gradient updates

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching ICML 2025 GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data ICLR 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 Iterative Vectors: In-Context Gradient Steering without Backpropagation ICML 2025 Protein Structure Tokenization: Benchmarking and New Recipe ICML 2025 Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD ICML 2024 Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation ICLR 2023 Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning AAAI 2021 Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020 Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NeurIPS 2019 On the Convergence of Adam and Beyond ICLR 2018 Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NeurIPS 2015 On Learning Rotations NeurIPS 2009