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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 726–750 of 9051 papers

TitleStatusHype
AutoSTR: Efficient Backbone Search for Scene Text RecognitionCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
DART: Articulated Hand Model with Diverse Accessories and Rich TexturesCode1
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and DetectionCode1
Adversarial Parametric Pose PriorCode1
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning modelsCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code ContributionsCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task LearningCode1
Ensemble Diversity Facilitates Adversarial TransferabilityCode1
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition ChallengesCode1
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word ProblemsCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images GenerationCode1
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19Code1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
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