Techniques

Dynamic Recursive Neural Network CVPR 2019 Dynamic Sparse Graph for Efficient Deep Learning ICLR 2019 EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion AAAI 2019 Effective Use of Transformer Networks for Entity Tracking EMNLP 2019 Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network ICCV 2019 Efficient Forward Architecture Search NeurIPS 2019 Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019 Efficient Neural Network Compression CVPR 2019 Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019 Efficient Training of BERT by Progressively Stacking ICML 2019 EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis ICML 2019 EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch CVPR 2019 Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution ICCV 2019 Embedding Time Expressions for Deep Temporal Ordering Models ACL 2019 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NeurIPS 2019 Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NeurIPS 2019 End-to-End Learning for Graph Decomposition ICCV 2019 End-to-End Learning of Representations for Asynchronous Event-Based Data ICCV 2019 End-To-End Multi-Task Learning With Attention CVPR 2019 Energy and Policy Considerations for Deep Learning in NLP ACL 2019 Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking ICLR 2019 Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation EMNLP 2019 Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph EMNLP 2019 Enhancing Neural Data-To-Text Generation Models with External Background Knowledge EMNLP 2019