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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 776–800 of 9051 papers

TitleStatusHype
Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature AlignmentCode1
A Quantum Leaky Integrate-and-Fire Spiking Neuron and NetworkCode1
Group-wise Contrastive Learning for Neural Dialogue GenerationCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand PoseCode1
ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of ModelsCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
Heterogeneous Multi-task Learning with Expert DiversityCode1
Dyadic Interaction Modeling for Social Behavior GenerationCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
BenthicNet: A global compilation of seafloor images for deep learning applicationsCode1
High-Fidelity Pluralistic Image Completion with TransformersCode1
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document SummarizationCode1
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionCode1
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn InteractionCode1
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
AfriSenti: A Twitter Sentiment Analysis Benchmark for African LanguagesCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
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