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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 651–675 of 9051 papers

TitleStatusHype
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
A Doubly Decoupled Network for edge detectionCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text GenerationCode1
An Empirical Study of Vehicle Re-Identification on the AI City ChallengeCode1
An Informative Tracking BenchmarkCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
Advanced Codebook Design for SCMA-aided NTNs With Randomly Distributed UsersCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language ModelCode1
Differentiable Quality DiversityCode1
Differential Evolution with Reversible Linear TransformationsCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
DiffSketching: Sketch Control Image Synthesis with Diffusion ModelsCode1
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealingCode1
Controllable Multi-Interest Framework for RecommendationCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue GenerationCode1
Controllable Group Choreography using Contrastive DiffusionCode1
Controllable Video Captioning with an Exemplar SentenceCode1
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