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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 4601–4650 of 9051 papers

TitleStatusHype
Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model—0
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules—0
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents—0
Attesting Distributional Properties of Training Data for Machine LearningCode0
Liquid Crystal-Based RIS for VLC Transmitters: Performance Analysis, Challenges, and Opportunities—0
Diversifying AI: Towards Creative Chess with AlphaZero—0
Text-Only Training for Visual Storytelling—0
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active LearningCode0
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image SegmentationCode0
Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data—0
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping—0
Non-monotone Sequential Submodular Maximization—0
Lightweight Adaptation of Neural Language Models via Subspace EmbeddingCode0
Ranking-aware Uncertainty for Text-guided Image Retrieval—0
Emotion Embeddings x2014 Learning Stable and Homogeneous Abstractions from Heterogeneous Affective Datasets—0
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation—0
Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation—0
Neural Categorical Priors for Physics-Based Character Control—0
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection—0
Controlling Character Motions without Observable Driving Source—0
Composable Core-sets for Diversity Approximation on Multi-Dataset Streams—0
Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone—0
Analyzing and controlling diversity in quantum-behaved particle swarm optimization—0
Cross-view Semantic Alignment for Livestreaming Product RecognitionCode0
Evaluating the diversity and utility of materials proposed by generative models—0
Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brainCode0
Social Media, Topic Modeling and Sentiment Analysis in Municipal Decision Support—0
A Comparative Study of Image-to-Image Translation Using GANs for Synthetic Child Race Data—0
Multimodal Color Recommendation in Vector Graphic Documents—0
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election—0
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration—0
FireFly A Synthetic Dataset for Ember Detection in WildfireCode0
Towards Multiple References Era -- Addressing Data Leakage and Limited Reference Diversity in NLG EvaluationCode0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling—0
Redundancy Aware Multi-Reference Based Gainwise Evaluation of Extractive Summarization—0
TSMD: A Database for Static Color Mesh Quality Assessment Study—0
A Taxonomy of Adaptive Traffic Signal Control—0
Feature-aware conditional GAN for category text generation—0
A Novel Cross-Perturbation for Single Domain Generalization—0
Are Easy Data Easy (for K-Means)—0
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic CorporaCode0
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning—0
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness—0
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel OptimizationCode0
Phase Diverse Phase Retrieval for Microscopy: Comparison of Gaussian and Poisson ApproachesCode0
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment—0
The Algonauts Project 2023 Challenge: UARK-UAlbany Team SolutionCode0
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