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Informativeness

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Showing 401–450 of 735 papers

TitleStatusHype
High-quality Task Division for Large-scale Entity AlignmentCode0
UnCommonSense: Informative Negative Knowledge about Everyday Concepts—0
EGCR: Explanation Generation for Conversational Recommendation—0
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning—0
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems—0
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic QuantitiesCode0
Deep Active Learning with Budget Annotation—0
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language ExplanationsCode0
Stream-based active learning with linear models—0
Towards Automatic Generation of Messages Countering Online Hate Speech and MicroaggressionsCode0
Interactive Query-Assisted Summarization via Deep Reinforcement LearningCode0
Automating Human Evaluation of Dialogue Systems—0
Towards Human-Agent Communication via the Information Bottleneck Principle—0
Link the World: Improving Open-domain Conversation with Dynamic Spatiotemporal-aware Knowledge—0
Comparing informativeness of an NLG chatbot vs graphical app in diet-information domain—0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport—0
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning—0
Dual Representation Learning for Out-of-Distribution DetectionCode0
PInKS: Preconditioned Commonsense Inference with Minimal SupervisionCode0
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation—0
Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models—0
Evaluating the Effects of Embedding with Speaker Identity Information in Dialogue Summarization—0
On the Trade-off between Redundancy and Local Coherence in SummarizationCode0
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints—0
Statistical discrimination and statistical informativeness—0
Relating Information and Proof—0
ACM -- Attribute Conditioning for Abstractive Multi Document Summarization—0
On Controlling Fallback Responses for Grounded Dialogue Generation—0
Bridging the Gap between Recognition-level Pre-training and Commonsensical Vision-language Tasks—0
Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion—0
Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architectures—0
Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension—0
An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning ApplicationsCode0
AI for human assessment: What do professional assessors need?—0
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language—0
Bayesian Negative Sampling for RecommendationCode0
Probing for Labeled Dependency TreesCode0
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge InjectionCode0
A Contrastive Objective for Learning Disentangled RepresentationsCode0
Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERTCode0
Reinforced Meta Active Learning—0
Passive and Active Learning of Driver Behavior from Electric Vehicles—0
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations—0
Unsupervised Disentanglement with Tensor Product Representations on the TorusCode0
Observational Learning with Competitive Prices—0
Fast Rates in Pool-Based Batch Active Learning—0
A Lagrangian Duality Approach to Active Learning—0
PPPNE: Personalized proximity preserved network embedding—0
Collaborative filtering via heterogeneous neural networks—0
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels—0
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