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Neural Network Compression

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Showing 76–100 of 193 papers

TitleStatusHype
spred: Solving L_1 Penalty with SGDCode0
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks—0
Quantized Sparse Weight Decomposition for Neural Network Compression—0
Quantum Neural Network Compression—0
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation—0
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning—0
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
Revisiting Random Channel Pruning for Neural Network CompressionCode0
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression—0
Approximate Bisimulation Relations for Neural Networks and Application to Assured Neural Network Compression—0
Neural Network Compression of ACAS Xu Early Prototype is Unsafe: Closed-Loop Verification through Quantized State BackreachabilityCode0
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression—0
VQN: Variable Quantization Noise for Neural Network Compression—0
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient DistillationCode0
Semi-tensor Product-based TensorDecomposition for Neural Network Compression—0
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition—0
Tropical Geometrical Zonotope Reduction as Applied to Neural Network Compression.—0
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study—0
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression—0
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data—0
Data-Driven Low-Rank Neural Network Compression—0
HEMP: High-order Entropy Minimization for neural network comPression—0
Joint Matrix Decomposition for Deep Convolutional Neural Networks CompressionCode0
Exact Backpropagation in Binary Weighted Networks with Group Weight TransformationsCode0
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner—0
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