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Model Compression

1503 directly classified papers

Papers per year

Papers

A Mobile Application for Sound Event Detection IJCAI 2019
Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019
Composite Binary Decomposition Networks AAAI 2019
Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019
Binary Speech Features for Keyword Spotting Tasks INTERSPEECH 2019
Neural Network Distillation on IoT Platforms for Sound Event Detection INTERSPEECH 2019
Compression of Acoustic Event Detection Models with Quantized Distillation INTERSPEECH 2019
Learning Compact Model for Large-Scale Multi-Label Data AAAI 2019
Inference-Invariant Transformation of Batch Normalization for Domain Adaptation of Acoustic Models INTERSPEECH 2018
Binarized LSTM Language Model NAACL 2018
Approximation Algorithms for Cascading Prediction Models ICML 2018
On the Application and Compression of Deep Time Delay Neural Network for Embedded Statistical Parametric Speech Synthesis INTERSPEECH 2018
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks INTERSPEECH 2018
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions ICML 2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NIPS 2018
Learning Compressed Transforms with Low Displacement Rank NIPS 2018
Learning to Optimize Tensor Programs NIPS 2018
Modular Networks: Learning to Decompose Neural Computation NIPS 2018
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NIPS 2018
Reusing Weights in Subword-Aware Neural Language Models NAACL 2018
Efficient Sequence Learning with Group Recurrent Networks NAACL 2018
BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018
Network Approximation using Tensor Sketching IJCAI 2018
On Robust Trimming of Bayesian Network Classifiers IJCAI 2018
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling EMNLP 2018