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Informativeness

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Showing 501–550 of 735 papers

TitleStatusHype
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure LearningCode0
THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses—0
Rethinking InfoNCE: How Many Negative Samples Do You Need?—0
Cost-Accuracy Aware Adaptive Labeling for Active LearningCode0
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning—0
Towards Human-Free Automatic Quality Evaluation of German Summarization—0
Knowledge-based Review Generation by Coherence Enhanced Text Planning—0
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes—0
Meta-evaluation of Conversational Search Evaluation MetricsCode0
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation—0
Low-Regret Active learning—0
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration AlgorithmsCode0
Generating Weather Comments from Meteorological SimulationsCode0
Multimodal assessment of apparent personality using feature attention and error consistency constraint—0
Combining Reward Information from Multiple Sources—0
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach—0
Towards the evaluation of automatic simultaneous speech translation from a communicative perspective—0
Advisors with Hidden Motives—0
Linear Regression over Networks with Communication Guarantees—0
Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation—0
A Unified Batch Selection Policy for Active Metric Learning—0
Diffusion Approximations for a Class of Sequential Testing Problems—0
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling—0
Disambiguatory Signals are Stronger in Word-initial PositionsCode0
Adaptive Scheduling for Machine Learning Tasks over Networks—0
Belief-based Generation of Argumentative ClaimsCode0
Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognition—0
Maximizing Information Gain for the Characterization of Biomolecular Circuits—0
PABI: A Unified PAC-Bayesian Informativeness Measure for Incidental Supervision Signals—0
Exemplary natural images explain CNN activations better than synthetic feature visualizations—0
Modal Uncertainty Estimation via Discrete Latent Representations—0
Deep Active Learning for Object Detection with Mixture Density Networks—0
Binary Classification Tests, Imperfect Standards, and Ambiguous Information—0
Understanding Guided Image Captioning Performance across DomainsCode0
Story Generation with Rich Details—0
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response—0
Pattern recognition in micro-trading behaviors before stock price jumps: A framework based on multivariate time series analysis—0
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning—0
Know What You Don't Need: Single-Shot Meta-Pruning for Attention Heads—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
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation—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
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
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
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