gradient backpropagation

Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Flashback: Memory Mechanism for Enhancing Memory Efficiency and Speed in Deep Sequential Models COLING 2025 ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning ICCV 2025 AdjointDEIS: Efficient Gradients for Diffusion Models NeurIPS 2024 AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models ICLR 2024 Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NeurIPS 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation ICML 2024 Adaptive Smoothing Gradient Learning for Spiking Neural Networks ICML 2023 DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification NeurIPS 2023 Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control CVPR 2021 Multiscale Collaborative Deep Models for Neural Machine Translation ACL 2020 Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020 CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising ICCV 2019 Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019 Tell Me Where to Look: Guided Attention Inference Network CVPR 2018 What Do Deep Networks Like to See? CVPR 2018