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Model Compression

1674 directly classified papers

Papers per year

Papers

Overcoming Forgetting Catastrophe in Quantization-Aware Training ICCV 2023
BiViT: Extremely Compressed Binary Vision Transformers ICCV 2023
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation ICCV 2023
TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration NIPS 2023
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets NIPS 2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer NIPS 2023
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures NIPS 2023
Binarized Spectral Compressive Imaging NIPS 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter NIPS 2023
You Only Condense Once: Two Rules for Pruning Condensed Datasets NIPS 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers NIPS 2023
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution NIPS 2023
BiMatting: Efficient Video Matting via Binarization NIPS 2023
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference NIPS 2023
Temporal Dynamic Quantization for Diffusion Models NIPS 2023
SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration NIPS 2023
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NIPS 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time NIPS 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer AAAI 2023
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints EMNLP 2023
Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning ICCV 2023
Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers EACL 2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers EACL 2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling EMNLP 2023