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Model Compression

141 directly classified papers

Papers per year

Papers

Sparsity-Inducing Binarized Neural Networks AAAI 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks ICML 2020
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks AAAI 2020
Residual Sum-Product Networks PGM 2020
End to End Binarized Neural Networks for Text Classification EMNLP 2020
Learning Low-precision Neural Networks without Straight-Through Estimator (STE) IJCAI 2019
KAMA-NNs: Low-dimensional Rotation Based Neural Networks AISTATS 2019
Simple, Scalable Adaptation for Neural Machine Translation IJCNLP 2019
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019
Towards a Theoretical Understanding of Hashing-Based Neural Nets AISTATS 2019
Low-rank passthrough neural networks ACL 2018
Convex Regression with Interpretable Sharp Partitions JMLR 2016
Recurrent Dropout without Memory Loss COLING 2016
Fast Template Evaluation with Vector Quantization NIPS 2013
Approximate Model Selection for Large Scale LSSVM ACML 2011