Efficient Computing

Importance Estimation for Neural Network Pruning CVPR 2019 Improved Techniques for Training Adaptive Deep Networks ICCV 2019 Improving Neural Network Quantization without Retraining using Outlier Channel Splitting ICML 2019 Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation Interspeech 2019 iNNvestigate Neural Networks! JMLR 2019 Integer Networks for Data Compression with Latent-Variable Models ICLR 2019 Intelligent Querying in Camera Networks for Efficient Target Tracking IJCAI 2019 Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019 Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance Interspeech 2019 IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019 Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks ICML 2019 KAMA-NNs: Low-dimensional Rotation Based Neural Networks AISTATS 2019 KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network IJCAI 2019 Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019 Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy AISTATS 2019 Large Memory Layers with Product Keys NeurIPS 2019 Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks NeurIPS 2019 Learned Video Compression ICCV 2019 Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019 Learning Binary Code for Personalized Fashion Recommendation CVPR 2019 Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019 Learning Compact Model for Large-Scale Multi-Label Data AAAI 2019 Learning Compressed Sentence Representations for On-Device Text Processing ACL 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019