LEGATO: Good Identity Unlearning Is Continuous
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Qiang, Cheng, Chun-Wun, Su, Xiu, Xu, Hongyan, Lin, Xi, You, Shan, Aviles-Rivero, Angelica I., Chen, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Product Interaction: An Algebraic Formalism for Deep Learning Architectures
by: Dong, Haonan, et al.
Published: (2026)
by: Dong, Haonan, et al.
Published: (2026)
SpectraKAN: Conditioning Spectral Operators
by: Cheng, Chun-Wun, et al.
Published: (2026)
by: Cheng, Chun-Wun, et al.
Published: (2026)
Graph Unlearning Meets Influence-aware Negative Preference Optimization
by: Chen, Qiang, et al.
Published: (2025)
by: Chen, Qiang, et al.
Published: (2025)
PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils
by: Cheng, Chun-Wun, et al.
Published: (2025)
by: Cheng, Chun-Wun, et al.
Published: (2025)
NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting
by: Xu, Huibo, et al.
Published: (2025)
by: Xu, Huibo, et al.
Published: (2025)
CATO: Charted Attention for Neural PDE Operators
by: Cheng, Chun-Wun, et al.
Published: (2026)
by: Cheng, Chun-Wun, et al.
Published: (2026)
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
by: Aviles-Rivero, Angelica I., et al.
Published: (2024)
by: Aviles-Rivero, Angelica I., et al.
Published: (2024)
Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models
by: Zhang, Yi, et al.
Published: (2026)
by: Zhang, Yi, et al.
Published: (2026)
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
by: Cheng, Chun-Wun, et al.
Published: (2024)
by: Cheng, Chun-Wun, et al.
Published: (2024)
Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning
by: Xia, Yanming, et al.
Published: (2026)
by: Xia, Yanming, et al.
Published: (2026)
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
by: Cheng, Chun-Wun, et al.
Published: (2025)
by: Cheng, Chun-Wun, et al.
Published: (2025)
The Missing U for Efficient Diffusion Models
by: Calvo-Ordonez, Sergio, et al.
Published: (2023)
by: Calvo-Ordonez, Sergio, et al.
Published: (2023)
DeCoP: Enhancing Self-Supervised Time Series Representation with Dependency Controlled Pre-training
by: Wu, Yuemin, et al.
Published: (2025)
by: Wu, Yuemin, et al.
Published: (2025)
Don't Fix the Basis -- Learn It: Spectral Representation with Adaptive Basis Learning for PDEs
by: Zhao, Xuxiang, et al.
Published: (2026)
by: Zhao, Xuxiang, et al.
Published: (2026)
Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
by: Zhang, Xiang, et al.
Published: (2025)
by: Zhang, Xiang, et al.
Published: (2025)
Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
by: Yu, Guoqi, et al.
Published: (2026)
by: Yu, Guoqi, et al.
Published: (2026)
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
by: Yu, Guoqi, et al.
Published: (2024)
by: Yu, Guoqi, et al.
Published: (2024)
CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic
by: Lin, Shen, et al.
Published: (2026)
by: Lin, Shen, et al.
Published: (2026)
Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection
by: Huang, Tairan, et al.
Published: (2026)
by: Huang, Tairan, et al.
Published: (2026)
An Unlearning Framework for Continual Learning
by: Adhikari, Sayanta, et al.
Published: (2025)
by: Adhikari, Sayanta, et al.
Published: (2025)
A Fourier Neural Operator Approach for Modelling Exciton-Polariton Condensate Systems
by: Wang, Yuan, et al.
Published: (2023)
by: Wang, Yuan, et al.
Published: (2023)
Toward Efficient Data-Free Unlearning
by: Zhang, Chenhao, et al.
Published: (2024)
by: Zhang, Chenhao, et al.
Published: (2024)
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios
by: Huang, Tao, et al.
Published: (2024)
by: Huang, Tao, et al.
Published: (2024)
Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning
by: Mei, Tiehua, et al.
Published: (2026)
by: Mei, Tiehua, et al.
Published: (2026)
NoT: Federated Unlearning via Weight Negation
by: Khalil, Yasser H., et al.
Published: (2025)
by: Khalil, Yasser H., et al.
Published: (2025)
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
by: Lee, Justin, et al.
Published: (2025)
by: Lee, Justin, et al.
Published: (2025)
Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models
by: Li, Wenhao, et al.
Published: (2023)
by: Li, Wenhao, et al.
Published: (2023)
Machine Unlearning for Streaming Forgetting
by: Shen, Shaofei, et al.
Published: (2025)
by: Shen, Shaofei, et al.
Published: (2025)
Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps
by: Träuble, Jakob, et al.
Published: (2024)
by: Träuble, Jakob, et al.
Published: (2024)
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
by: Yu, Guoqi, et al.
Published: (2025)
by: Yu, Guoqi, et al.
Published: (2025)
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
by: Patel, Gaurav, et al.
Published: (2025)
by: Patel, Gaurav, et al.
Published: (2025)
A Unified Framework for Continual Learning and Unlearning
by: Chatterjee, Romit, et al.
Published: (2024)
by: Chatterjee, Romit, et al.
Published: (2024)
Machine Unlearning for Image-to-Image Generative Models
by: Li, Guihong, et al.
Published: (2024)
by: Li, Guihong, et al.
Published: (2024)
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
by: Lin, Yujie, et al.
Published: (2026)
by: Lin, Yujie, et al.
Published: (2026)
Unlearning Evaluation through Subset Statistical Independence
by: Zhang, Chenhao, et al.
Published: (2026)
by: Zhang, Chenhao, et al.
Published: (2026)
Community-Centric Graph Unlearning
by: Li, Yi, et al.
Published: (2024)
by: Li, Yi, et al.
Published: (2024)
Adversarial Mixup Unlearning
by: Peng, Zhuoyi, et al.
Published: (2025)
by: Peng, Zhuoyi, et al.
Published: (2025)
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
by: Huang, Zhehao, et al.
Published: (2025)
by: Huang, Zhehao, et al.
Published: (2025)
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey
by: Xu, Yi
Published: (2024)
by: Xu, Yi
Published: (2024)
Similar Items
-
Product Interaction: An Algebraic Formalism for Deep Learning Architectures
by: Dong, Haonan, et al.
Published: (2026) -
SpectraKAN: Conditioning Spectral Operators
by: Cheng, Chun-Wun, et al.
Published: (2026) -
Graph Unlearning Meets Influence-aware Negative Preference Optimization
by: Chen, Qiang, et al.
Published: (2025) -
PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils
by: Cheng, Chun-Wun, et al.
Published: (2025) -
NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting
by: Xu, Huibo, et al.
Published: (2025)