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model compression

3283 papers

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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

Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023
Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation EMNLP 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference ICCV 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023
Understanding the Effect of Model Compression on Social Bias in Large Language Models EMNLP 2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling EMNLP 2023
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023
Towards Fairness-aware Adversarial Network Pruning ICCV 2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models ICCV 2023
Compressing Cross-Lingual Multi-Task Models at Qualtrics AAAI 2023
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023
Information Magnitude Based Dynamic Sub-sampling for Speech-to-text INTERSPEECH 2023
2-bit Conformer quantization for automatic speech recognition INTERSPEECH 2023
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks AAAI 2023
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing ICML 2023
Are Large Kernels Better Teachers than Transformers for ConvNets? ICML 2023
Oscillation-free Quantization for Low-bit Vision Transformers ICML 2023
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023
BiBench: Benchmarking and Analyzing Network Binarization ICML 2023
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning ICML 2023
Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle ICCV 2023
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation ICML 2023
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation ICML 2023
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition ICML 2023
Gradient-Free Structured Pruning with Unlabeled Data ICML 2023