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Informativeness

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Showing 301–350 of 735 papers

TitleStatusHype
Efficient Deep Representation Learning by Adaptive Latent Space Sampling—0
Bounds on the Generalization Error in Active Learning—0
A matter of words: NLP for quality evaluation of Wikipedia medical articles—0
Active Learning for Noisy Data Streams Using Weak and Strong Labelers—0
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness—0
Abstractive Summarization of Low resourced Nepali language using Multilingual Transformers—0
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization—0
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets—0
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory—0
A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems—0
Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
Binary Classification Tests, Imperfect Standards, and Ambiguous Information—0
Algebraic Properties of Blackwell's Order and A Cardinal Measure of Informativeness—0
Do Speakers Produce Discourse Connectives Rationally?—0
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization—0
Does Korean defeat phonotactic word segmentation?—0
ALEVS: Active Learning by Statistical Leverage Sampling—0
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification—0
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation—0
Document Filtering for Long-tail Entities—0
A Lagrangian Duality Approach to Active Learning—0
Active Learning for Continual Learning: Keeping the Past Alive in the Present—0
A comparison of evaluation methods in coevolution—0
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
Diverse mini-batch Active Learning—0
AI-Powered Bayesian Inference—0
Discriminating BCC Subtypes Using Entropy and Mutual Information from Dermoscopic Features—0
Discrete Signal Processing with Set Functions—0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport—0
AI for human assessment: What do professional assessors need?—0
Active Learning by Querying Informative and Representative Examples—0
Directed Homophily-Aware Graph Neural Network—0
Diffusion Reconstruction of Ultrasound Images with Informative Uncertainty—0
Diffusion Approximations for a Class of Sequential Testing Problems—0
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation—0
A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection—0
Differentially Private Sequential Learning—0
Differentiable Greedy Networks—0
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events—0
Dialogue Policies for Learning Board Games through Multimodal Communication—0
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning—0
Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone—0
A Simple Theoretical Model of Importance for Summarization—0
ACM -- Attribute Conditioning for Abstractive Multi Document Summarization—0
A Benchmark for Text Expansion: Datasets, Metrics, and Baselines—0
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors—0
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems—0
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak—0
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks—0
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