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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 7926–7950 of 9051 papers

TitleStatusHype
Incremental training of multi-generative adversarial networks—0
Ensemble Distribution DistillationCode0
Comparative evaluation of 2D feature correspondence selection algorithmsCode0
Secrecy Performance of Antenna-Selection-Aided MIMOME Channels with BPSK/QPSK Modulations—0
A Novel Fuzzy Search Approach over Encrypted Data with Improved Accuracy and Efficiency—0
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks—0
Condition-Transforming Variational AutoEncoder for Conversation Response Generation—0
Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding BoundariesCode0
Generating Long Sequences with Sparse TransformersCode3
Stochastic Region Pooling: Make Attention More Expressive—0
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofingCode0
The Curious Case of Neural Text DegenerationCode1
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method—0
A Hybrid Retrieval-Generation Neural Conversation ModelCode0
A Novel BiLevel Paradigm for Image-to-Image Translation—0
Intentional Computational Level DesignCode0
Batch Tournament Selection for Genetic Programming—0
Molecular Diversity and Network Complexity in Growing Protocells—0
Active Adversarial Domain Adaptation—0
Suction Grasp Region Prediction using Self-supervised Learning for Object Picking in Dense Clutter—0
Combining RGB and Points to Predict Grasping Region for Robotic Bin-Picking—0
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction—0
Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study—0
The impact of proportional transaction costs on systematically generated portfolios—0
Difficulty-aware Image Super Resolution via Deep Adaptive Dual-NetworkCode0
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