gradient variance

AdvFM: Lookahead Flow-Matching Velocity-Field Attacks for Imperceptible and Transferable Adversarial Examples CVPR 2026 Gated Differentiable Working Memory for Long-Context Language Modeling ACL 2026 Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training CVPR 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 Policy Gradient with Tree Expansion ICML 2025 SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression EMNLP 2025 Temporal Difference Flows ICML 2025 Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025 Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation ICML 2024 ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models ICLR 2024 Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024 Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NeurIPS 2024 Embarrassingly Simple Dataset Distillation ICLR 2024 From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers CVPR 2024 Joint control variate for faster black-box variational inference AISTATS 2024 Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024 Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks ICML 2024 Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation ICML 2024 Influence Scores at Scale for Efficient Language Data Sampling EMNLP 2023 Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms NeurIPS 2023 PA&DA: Jointly Sampling Path and Data for Consistent NAS CVPR 2023 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference ICML 2023 Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization CVPR 2023 A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning AAAI 2022 Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization ICML 2022