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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
Radial and Directional Posteriors for Bayesian Deep Learning
AAAI 2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
ACL 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
ACL 2020
schuBERT: Optimizing Elements of BERT
ACL 2020
Adaptive Compression of Word Embeddings
ACL 2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
ACL 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
ACL 2020
Distilling Neural Networks for Greener and Faster Dependency Parsing
ACL 2020
Compressing Neural Machine Translation Models with 4-bit Precision
ACL 2020
The NiuTrans System for WNGT 2020 Efficiency Task
ACL 2020
Improved Knowledge Distillation via Teacher Assistant
AAAI 2020
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio
AAAI 2020
RTN: Reparameterized Ternary Network
AAAI 2020
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
ACL 2020
Adversarially Robust Distillation
AAAI 2020
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
ACL 2020
Training Decision Trees as Replacement for Convolution Layers
AAAI 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
AAAI 2020
Distilling Portable Generative Adversarial Networks for Image Translation
AAAI 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
AAAI 2020
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
ACL 2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time
ACL 2020
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
WACV 2020
ADNet: Adaptively Dense Convolutional Neural Networks
WACV 2020
Regularize, Expand and Compress: NonExpansive Continual Learning
WACV 2020
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