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

On the Impact of Calibration Data in Post-training Quantization and Pruning ACL 2024

Sparsity-Accelerated Training for Large Language Models ACL 2024

Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024

Pruning Foundation Models for High Accuracy without Retraining EMNLP 2024

MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024

Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NIPS 2024

NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models ACL 2024

Pruning From Scratch via Shared Pruning Module and Nuclear Norm-Based Regularization WACV 2024

Hypothesis Testing the Circuit Hypothesis in LLMs NIPS 2024

Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training COLING 2024

SparseLLM: Towards Global Pruning of Pre-trained Language Models NIPS 2024

S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning NIPS 2024

LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation ICML 2023

A Multiple-Teacher Pruning Based Self-Distillation (MT-PSD) Approach to Model Compression for Audio-Visual Wake Word Spotting INTERSPEECH 2023

Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ICML 2023

Optimal Sets and Solution Paths of ReLU Networks ICML 2023

X-Pruner: eXplainable Pruning for Vision Transformers CVPR 2023

Practical Network Acceleration With Tiny Sets CVPR 2023

Why Random Pruning Is All We Need to Start Sparse ICML 2023

Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis CVPR 2023

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023

Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023

Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration CVPR 2023

FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023

Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks IJCAI 2023