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model compression

3302 papers

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MC

Co-occurring keywords

knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL 2023

OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023

FedLab: A Flexible Federated Learning Framework JMLR 2023

Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework AAAI 2023

Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training ICCV 2023

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks AAAI 2023

A Survey on Model Compression and Acceleration for Pretrained Language Models AAAI 2023

Cost-effective Artificial Neural Networks IJCAI 2023

Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023

Parameter-Efficient Fine-Tuning without Introducing New Latency ACL 2023

GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost IJCAI 2023

Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge CVPR 2023

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models EACL 2023

Distribution Shift Matters for Knowledge Distillation with Webly Collected Images ICCV 2023

Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation CVPR 2023

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference ICCV 2023

LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time WACV 2023

Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023

Hyperspherical Quantization: Toward Smaller and More Accurate Models WACV 2023

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution ICCV 2023

HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation ICCV 2023

YANMTT: Yet Another Neural Machine Translation Toolkit ACL 2023

Towards Understanding Ensemble Distillation in Federated Learning ICML 2023

SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient ICML 2023

ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector CVPR 2023