model retraining

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI ICLR 2025 How to Make Reproducible Research in Machine Unlearning with ERASURE IJCAI 2025 Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025 Machine Unlearning Fails to Remove Data Poisoning Attacks ICLR 2025 DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift NAACL 2024 Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining ICML 2024 Knowledge-Preserving Pluggable Modules for Multilingual Speech Translation Tasks Interspeech 2024 DetAIL: A Tool to Automatically Detect and Analyze Drift in Language AAAI 2023 MUter: Machine Unlearning on Adversarially Trained Models ICCV 2023 Churn Reduction via Distillation ICLR 2022 Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers NSDI 2022 Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels NeurIPS 2022 Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? EMNLP 2022 DeltaGrad: Rapid retraining of machine learning models ICML 2020