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model compression

3283 papers

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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

Leveraging Filter Correlations for Deep Model Compression WACV 2020
Propose-and-Attend Single Shot Detector WACV 2020
D3D: Distilled 3D Networks for Video Action Recognition WACV 2020
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers EMNLP 2020
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation EMNLP 2020
BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance EMNLP 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing EMNLP 2020
Tensorized Embedding Layers EMNLP 2020
Query Distillation: BERT-based Distillation for Ensemble Ranking COLING 2020
Tiny Word Embeddings Using Globally Informed Reconstruction COLING 2020
Extreme Model Compression for On-device Natural Language Understanding COLING 2020
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression COLING 2020
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware WACV 2020
Wide Hidden Expansion Layer for Deep Convolutional Neural Networks WACV 2020
Local Binary Pattern Networks WACV 2020
A "Network Pruning Network'' Approach to Deep Model Compression WACV 2020
Exploring the Boundaries of Low-Resource BERT Distillation EMNLP 2020
Overview of the SustaiNLP 2020 Shared Task EMNLP 2020
Adaptive Neural Connections for Sparsity Learning WACV 2020
Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020
Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity WACV 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020
FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020