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Model Compression

1,952 papers

Papers per year

6
114
489
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Papers

Compression of Acoustic Event Detection Models with Quantized Distillation INTERSPEECH 2019
On Knowledge distillation from complex networks for response prediction NAACL 2019
Random Search and Reproducibility for Neural Architecture Search UAI 2019
Probability Distillation: A Caveat and Alternatives UAI 2019
KDGAN: Knowledge Distillation with Generative Adversarial Networks NIPS 2018
Learning sparse neural networks via sensitivity-driven regularization NIPS 2018
Scaling provable adversarial defenses NIPS 2018
Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution NIPS 2018
Sparse DNNs with Improved Adversarial Robustness NIPS 2018
Discrimination-aware Channel Pruning for Deep Neural Networks NIPS 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer NIPS 2018
A Simple Cache Model for Image Recognition NIPS 2018
TETRIS: TilE-matching the TRemendous Irregular Sparsity NIPS 2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NIPS 2018
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network NIPS 2018
Verifiable Reinforcement Learning via Policy Extraction NIPS 2018
Scalable methods for 8-bit training of neural networks NIPS 2018
Accelerating Neural Transformer via an Average Attention Network ACL 2018
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU ACL 2018
Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL 2018
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018
Structured Factored Inference for Probabilistic Programming AISTATS 2018
Tailoring Neural Architectures for Translating from Morphologically Rich Languages COLING 2018
A prototype finite-state morphological analyser for Chukchi COLING 2018
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018