parameter update

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing EMNLP 2024 Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding AAAI 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 Unlearning from Weakly Supervised Learning IJCAI 2024 DiffTune$^+$: Hyperparameter-Free Auto-Tuning using Auto-Differentiation L4DC 2023 Language Anisotropic Cross-Lingual Model Editing ACL 2023 Propagating Knowledge Updates to LMs Through Distillation NeurIPS 2023 RECKONING: Reasoning through Dynamic Knowledge Encoding NeurIPS 2023 Tiny Updater: Towards Efficient Neural Network-Driven Software Updating ICCV 2023 Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions EMNLP 2022 Memory Augmented Optimizers for Deep Learning ICLR 2022 Meta-Learning for Online Update of Recommender Systems AAAI 2022 Multi-Task Learning as a Bargaining Game ICML 2022 ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022 Robust early-learning: Hindering the memorization of noisy labels ICLR 2021 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009