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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 376–400 of 9051 papers

TitleStatusHype
DALNet: A Rail Detection Network Based on Dynamic Anchor LineCode1
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance ScalingCode1
Dance with You: The Diversity Controllable Dancer Generation via Diffusion ModelsCode1
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer CapabilitiesCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
Dan: Deep attention neural network for news recommendationCode1
Data Augmentation using Pre-trained Transformer ModelsCode1
Curriculum-guided Hindsight Experience ReplayCode1
AARGH! End-to-end Retrieval-Generation for Task-Oriented DialogCode1
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data PruningCode1
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand PoseCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
CrowdHuman: A Benchmark for Detecting Human in a CrowdCode1
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
AfriSenti: A Twitter Sentiment Analysis Benchmark for African LanguagesCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
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