conftrace_

model update

27 papers

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Co-occurring keywords

large language model (13587) federated learning (1333) incremental learning (278) data deletion (17) dialog system (218) model updating (8) neural network (6616) negative flip rate (2) personalized objective function (2) recommender system (534)

Papers

Joint Knowledge Editing for Information Enrichment and Probability Promotion AAAI 2025
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection CVPR 2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation EMNLP 2025
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models EMNLP 2024
MUSCLE: A Model Update Strategy for Compatible LLM Evolution EMNLP 2024
Emergent specialization from participation dynamics and multi-learner retraining AISTATS 2024
Backward Compatibility During Data Updates by Weight Interpolation EACL 2024
Towards the Robustness of Differentially Private Federated Learning AAAI 2024
QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models NSDI 2024
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization EMNLP 2024
Regression-Free Model Updates for Spoken Language Understanding ACL 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten ICML 2023
Unlearn What You Want to Forget: Efficient Unlearning for LLMs EMNLP 2023
Error Amplification When Updating Deployed Machine Learning Models MLHC 2022
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update OSDI 2022
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates ACL 2021
Machine Unlearning for Random Forests ICML 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions AAAI 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract) AAAI 2021
Differentially Private Learning with Adaptive Clipping NIPS 2021
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates IJCNLP 2021
RelaySum for Decentralized Deep Learning on Heterogeneous Data NIPS 2021
Overcoming Conflicting Data when Updating a Neural Semantic Parser EMNLP 2021