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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 3251–3300 of 9051 papers

TitleStatusHype
ARTEMIS: Using GANs with Multiple Discriminators to Generate Art—0
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental ComparisonsCode0
Can LLMs Patch Security Issues?Code1
Semantically Grounded QFormer for Efficient Vision Language Understanding—0
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study—0
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion ModelsCode1
ALBA: Adaptive Language-based Assessments for Mental Health—0
CloudEval-YAML: A Practical Benchmark for Cloud Configuration GenerationCode1
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approachCode0
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and FlatnessCode0
Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related TasksCode0
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval—0
Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models—0
Learning-Based Biharmonic Augmentation for Point Cloud Classification—0
Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems—0
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization—0
Florence-2: Advancing a Unified Representation for a Variety of Vision TasksCode1
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction ModelCode2
Workplace diversity and innovation performance: current state of affairs and future directions—0
Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data—0
Reconstructing Objects in-the-wild for Realistic Sensor Simulation—0
Generalization in medical AI: a perspective on developing scalable models—0
Assessing Distractors in Multiple-Choice Tests—0
CLearViD: Curriculum Learning for Video Description—0
MixTEA: Semi-supervised Entity Alignment with Mixture TeachingCode0
RankAug: Augmented data ranking for text classification—0
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems—0
Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition—0
Prediction of viral spillover risk based on the mass action principle—0
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation—0
Bias and Diversity in Synthetic-based Face Recognition—0
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
Measuring Adversarial Datasets—0
Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking—0
Tailoring Self-Rationalizers with Multi-Reward DistillationCode0
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis—0
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols—0
LLMs grasp morality in concept—0
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance—0
Perturbation-based Active Learning for Question Answering—0
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation—0
Carrier Frequency Offset Estimation for OCDM with Null Subchirps—0
Domain Randomization via Entropy Maximization—0
Mix-ME: Quality-Diversity for Multi-Agent Learning—0
Data-Free Distillation of Language Model by Text-to-Text Transfer—0
Data-Centric Long-Tailed Image Recognition—0
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysisCode1
Task-Agnostic Low-Rank Adapters for Unseen English DialectsCode0
Statistical Results of Multivariate Fox-H Function for Exact Performance Analysis of RIS-Assisted Wireless Communication—0
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors—0
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