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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 8301–8325 of 9051 papers

TitleStatusHype
Counterfactual reasoning: an analysis of in-context emergenceCode0
MetaAlign: Align Large Language Models with Diverse Preferences during Inference TimeCode0
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language ModelsCode0
Towards Understanding the Interplay of Generative Artificial Intelligence and the InternetCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIsCode0
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
Commet: comparing and combining multiple metagenomic datasetsCode0
Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageCode0
QED: using Quality-Environment-Diversity to evolve resilient robot swarmsCode0
Meta-Learning an Evolvable Developmental EncodingCode0
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data LimitationsCode0
Diversity-Aware Batch Active Learning for Dependency ParsingCode0
Diversity Augmented Conditional Generative Adversarial Network for Enhanced Multimodal Image-to-Image TranslationCode0
SoFA: Shielded On-the-fly Alignment via Priority Rule FollowingCode0
QoS-aware Big Service Composition using Distributed Co-Evolutionary AlgorithmCode0
Meta-Learning with Variational Semantic Memory for Word Sense DisambiguationCode0
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language UnderstandingCode0
Diversity and Generalization in Neural Network EnsemblesCode0
Quadratic Autoencoder (Q-AE) for Low-dose CT DenoisingCode0
Towards Evaluation of Cross-document Coreference Resolution Models Using Datasets with Diverse Annotation SchemesCode0
Soft-Label Integration for Robust Toxicity ClassificationCode0
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric LearningCode0
GAIT: A Geometric Approach to Information TheoryCode0
Artificial Immune System of Secure Face Recognition Against Adversarial AttacksCode0
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