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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 6951–6975 of 9051 papers

TitleStatusHype
Evaluating for Diversity in Question Generation over Text—0
First U-Net Layers Contain More Domain Specific Information Than The Last OnesCode0
Relevance Attack on DetectorsCode0
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding—0
Generalized Coordinated Multipoint Framework for 5G and Beyond—0
Contextual Diversity for Active LearningCode1
What leads to generalization of object proposals?—0
Chernoff Bounds and Saddlepoint Approximations for the Outage Probability in Intelligent Reflecting Surface Assisted Communication Systems—0
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students—0
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
Model-Based Quality-Diversity Search for Efficient Robot Learning—0
TransNet V2: An effective deep network architecture for fast shot transition detectionCode1
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition—0
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay—0
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning—0
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-IdentificationCode1
Using Neural Networks and Diversifying Differential Evolution for Dynamic OptimisationCode0
Diverse Group Formation Based on Multiple Demographic Features—0
Testing Determinantal Point Processes—0
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization—0
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided ParaphrasingCode0
Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub NetworksCode0
Resource Allocation in 6G Optical Wireless Systems—0
Quality and Diversity in Evolutionary Modular Robotics—0
F2GAN: Fusing-and-Filling GAN for Few-shot Image GenerationCode1
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