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Methodology
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model compression
3283 papers
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Also known as
MC
Co-occurring keywords
knowledge distillation
(3680)
large language model
(12755)
neural network
(6616)
efficient computing
(779)
neural network optimization
(1293)
transfer learning
(5442)
convolutional neural network
(4216)
neural network pruning
(265)
language model
(4573)
parameter efficiency
(415)
Papers
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
NIPS 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
NIPS 2021
Distilling Object Detectors with Feature Richness
NIPS 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
NIPS 2021
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
NIPS 2021
GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning
EMNLP 2021
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
NIPS 2021
Scaling Up Exact Neural Network Compression by ReLU Stability
NIPS 2021
Demystifying and Generalizing BinaryConnect
NIPS 2021
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
NIPS 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network
CVPR 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks
CVPR 2021
RaScaNet: Learning Tiny Models by Raster-Scanning Images
CVPR 2021
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures
CVPR 2021
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
CVPR 2021
Content-Aware GAN Compression
CVPR 2021
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks
AAAI 2021
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
AAAI 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
CVPR 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
CVPR 2021
Learning Student Networks in the Wild
CVPR 2021
AdderSR: Towards Energy Efficient Image Super-Resolution
CVPR 2021
Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes
CVPR 2021
Multi-Scale Aligned Distillation for Low-Resolution Detection
CVPR 2021
Generalized Few-Shot Object Detection Without Forgetting
CVPR 2021
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