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Model Compression

1,952 papers

Papers per year

6
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489
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Papers

GWQ: Group-Wise Quantization Framework for Neural Networks ACML 2023
Bagging is an Optimal PAC Learner COLT 2023
Exploring Transformers as Compact, Data-efficient Language Models CONLL 2023
Post-Training Quantization on Diffusion Models CVPR 2023
Hard Sample Matters a Lot in Zero-Shot Quantization CVPR 2023
PD-Quant: Post-Training Quantization Based on Prediction Difference Metric CVPR 2023
Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023
Multi-Level Logit Distillation CVPR 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023
Toward Accurate Post-Training Quantization for Image Super Resolution CVPR 2023
One-Shot Model for Mixed-Precision Quantization CVPR 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives CVPR 2023
DepGraph: Towards Any Structural Pruning CVPR 2023
Structured Sparsity Learning for Efficient Video Super-Resolution CVPR 2023
DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration CVPR 2023
Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023
Adaptive Data-Free Quantization CVPR 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023
NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023
A Unified Knowledge Distillation Framework for Deep Directed Graphical Models CVPR 2023
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients CVPR 2023
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint CVPR 2023
Compacting Binary Neural Networks by Sparse Kernel Selection CVPR 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023
Parameter Efficient Local Implicit Image Function Network for Face Segmentation CVPR 2023