gradient descent optimization

Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix ICLR 2025 LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization ICLR 2025 Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction CVPR 2025 Expected Probabilistic Hierarchies NeurIPS 2024 Offline and Online Optical Flow Enhancement for Deep Video Compression AAAI 2024 Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise NeurIPS 2024 Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023 Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision CVPR 2023 Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images ICCV 2023 GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization EMNLP 2022 Multi-View Mesh Reconstruction With Neural Deferred Shading CVPR 2022 Learning How to Ask: Querying LMs with Mixtures of Soft Prompts NAACL 2021 NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization ICCV 2021 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime ICLR 2021 PICCOLO: Point Cloud-Centric Omnidirectional Localization ICCV 2021 Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness AISTATS 2020 Face-to-Parameter Translation for Game Character Auto-Creation ICCV 2019 Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019 Neural Architecture Optimization NeurIPS 2018 Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NeurIPS 2013