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Machine Unlearning
81 directly classified papers
Papers per year
2019: 1
2020: 2
2021: 3
2022: 5
2023: 8
2024: 21
2025: 40
2026: 1
Papers
Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias
AAAI 2026
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking
ACL 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels
ICCV 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
ACL 2025
Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning
ACL 2025
NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology
ACL 2025
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
AAAI 2025
ReLearn: Unlearning via Learning for Large Language Models
ACL 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
ACL 2025
Zero-Shot Class Unlearning in CLIP with Synthetic Samples
WACV 2025
Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models
CVPR 2025
ESC: Erasing Space Concept for Knowledge Deletion
CVPR 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging.
ACL 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
ACL 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
CVPR 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective
AAAI 2025
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
AAAI 2025
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
AAAI 2025
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
AAAI 2025
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
AAAI 2025
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
AAAI 2025
Community-Centric Graph Unlearning
AAAI 2025
Toward Efficient Data-Free Unlearning
AAAI 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
ACL 2025
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