Saved in:
| Main Authors: | Tarun, Ayush K, Chundawat, Vikram S, Mandal, Murari, Tan, Hong Ming, Chen, Bowei, Kankanhalli, Mohan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.09288 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Unified Framework for Continual Learning and Unlearning
by: Chatterjee, Romit, et al.
Published: (2024)
by: Chatterjee, Romit, et al.
Published: (2024)
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
by: Chundawat, Vikram S, et al.
Published: (2022)
by: Chundawat, Vikram S, et al.
Published: (2022)
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
by: Sinha, Yash, et al.
Published: (2023)
by: Sinha, Yash, et al.
Published: (2023)
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
by: Sinha, Yash, et al.
Published: (2024)
by: Sinha, Yash, et al.
Published: (2024)
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
by: Sinha, Yash, et al.
Published: (2024)
by: Sinha, Yash, et al.
Published: (2024)
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models
by: Sharma, Aakash Sen, et al.
Published: (2024)
by: Sharma, Aakash Sen, et al.
Published: (2024)
ConDa: Fast Federated Unlearning with Contribution Dampening
by: Chundawat, Vikram S, et al.
Published: (2024)
by: Chundawat, Vikram S, et al.
Published: (2024)
Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents
by: Talokar, Nivya, et al.
Published: (2026)
by: Talokar, Nivya, et al.
Published: (2026)
LossVal: Efficient Data Valuation for Neural Networks
by: Wibiral, Tim, et al.
Published: (2024)
by: Wibiral, Tim, et al.
Published: (2024)
LiveVal: Time-aware Data Valuation via Adaptive Reference Points
by: Xu, Jie, et al.
Published: (2025)
by: Xu, Jie, et al.
Published: (2025)
Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
by: Jia, Renqi, et al.
Published: (2025)
by: Jia, Renqi, et al.
Published: (2025)
Learning to Predict Gradients for Semi-Supervised Continual Learning
by: Luo, Yan, et al.
Published: (2022)
by: Luo, Yan, et al.
Published: (2022)
Hallucination is Inevitable: An Innate Limitation of Large Language Models
by: Xu, Ziwei, et al.
Published: (2024)
by: Xu, Ziwei, et al.
Published: (2024)
OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs
by: Sanyal, Debdeep, et al.
Published: (2025)
by: Sanyal, Debdeep, et al.
Published: (2025)
Reasoning LLMs are Wandering Solution Explorers
by: Lu, Jiahao, et al.
Published: (2025)
by: Lu, Jiahao, et al.
Published: (2025)
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
by: Cai, Huaiguang
Published: (2024)
by: Cai, Huaiguang
Published: (2024)
MCM: Multi-condition Motion Synthesis Framework
by: Ling, Zeyu, et al.
Published: (2024)
by: Ling, Zeyu, et al.
Published: (2024)
On the Usage of Gaussian Process for Efficient Data Valuation
by: Bénesse, Clément, et al.
Published: (2025)
by: Bénesse, Clément, et al.
Published: (2025)
Forgetting is Competition: Rethinking Unlearning as Representation Interference in Diffusion Models
by: Ranjan, Ashutosh, et al.
Published: (2026)
by: Ranjan, Ashutosh, et al.
Published: (2026)
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
by: Tian, Xiao, et al.
Published: (2023)
by: Tian, Xiao, et al.
Published: (2023)
Revisiting Multilingual Data Mixtures in Language Model Pretraining
by: Foroutan, Negar, et al.
Published: (2025)
by: Foroutan, Negar, et al.
Published: (2025)
Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models
by: Sinha, Yash, et al.
Published: (2025)
by: Sinha, Yash, et al.
Published: (2025)
A Family of Adaptive Activation Functions for Mitigating Failure Modes in Physics-Informed Neural Networks
by: Murari, Krishna
Published: (2026)
by: Murari, Krishna
Published: (2026)
Fair Deepfake Detectors Can Generalize
by: Cheng, Harry, et al.
Published: (2025)
by: Cheng, Harry, et al.
Published: (2025)
SAVA: Scalable Learning-Agnostic Data Valuation
by: Kessler, Samuel, et al.
Published: (2024)
by: Kessler, Samuel, et al.
Published: (2024)
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
by: Wei, Shuyue, et al.
Published: (2025)
by: Wei, Shuyue, et al.
Published: (2025)
Data Distribution Valuation
by: Xu, Xinyi, et al.
Published: (2024)
by: Xu, Xinyi, et al.
Published: (2024)
Towards Data Valuation via Asymmetric Data Shapley
by: Zheng, Xi, et al.
Published: (2024)
by: Zheng, Xi, et al.
Published: (2024)
Translution: Unifying Self-attention and Convolution for Adaptive and Relative Modeling
by: Fan, Hehe, et al.
Published: (2025)
by: Fan, Hehe, et al.
Published: (2025)
DUPRE: Data Utility Prediction for Efficient Data Valuation
by: Pham, Kieu Thao Nguyen, et al.
Published: (2025)
by: Pham, Kieu Thao Nguyen, et al.
Published: (2025)
time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models
by: Sanyal, Debdeep, et al.
Published: (2025)
by: Sanyal, Debdeep, et al.
Published: (2025)
Realistic Image-to-Image Machine Unlearning via Decoupling and Knowledge Retention
by: Varshney, Ayush K., et al.
Published: (2025)
by: Varshney, Ayush K., et al.
Published: (2025)
Data Valuation and Detections in Federated Learning
by: Li, Wenqian, et al.
Published: (2023)
by: Li, Wenqian, et al.
Published: (2023)
Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, et al.
Published: (2025)
by: Ma, Le, et al.
Published: (2025)
Lightweight and Robust Federated Data Valuation
by: Tang, Guojun, et al.
Published: (2025)
by: Tang, Guojun, et al.
Published: (2025)
A Rapid Physics-Informed Machine Learning Framework Based on Extreme Learning Machine for Inverse Stefan Problems
by: Zhuang, Pei-Zhi, et al.
Published: (2025)
by: Zhuang, Pei-Zhi, et al.
Published: (2025)
Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation
by: Yang, Xuan, et al.
Published: (2026)
by: Yang, Xuan, et al.
Published: (2026)
Temporal-Decay Shapley: A Time-Aware Data Valuation Framework for Time-Series Data
by: Pang, Chuwen, et al.
Published: (2026)
by: Pang, Chuwen, et al.
Published: (2026)
Is Data Valuation Learnable and Interpretable?
by: Wu, Ou, et al.
Published: (2024)
by: Wu, Ou, et al.
Published: (2024)
Efficient Extractive Text Summarization for Online News Articles Using Machine Learning
by: Biswas, Sajib, et al.
Published: (2025)
by: Biswas, Sajib, et al.
Published: (2025)
Similar Items
-
A Unified Framework for Continual Learning and Unlearning
by: Chatterjee, Romit, et al.
Published: (2024) -
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
by: Chundawat, Vikram S, et al.
Published: (2022) -
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
by: Sinha, Yash, et al.
Published: (2023) -
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
by: Sinha, Yash, et al.
Published: (2024) -
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
by: Sinha, Yash, et al.
Published: (2024)