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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

UdS Submission for the WMT 19 Automatic Post-Editing Task ACL 2019 UER: An Open-Source Toolkit for Pre-training Models EMNLP 2019 ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task CoNLL 2019 UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection SemEval 2019 Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder Interspeech 2019 Ultrasound Tongue Imaging for Diarization and Alignment of Child Speech Therapy Sessions Interspeech 2019 Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task ACL 2019 Unbabel’s Submission to the WMT2019 APE Shared Task: BERT-Based Encoder-Decoder for Automatic Post-Editing ACL 2019 Unbiased Implicit Variational Inference AISTATS 2019 Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization AISTATS 2019 Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference ICCV 2019 Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining CVPR 2019 Unconstrained Monotonic Neural Networks NeurIPS 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019 Understanding and Accelerating Particle-Based Variational Inference ICML 2019 Understanding and Controlling Memory in Recurrent Neural Networks ICML 2019 Understanding and correcting pathologies in the training of learned optimizers ICML 2019 Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer ICLR 2019 Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels ICML 2019 Understanding and Visualizing Deep Visual Saliency Models CVPR 2019 Understanding and Visualizing Raw Waveform-Based CNNs Interspeech 2019 Understanding Attention and Generalization in Graph Neural Networks NeurIPS 2019 Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization EMNLP 2019 Understanding Deep Networks via Extremal Perturbations and Smooth Masks ICCV 2019 Understanding Geometry of Encoder-Decoder CNNs ICML 2019