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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 1476–1500 of 9051 papers

TitleStatusHype
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
Object Detection in Optical Remote Sensing Images: A Survey and A New BenchmarkCode1
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from DataCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
One2Set: Generating Diverse Keyphrases as a SetCode1
Generating Novel Scene Compositions from Single Images and VideosCode1
Online Continual Learning on a Contaminated Data Stream with Blurry Task BoundariesCode1
Online Damage Recovery for Physical Robots with Hierarchical Quality-DiversityCode1
On Pretraining Data Diversity for Self-Supervised LearningCode1
On the Affinity, Rationality, and Diversity of Hierarchical Topic ModelingCode1
On the Role of Conceptualization in Commonsense Knowledge Graph ConstructionCode1
OpenGCD: Assisting Open World Recognition with Generalized Category DiscoveryCode1
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word ProblemsCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise AffinityCode1
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon PredictionCode1
Automatic Data Augmentation for 3D Medical Image SegmentationCode1
Optimal Counterfactual Explanations for Scorecard modellingCode1
Controllable Group Choreography using Contrastive DiffusionCode1
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform DeploymentCode1
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19Code1
Optimizing Readability Using Genetic AlgorithmsCode1
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain NavigationCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
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