (2026)

Variational Positive-incentive Noise: How Noise Benefits Models
by: Zhang, Hongyuan, et al.
Published: (2023)

FedRGL: Robust Federated Graph Learning for Label Noise
by: Li, De, et al.
Published: (2024)

Could Noise Become Beneficial? The Effect of Ambient Noise on Virtual Museum Engagement and Behavioural Intention
by: Yuansi Hou, et al.
Published: (2026)

Noise Dimension of GAN: An Image Compression Perspective
by: Zhu, Ziran, et al.
Published: (2024)

Adaptive Noise-Tolerant Network for Image Segmentation
by: Li, Weizhi
Published: (2025)

Multiplayer Nash Preference Optimization
by: Wu, Fang, et al.
Published: (2025)

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
by: Wang, Hanrui, et al.
Published: (2021)

A OHCs‐Targeted Strategy for PEDF Delivery in Noise‐Induced Hearing Loss
by: Zeqi Zhao, et al.
Published: (2025)

Noise Conditional Variational Score Distillation
by: Peng, Xinyu, et al.
Published: (2025)

LLMs generate structurally realistic social networks but overestimate political homophily
by: Chang, Serina, et al.
Published: (2024)

SeamlessEdit: Background Noise Aware Zero-Shot Speech Editing with in-Context Enhancement
by: Chen, Kuan-Yu, et al.
Published: (2025)

Supervisory Measurement-Guided Noise Covariance Estimation
by: Li, Haoying, et al.
Published: (2025)

Rethinking Quantum Noise in Quantum Machine Learning: When Noise Improves Learning
by: Zhu, Linghua, et al.
Published: (2026)

Surpassing Quantum Noise Limits with Nonlinear Amplification
by: Ren, Ya-Long, et al.
Published: (2026)

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
by: Wu, Tailin, et al.
Published: (2024)