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Model Compression

1,718 papers

Papers per year

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Papers

C3AE: Exploring the Limits of Compact Model for Age Estimation CVPR 2019
Robust Text Classifier on Test-Time Budgets EMNLP 2019
RNN Architecture Learning with Sparse Regularization EMNLP 2019
Simple, Scalable Adaptation for Neural Machine Translation EMNLP 2019
Patient Knowledge Distillation for BERT Model Compression EMNLP 2019
Overcoming Multi-model Forgetting ICML 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019
Learning Low-precision Neural Networks without Straight-Through Estimator (STE) IJCAI 2019
A Mobile Application for Sound Event Detection IJCAI 2019
Simple, Scalable Adaptation for Neural Machine Translation IJCNLP 2019
ProSeqo: Projection Sequence Networks for On-Device Text Classification IJCNLP 2019
Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation INTERSPEECH 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
Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition INTERSPEECH 2019
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NIPS 2018
Modular Networks: Learning to Decompose Neural Computation NIPS 2018
Learning to Optimize Tensor Programs NIPS 2018
Learning Compressed Transforms with Low Displacement Rank NIPS 2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NIPS 2018
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NIPS 2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NIPS 2018
Low-rank passthrough neural networks ACL 2018
Modulated Convolutional Networks CVPR 2018