Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Model Compression Applied to Small-Footprint Keyword Spotting.
Small-footprint keyword spotting using deep neural networks
Non-Uniform MCE Training of Deep Long Short-Term Memory Recurrent Neural Networks for Keyword Spotting.
Trainable frontend for robust and far-field keyword spotting
Practical Implementation of Space-Efficient Dynamic Keyword Dictionaries
Query-by-example keyword spotting using long short-term memory networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Model compression
Global inference for sentence compression: An integer linear programming approach
A memory insensitive technique for large model simplification
On Compressing Deep Models by Low Rank and Sparse Decomposition
A Graph Degeneracy-based Approach to Keyword Extraction
An application of recurrent neural networks to discriminative keyword spotting
Efficient Inferencing of Compressed Deep Neural Networks
Smallify: Learning Network Size while Training
Domain independent automatic keyphrase indexing with small training sets
Statistical compression-based models for text classification
Learning Compact Model for Large-Scale Multi-Label Data
Image Based Retrieval and Keyword Spotting in Documents.
Less Is More: Towards Compact CNNs
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Umbilical Granuloma: Modern Understanding of Etiopathogenesis, Diagnosis, and Management
Chinese-English mixed text normalization
Antibiotic resistance and its cost: is it possible to reverse resistance?
A chromatic art gallery problem
Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks