Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Towards Image Understanding from Deep Compression without Decoding
Lossy Image Compression with Compressive Autoencoders
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery
CLIP-Q: Deep Network Compression Learning by In-parallel Pruning-Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints
deep compression : compressing deep neural network with pruning , trained quantization and huffman coding .
Lossless plenoptic image compression using adaptive block differential prediction
Jointly Learning to Extract and Compress
Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior
Compression Artifacts Reduction by a Deep Convolutional Network
Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing
EIE: Efficient Inference Engine on Compressed Deep Neural Network
CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks
A bi-level view of inpainting - based image compression
unsupervised segmentation of natural images via lossy data compression .
Video Compression Using Recurrent Convolutional Neural Networks
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
The Laplacian Pyramid as a Compact Image Code
Compressing Convolutional Neural Networks
Image Decomposition and Classification Through a Generative Model
Neuronal factors determining high intelligence
A 107 GHz 55 dB-Ohm InP Broadband Transimpedance Amplifier IC for High-Speed Optical Communication Links
Oral lesions in leprosy.
Understanding performance in touch selections: Tap, drag and radial pointing drag with finger, stylus and mouse
Generative Compression