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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

CUED@WMT19:EWC&LMs ACL 2019 Cumulative Adaptation for BLSTM Acoustic Models Interspeech 2019 CUNI–Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation ACL 2019 CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction ACL 2019 CUNI System for the WMT19 Robustness Task ACL 2019 Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG ACL 2019 Curls & Whey: Boosting Black-Box Adversarial Attacks CVPR 2019 Customizable Architecture Search for Semantic Segmentation CVPR 2019 CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features ICCV 2019 CVIT’s submissions to WAT-2019 EMNLP 2019 CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection SemEval 2019 Cycle-Consistency for Robust Visual Question Answering CVPR 2019 CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions AAAI 2019 CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition Interspeech 2019 Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization AAAI 2019 Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation CVPR 2019 D2-Net: A Trainable CNN for Joint Description and Detection of Local Features CVPR 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 Dance With Flow: Two-In-One Stream Action Detection CVPR 2019 Dancing to Music NeurIPS 2019 DAN: Deep Attention Neural Network for News Recommendation AAAI 2019 Data-Adaptive Metric Learning with Scale Alignment AAAI 2019 Data-Anonymous Encoding for Text-to-SQL Generation EMNLP 2019 Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019 Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding NAACL 2019