← Core AI
Artificial Intelligence › Core AI ›

Model Compression

1928 directly classified papers

Papers per year

Papers

BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL 2021
Knodle: Modular Weakly Supervised Learning with PyTorch ACL 2021
Parameter-Efficient Transfer Learning with Diff Pruning ACL 2021
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications EMNLP 2021
Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation EMNLP 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation ACL 2021
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression WACV 2021
Direction is what you need: Improving Word Embedding Compression in Large Language Models IJCNLP 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor ACL 2021
Importance-based Neuron Allocation for Multilingual Neural Machine Translation ACL 2021
RDI-Net: Relational Dynamic Inference Networks ICCV 2021
KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs ICCV 2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit ACL 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021
Network Pruning via Performance Maximization CVPR 2021
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner CVPR 2021
Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution CVPR 2021
CDFI: Compression-Driven Network Design for Frame Interpolation CVPR 2021
Zero-Shot Adversarial Quantization CVPR 2021