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Optimization

1638 directly classified papers

Papers per year

Papers

TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge NIPS 2024
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models CVPR 2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization NIPS 2024
What does guidance do? A fine-grained analysis in a simple setting NIPS 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields CVPR 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024
Practical Shuffle Coding NIPS 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning NIPS 2024
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps CVPR 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NIPS 2024
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space NIPS 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization AAAI 2024
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics NIPS 2024
On the Comparison between Multi-modal and Single-modal Contrastive Learning NIPS 2024
REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024
Towards Dynamic Message Passing on Graphs NIPS 2024
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NIPS 2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis ACL 2024
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training AAAI 2024