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neural network pruning

265 papers

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Also known as

NNP

Co-occurring keywords

model compression (3283) lottery ticket hypothesis (103) model pruning (233) network pruning (183) sparse training (77) neural network optimization (1293) neural network (6616) knowledge distillation (3680) weight pruning (57) large language model (12755)

Papers

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training NIPS 2023
Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract) AAAI 2023
Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023
Don’t just prune by magnitude! Your mask topology is a secret weapon NIPS 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023
SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration NIPS 2023
Dynamic Sparsity Is Channel-Level Sparsity Learner NIPS 2023
Balanced Training for Sparse GANs NIPS 2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023
Pruning vs Quantization: Which is Better? NIPS 2023
Parameter-Level Soft-Masking for Continual Learning ICML 2023
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis NIPS 2023
Sharpness-Aware Minimization Leads to Low-Rank Features NIPS 2023
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud AAAI 2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models NIPS 2023
Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers ICML 2023
Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023
Is Overfitting Necessary for Implicit Video Representation? ICML 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming ICML 2023
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution WACV 2023