conftrace_

model pruning

237 papers

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Co-occurring keywords

model compression (3302) knowledge distillation (3725) neural network pruning (265) large language model (13587) lottery ticket hypothesis (104) neural network optimization (1293) transfer learning (5449) network pruning (183) neural network (6616) model quantization (281)

Papers

Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies INTERSPEECH 2024
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification COLING 2024
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning EMNLP 2024
SparseLLM: Towards Global Pruning of Pre-trained Language Models NIPS 2024
Learn it or Leave it: Module Composition and Pruning for Continual Learning ACL 2024
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis EMNLP 2024
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning CVPR 2024
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024
Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024
Resource-Efficient Transformer Pruning for Finetuning of Large Models CVPR 2024
Fairness-Aware Structured Pruning in Transformers AAAI 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices NIPS 2024
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications EMNLP 2024
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection CVPR 2024
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024
F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis AAAI 2024
Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization NAACL 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing AAAI 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models NIPS 2024
Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition INTERSPEECH 2024
Pruning as a Domain-specific LLM Extractor NAACL 2024