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Optimization

1638 directly classified papers

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Papers

QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NIPS 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NIPS 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective NIPS 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NIPS 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NIPS 2024
Provable and Efficient Dataset Distillation for Kernel Ridge Regression NIPS 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition NIPS 2024
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NIPS 2024
Constrained Synthesis with Projected Diffusion Models NIPS 2024
Optimal and Approximate Adaptive Stochastic Quantization NIPS 2024
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NIPS 2024
Constant Acceleration Flow NIPS 2024
Faster Vocoder: a multi threading approach to achieve low latency during TTS Inference INTERSPEECH 2024
Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024
Adam with model exponential moving average is effective for nonconvex optimization NIPS 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024
Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction WACV 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024
Enhancing Post-training Quantization Calibration through Contrastive Learning CVPR 2024
L0-Sampler: An L0 Model Guided Volume Sampling for NeRF CVPR 2024
Favoring One Among Equals - Not a Good Idea: Many-to-One Matching for Robust Transformer Based Pedestrian Detection WACV 2024
A Generic and Flexible Regularization Framework for NeRFs WACV 2024
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024