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model compression

3283 papers

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Also known as

MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting NIPS 2023
One Wide Feedforward Is All You Need EMNLP 2023
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective EACL 2023
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning EACL 2023
Quantized Feature Distillation for Network Quantization AAAI 2023
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity UAI 2023
Heterogeneous-Branch Collaborative Learning for Dialogue Generation AAAI 2023
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions NIPS 2023
Reusing Pretrained Models by Multi-linear Operators for Efficient Training NIPS 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data IJCAI 2023
Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression ACML 2023
PD-Quant: Post-Training Quantization Based on Prediction Difference Metric CVPR 2023
Post-Training Quantization on Diffusion Models CVPR 2023
Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation EMNLP 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023
Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023
Global Vision Transformer Pruning With Hessian-Aware Saliency CVPR 2023
On Distillation of Guided Diffusion Models CVPR 2023
Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023
Dynamic Inference With Grounding Based Vision and Language Models CVPR 2023
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions CVPR 2023
Rethinking Word-Level Auto-Completion in Computer-Aided Translation EMNLP 2023
Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing EMNLP 2023
G-SPEED: General SParse Efficient Editing MoDel EMNLP 2023