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← Learning Types
Machine Learning
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Learning Types
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Machine Unlearning
87 papers
Papers per year
2019: 1
1
2020: 2
2
2021: 3
3
2022: 5
5
2023: 8
8
2024: 21
21
2025: 40
40
2026: 7
7
Papers
Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias
AAAI 2026
Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem
ACL 2026
Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation
ACL 2026
From Narrow Unlearning to Emergent Misalignment in LLMs
ACL 2026
The Silence of the Facts: Popularity as a Barrier to Machine Unlearning
ACL 2026
Thesis Proposal: Targeted and Unified Cross-Lingual Unlearning from Multilingual Language Models
ACL 2026
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
ACL 2026
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
AAAI 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective
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
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
AAAI 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
ReLearn: Unlearning via Learning for Large Language Models
ACL 2025
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
ACL 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
ACL 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
ACL 2025
Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning
ACL 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
ACL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging.
ACL 2025
NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology
ACL 2025
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