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Model Compression

1,785 papers

Papers per year

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Papers

Incremental Multi-Domain Learning with Network Latent Tensor Factorization AAAI 2020
Binarized Neural Architecture Search AAAI 2020
Channel Pruning Guided by Classification Loss and Feature Importance AAAI 2020
Hierarchical Knowledge Squeezed Adversarial Network Compression AAAI 2020
Efficient Residual Dense Block Search for Image Super-Resolution AAAI 2020
Sparsity-Inducing Binarized Neural Networks AAAI 2020
Pruning from Scratch AAAI 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020
Model Watermarking for Image Processing Networks AAAI 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models ACL 2020
Knowledge Graph Embedding Compression ACL 2020
Weight Poisoning Attacks on Pretrained Models ACL 2020
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020
Adaptive Compression of Word Embeddings ACL 2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL 2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020
Distilling Neural Networks for Greener and Faster Dependency Parsing ACL 2020
Efficient EUD Parsing ACL 2020
The NiuTrans System for WNGT 2020 Efficiency Task ACL 2020
Efficient and High-Quality Neural Machine Translation with OpenNMT ACL 2020
Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task ACL 2020
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020
ASAP: Architecture Search, Anneal and Prune AISTATS 2020
Dual Super-Resolution Learning for Semantic Segmentation CVPR 2020