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Model Compression

1928 directly classified papers

Papers per year

Papers

Adversarial Reprogramming of Text Classification Neural Networks IJCNLP 2019
Robust Text Classifier on Test-Time Budgets IJCNLP 2019
Random Search and Reproducibility for Neural Architecture Search UAI 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization NIPS 2019
Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019
MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model IJCNLP 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting ICML 2019
Fully Quantized Network for Object Detection CVPR 2019
Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization AAAI 2019
Normalization Helps Training of Quantized LSTM NIPS 2019
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization NIPS 2019
Ultra-Compact NLU: Neuronal Network Binarization as Regularization INTERSPEECH 2019
Training a Spiking Neural Network with Equilibrium Propagation AISTATS 2019
Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019
Importance Estimation for Neural Network Pruning CVPR 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019
Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019
Knowledge Distillation via Instance Relationship Graph CVPR 2019
Patient Knowledge Distillation for BERT Model Compression IJCNLP 2019
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization CVPR 2019
On the Downstream Performance of Compressed Word Embeddings NIPS 2019
Generative Well-intentioned Networks NIPS 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework NIPS 2019
Network Pruning via Transformable Architecture Search NIPS 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NIPS 2019