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Neural Network Compression

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Showing 101–125 of 193 papers

TitleStatusHype
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression—0
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors—0
TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis—0
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression—0
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression—0
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space—0
Transform Quantization for CNN (Convolutional Neural Network) Compression—0
Tropical Geometrical Zonotope Reduction as Applied to Neural Network Compression.—0
TropNNC: Structured Neural Network Compression Using Tropical Geometry—0
UMEC: Unified model and embedding compression for efficient recommendation systems—0
Understanding the Effect of the Long Tail on Neural Network Compression—0
Unified Framework for Neural Network Compression via Decomposition and Optimal Rank Selection—0
Universal Deep Neural Network Compression—0
VQN: Variable Quantization Noise for Neural Network Compression—0
Weight Normalization based Quantization for Deep Neural Network Compression—0
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias—0
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression—0
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy—0
A Bayesian Optimization Framework for Neural Network Compression—0
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation—0
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning—0
A Comparative Study of Neural Network Compression—0
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
Adversarial Network Compression—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
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