Copertina

Critic-Guided Reinforcement Unlearning in Text-to-Image Diffusion

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Vysotskyi, Mykola, Kohut, Zahar, Shpir, Mariia, Rumezhak, Taras, Karpiv, Volodymyr
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Just on Time: Token-Level Early Stopping for Diffusion Language Models
di: Kohut, Zahar, et al.
Pubblicazione: (2026)

License Plate Images Generation with Diffusion Models
di: Shpir, Mariia, et al.
Pubblicazione: (2025)

Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
di: Lee, Justin, et al.
Pubblicazione: (2025)

Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models
di: Sharma, Aakash Sen, et al.
Pubblicazione: (2024)

Automated Instruction Revision (AIR): A Structured Comparison of Task Adaptation Strategies for LLM
di: Bilyk, Solomiia, et al.
Pubblicazione: (2026)

Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information
di: Cheng, Xinwen, et al.
Pubblicazione: (2026)

Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
di: Moon, Saemi, et al.
Pubblicazione: (2024)

Machine learning based animal emotion classification using audio signals
di: Slobodian, Mariia, et al.
Pubblicazione: (2025)

Distill, Forget, Repeat: A Framework for Continual Unlearning in Text-to-Image Diffusion Models
di: George, Naveen, et al.
Pubblicazione: (2025)

Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
di: Fuchi, Masane, et al.
Pubblicazione: (2024)

Reinforcement Unlearning
di: Ye, Dayong, et al.
Pubblicazione: (2023)

Can Continuous-Time Diffusion Models Generate and Solve Globally Constrained Discrete Problems? A Study on Sudoku
di: Drozdova, Mariia
Pubblicazione: (2026)

Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models
di: Shin, Jiwoo, et al.
Pubblicazione: (2025)

Unlearning Concepts from Text-to-Video Diffusion Models
di: Liu, Shiqi, et al.
Pubblicazione: (2024)

Reference-Guided Machine Unlearning
di: Mirlach, Jonas, et al.
Pubblicazione: (2026)

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
di: Ko, Myeongseob, et al.
Pubblicazione: (2024)

Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
di: Wang, Sheng-Yu, et al.
Pubblicazione: (2024)

Distributional Reinforcement Learning with Diffusion Bridge Critics
di: Ding, Shutong, et al.
Pubblicazione: (2026)

Data Unlearning in Diffusion Models
di: Alberti, Silas, et al.
Pubblicazione: (2025)

DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models
di: Chen, Jingyi, et al.
Pubblicazione: (2024)

SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
di: Li, Na, et al.
Pubblicazione: (2025)

CUFG: Curriculum Unlearning Guided by the Forgetting Gradient
di: Miao, Jiaxing, et al.
Pubblicazione: (2025)

Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
di: Provodin, Danil, et al.
Pubblicazione: (2024)

How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences
di: Seleznova, Mariia
Pubblicazione: (2026)

Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
di: Na, Byeonghu, et al.
Pubblicazione: (2025)

Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
di: Cadet, Xavier F., et al.
Pubblicazione: (2024)

Prior-Guided Diffusion Planning for Offline Reinforcement Learning
di: Ki, Donghyeon, et al.
Pubblicazione: (2025)

WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification
di: Tran, Thang Duc, et al.
Pubblicazione: (2025)

Text Diffusion with Reinforced Conditioning
di: Liu, Yuxuan, et al.
Pubblicazione: (2024)

Reinforcement Unlearning via Group Relative Policy Optimization
di: Zaradoukas, Efstratios, et al.
Pubblicazione: (2026)

A Critical Look At Tokenwise Reward-Guided Text Generation
di: Rashid, Ahmad, et al.
Pubblicazione: (2024)

Contextualized Diffusion Models for Text-Guided Image and Video Generation
di: Yang, Ling, et al.
Pubblicazione: (2024)

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

AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion
di: Xie, Yuting, et al.
Pubblicazione: (2024)

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
di: Liu, Xu-Hui, et al.
Pubblicazione: (2024)

MeGU: Machine-Guided Unlearning with Target Feature Disentanglement
di: Wang, Haoyu, et al.
Pubblicazione: (2026)

Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models
di: Lee, Kyungryeol, et al.
Pubblicazione: (2026)

Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
di: Fang, Linjiajie, et al.
Pubblicazione: (2024)

Distribution-Guided and Constrained Quantum Machine Unlearning
di: Malik, Nausherwan, et al.
Pubblicazione: (2026)

DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking
di: Turok, Gilad, et al.
Pubblicazione: (2026)