Techniques

End-to-End Deep Learning Framework for Speech Paralinguistics Detection Based on Perception Aware Spectrum Interspeech 2017 End-To-End Instance Segmentation With Recurrent Attention CVPR 2017 End-to-end Network for Twitter Geolocation Prediction and Hashing IJCNLP 2017 End-to-end Neural Coreference Resolution EMNLP 2017 End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow Interspeech 2017 End-To-End Training of Hybrid CNN-CRF Models for Stereo CVPR 2017 Episodic CAMN: Contextual Attention-Based Memory Networks With Iterative Feedback for Scene Labeling CVPR 2017 Equivariance Through Parameter-Sharing ICML 2017 ER3: A Unified Framework for Event Retrieval, Recognition and Recounting CVPR 2017 Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms ACL 2017 Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization ACL 2017 Exploring Different Dimensions of Attention for Uncertainty Detection EACL 2017 Exploring Personalized Neural Conversational Models IJCAI 2017 Fast and Accurate Entity Recognition with Iterated Dilated Convolutions EMNLP 2017 Feature Pyramid Networks for Object Detection CVPR 2017 Finding Tiny Faces CVPR 2017 Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings EACL 2017 Fixed-Point Factorized Networks CVPR 2017 Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks NeurIPS 2017 Forward-Backward Convolutional LSTM for Acoustic Modeling Interspeech 2017 Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification CVPR 2017 Gated-Attention Readers for Text Comprehension ACL 2017 Gated Feedback Refinement Network for Dense Image Labeling CVPR 2017 Get To The Point: Summarization with Pointer-Generator Networks ACL 2017 Growing a Brain: Fine-Tuning by Increasing Model Capacity CVPR 2017