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Papers
PyDL8.5: a Library for Learning Optimal Decision Trees
IJCAI 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
AAAI 2020
Quantization Aware Training with Absolute-Cosine Regularization for Automatic Speech Recognition
Interspeech 2020
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning
AAAI 2020
Query Distillation: BERT-based Distillation for Ensemble Ranking
COLING 2020
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware
WACV 2020
Radial and Directional Posteriors for Bayesian Deep Learning
AAAI 2020
Rank and run-time aware compression of NLP Applications
EMNLP 2020
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data
AAAI 2020
Regional Tree Regularization for Interpretability in Deep Neural Networks
AAAI 2020
Regularize, Expand and Compress: NonExpansive Continual Learning
WACV 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy
CVPR 2020
Rescore in a Flash: Compact, Cache Efficient Hashing Data Structures for n-Gram Language Models
Interspeech 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
NeurIPS 2020
Resource-Adaptive Deep Learning for Visual Speech Recognition
Interspeech 2020
ReSprop: Reuse Sparsified Backpropagation
CVPR 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
CVPR 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks
CVPR 2020
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice
NeurIPS 2020
Revisiting Knowledge Distillation via Label Smoothing Regularization
CVPR 2020
Robust Quantization: One Model to Rule Them All
NeurIPS 2020
Rotated Binary Neural Network
NeurIPS 2020
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
CVPR 2020
RTN: Reparameterized Ternary Network
AAAI 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
NeurIPS 2020