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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 7451–7500 of 9051 papers

TitleStatusHype
RNE: A Scalable Network Embedding for Billion-scale Recommendation—0
Rainy screens: Collecting rainy datasets, indoors—0
Diversity inducing Information Bottleneck in Model EnsemblesCode0
Discovering Representations for Black-box OptimizationCode0
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world—0
Dispersal-induced instability in complex ecosystems—0
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity SamplingCode0
Learning the Designer's Preferences to Drive Evolution—0
Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature DimensionsCode0
Hierarchical Modes Exploring in Generative Adversarial Networks—0
Stochastic Linear Contextual Bandits with Diverse Contexts—0
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors—0
QED: using Quality-Environment-Diversity to evolve resilient robot swarmsCode0
Anytime Inference with Distilled Hierarchical Neural EnsemblesCode0
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation—0
Iterative Averaging in the Quest for Best Test Error—0
Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization—0
The Data Science Fire Next Time: Innovative strategies for mentoring in data science—0
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS -- a collection of Technical Notes Part 1—0
Using a thousand optimization tasks to learn hyperparameter search strategies—0
SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech TranslationCode0
Forming Diverse Teams from Sequentially Arriving People—0
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective—0
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identificationCode0
Diversity-Based Generalization for Unsupervised Text Classification under Domain ShiftCode0
DotFAN: A Domain-transferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition—0
Shared optical wireless cells for in-cabin aircraft links—0
Indicator & crowding Distance-Based Evolutionary Algorithm for Combined Heat and Power Economic Emission Dispatch—0
Is there sufficient evidence for criticality in cortical systems?—0
Captioning Images Taken by People Who Are Blind—0
Multi-objective Consensus Clustering Framework for Flight Search Recommendation—0
Affinity and Diversity: Quantifying Mechanisms of Data Augmentation—0
Diversity sampling is an implicit regularization for kernel methods—0
From Matching with Diversity Constraints to Matching with Regional Quotas—0
5G Simulation-Based Experimentation Framework for Vertical Performance Assessment—0
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework—0
Bit Error Rate Analysis of M-ARY PSK and M-ARY QAM Over Rician Fading Channel—0
Dual-CNN: A Convolutional language decoder for paragraph image captioning—0
Coherent and Archimedean choice in general Banach spaces—0
Object Detection as a Positive-Unlabeled Problem—0
Regularized Evolutionary Population-Based Training—0
Regularized Submodular Maximization at Scale—0
Diversity and Inclusion Metrics in Subset Selection—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
Importance-Driven Deep Learning System Testing—0
Learning efficient structured dictionary for image classification—0
AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment—0
Crowded trades, market clustering, and price instability—0
Manifold for Machine Learning Assurance—0
Social diversity and social preferences in mixed-motive reinforcement learning—0
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