Optimization & Theory

E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings NeurIPS 2019 EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019 ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019 Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task EMNLP 2019 Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks NeurIPS 2019 Efficient and Scalable Multi-Task Regression on Massive Number of Tasks AAAI 2019 Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NeurIPS 2019 Efficient Diversified Mini-Batch Selection using Variable High-layer Features ACML 2019 Efficient Forward Architecture Search NeurIPS 2019 Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing AAAI 2019 Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019 Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019 Efficiently testing local optimality and escaping saddles for ReLU networks ICLR 2019 Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019 Efficient Neural Network Compression CVPR 2019 Efficient Neural Network Verification with Exactness Characterization UAI 2019 Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019 Efficient Video Classification Using Fewer Frames CVPR 2019 End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization CVPR 2019 End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework Interspeech 2019 Energy and Policy Considerations for Deep Learning in NLP ACL 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network CVPR 2019 ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network CVPR 2019 Evaluating BERT for natural language inference: A case study on the CommitmentBank EMNLP 2019