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Neural Network Compression

Papers

Showing 1–25 of 193 papers

TitleStatusHype
Linearity-based neural network compression—0
MUC-G4: Minimal Unsat Core-Guided Incremental Verification for Deep Neural Network Compression—0
Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing—0
Certified Neural Approximations of Nonlinear DynamicsCode0
Low-Rank Matrix Approximation for Neural Network Compression—0
GranQ: Granular Zero-Shot Quantization with Channel-Wise Activation Scaling in QAT—0
Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix—0
Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding—0
A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks—0
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias—0
Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matching—0
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior ModelsCode0
Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression—0
TropNNC: Structured Neural Network Compression Using Tropical Geometry—0
Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection—0
Convolutional Neural Network Compression Based on Low-Rank Decomposition—0
Condensed Sample-Guided Model Inversion for Knowledge Distillation—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors—0
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models—0
Neural Network Compression for Reinforcement Learning Tasks—0
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator DesignCode2
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space—0
SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field—0
Towards Meta-Pruning via Optimal TransportCode1
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