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Model Compression

1928 directly classified papers

Papers per year

Papers

A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning IJCAI 2023
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining ICML 2023
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation ICML 2023
A Three-regime Model of Network Pruning ICML 2023
LightClone: Speaker-guided Parallel Subnet Selection for Few-shot Voice Cloning INTERSPEECH 2023
Adaptive Neural Network Quantization For Lightweight Speaker Verification INTERSPEECH 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
One-Shot Model for Mixed-Precision Quantization CVPR 2023
DepGraph: Towards Any Structural Pruning CVPR 2023
Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023
A Unified Knowledge Distillation Framework for Deep Directed Graphical Models CVPR 2023
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients CVPR 2023
Compacting Binary Neural Networks by Sparse Kernel Selection CVPR 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023
LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time WACV 2023
SAFE: Machine Unlearning With Shard Graphs ICCV 2023
Stable and low-precision training for large-scale vision-language models NIPS 2023
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models WACV 2023
Multi-Level Logit Distillation CVPR 2023
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint CVPR 2023
On Quantizing Implicit Neural Representations WACV 2023