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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 6151–6175 of 9051 papers

TitleStatusHype
Noise Conditional Flow Model for Learning the Super-Resolution SpaceCode1
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task LearningCode1
Feature-based Style Randomization for Domain Generalization—0
Large-scale Unsupervised Semantic SegmentationCode1
PreferenceNet: Encoding Human Preferences in Auction Design with Deep LearningCode1
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness—0
Meta-Learning with Variational Semantic Memory for Word Sense DisambiguationCode0
Auditing Source Diversity Bias in Video Search Results Using Virtual Agents—0
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
Barcode Method for Generative Model Evaluation driven by Topological Data AnalysisCode1
Optimization Variance: Exploring Generalization Properties of DNNsCode0
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate SpeechCode1
Sound-to-imagination: Unsupervised cross- modal translation using deep dense network architecture.—0
RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse SynthesisCode1
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity—0
A survey of part-of-speech tagging approaches applied to K’iche’—0
Experiments on a Guarani Corpus of News and Social Media—0
FrameNet and Typology—0
Explaining crime diversity with Google street viewCode0
Linguistic Complexity Loss in Text-Based Therapy—0
Coherent and Concise Radiology Report Generation via Context Specific Image Representations and Orthogonal Sentence States—0
Grouping Words with Semantic DiversityCode0
EaSe: A Diagnostic Tool for VQA based on Answer DiversityCode0
Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming—0
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning—0
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