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Informativeness

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TitleStatusHype
Know What You Don't Need: Single-Shot Meta-Pruning for Attention Heads—0
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation—0
#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets—0
Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment—0
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues—0
When Contrastive Learning Meets Active Learning: A Novel Graph Active Learning Paradigm with Self-Supervision—0
Active Learning for Noisy Data Streams Using Weak and Strong Labelers—0
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature VisualizationCode1
Local Knowledge Powered Conversational Agents—0
A Method for Handling Multi-class Imbalanced Data by Geometry based Information Sampling and Class Prioritized Synthetic Data Generation (GICaPS)—0
Natural Images are More Informative for Interpreting CNN Activations than State-of-the-Art Synthetic Feature Visualizations—0
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive LearningCode1
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning—0
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations—0
Focus-Constrained Attention Mechanism for CVAE-based Response GenerationCode0
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks—0
Dialogue-adaptive Language Model Pre-training From Quality EstimationCode0
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets—0
Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition—0
On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims—0
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model InferenceCode1
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak—0
Deep Active Learning by Model Interpretability—0
Clustering of Social Media Messages for Humanitarian Aid Response during CrisisCode0
Deep Active Learning via Open Set RecognitionCode0
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