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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 7651–7675 of 9051 papers

TitleStatusHype
Workplace diversity and innovation performance: current state of affairs and future directions—0
Spatial measures of genetic heterogeneity during carcinogenesis—0
A Genetic Algorithm approach to Asymmetrical Blotto Games with Heterogeneous Valuations—0
Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images—0
Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning—0
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition—0
A Generic Coordinate Descent Framework for Learning from Implicit Feedback—0
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction—0
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network—0
Spatio-Temporal Prediction of Dialectal Variant Usage—0
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling—0
SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric Pattern Generation—0
Speaker diarisation using 2D self-attentive combination of embeddings—0
Speciation in a MacArthur model predicts growth, stability and adaptation in ecosystems dynamics—0
Sparse species interactions reproduce abundance correlation patterns in microbial communities—0
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding—0
Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset—0
Spectral Policy Optimization: Coloring your Incorrect Reasoning in GRPO—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks—0
Video Description: A Survey of Methods, Datasets and Evaluation Metrics—0
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization—0
Speech Corpora Divergence Based Unsupervised Data Selection for ASR—0
A generative framework for conversational laughter: Its 'language model' and laughter sound synthesis—0
Speech Recognition with Augmented Synthesized Speech—0
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