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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 8276–8300 of 9051 papers

TitleStatusHype
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning—0
Neural User Simulation for Corpus-based Policy Optimisation of Spoken Dialogue Systems—0
Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation—0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
Named Entity Recognition With Parallel Recurrent Neural NetworksCode0
A Neural Approach to Pun Generation—0
Improving Topic Quality by Promoting Named Entities in Topic Modeling—0
High Diversity Attribute Guided Face Generation with GANs—0
Customizing an Adversarial Example Generator with Class-Conditional GANs—0
Approximability of Discriminators Implies Diversity in GANs—0
A Decomposition-Based Many-Objective Evolutionary Algorithm with Local Iterative Update—0
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization—0
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation—0
Automatic Feature Selection in Markov State Models Using Genetic Algorithm—0
Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation—0
Diversified Late Acceptance Search—0
Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders—0
Paragraph-based complex networks: application to document classification and authenticity verification—0
Deviations from universality in the fluctuation behavior of a heterogeneous complex system reveal intrinsic properties of components: The case of the international currency market—0
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning—0
Response Generation by Context-aware Prototype EditingCode0
A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation—0
Autoregressive Quantile Networks for Generative ModelingCode0
On Accurate Evaluation of GANs for Language Generation—0
Ensemble Pruning based on Objection Maximization with a General Distributed FrameworkCode0
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