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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language EMNLP 2021 Unsupervised Video Representation Learning by Bidirectional Feature Prediction WACV 2021 Unsupervised Visual Representation Learning by Tracking Patches in Video CVPR 2021 UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation. SemEval 2021 UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth SemEval 2021 UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter SemEval 2021 UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction SemEval 2021 UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense SemEval 2021 UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers CVPR 2021 UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers ICLR 2021 UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning CVPR 2021 Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation SemEval 2021 User-Guided Line Art Flat Filling With Split Filling Mechanism CVPR 2021 Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models ACL 2021 Using Hindsight to Anchor Past Knowledge in Continual Learning AAAI 2021 Using Large Self-Supervised Models for Low-Resource Speech Recognition Interspeech 2021 Using latent space regression to analyze and leverage compositionality in GANs ICLR 2021 Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems ACL 2021 Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings EMNLP 2021 Using Pause Information for More Accurate Entity Recognition EMNLP 2021 Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021 Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users AAAI 2021 Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks NeurIPS 2021 Using Remote Sensing Imagery and Machine Learning to Predict Poaching in Wildlife Conservation Parks AAAI 2021 Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer’s Dementia Detection Through Spontaneous Speech Interspeech 2021