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Model Compression

124 directly classified papers

Papers per year

Papers

Efficient and High-Quality Neural Machine Translation with OpenNMT ACL 2020
The NiuTrans System for WNGT 2020 Efficiency Task ACL 2020
Understanding and Exploring the Network with Stochastic Architectures NIPS 2020
Adversarial Self-Supervised Data-Free Distillation for Text Classification EMNLP 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020
AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio CVPR 2020
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers NIPS 2019
On the Downstream Performance of Compressed Word Embeddings NIPS 2019
Efficient Video Classification Using Fewer Frames CVPR 2019
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization CVPR 2019
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019
A Tensorized Transformer for Language Modeling NIPS 2019
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation CVPR 2018
Learning Compressed Transforms with Low Displacement Rank NIPS 2018
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU ACL 2018
Towards Accurate Binary Convolutional Neural Network NIPS 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise NIPS 2017
Dynamic Network Surgery for Efficient DNNs NIPS 2016
Learning Structured Sparsity in Deep Neural Networks NIPS 2016
Refining Architectures of Deep Convolutional Neural Networks CVPR 2016
Fast ConvNets Using Group-Wise Brain Damage CVPR 2016