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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 1401–1425 of 9051 papers

TitleStatusHype
EvolGAN: Evolutionary Generative Adversarial NetworksCode1
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial LearningCode1
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word ProblemsCode1
DiffWave: A Versatile Diffusion Model for Audio SynthesisCode1
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
Group-wise Contrastive Learning for Neural Dialogue GenerationCode1
Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from DataCode1
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language UnderstandingCode1
Towards Unique and Informative Captioning of ImagesCode1
Mapping Researchers with PeopleMapCode1
DeepFacePencil: Creating Face Images from Freehand SketchesCode1
Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR DataCode1
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of ModelsCode1
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential RecommendationCode1
Contextual Diversity for Active LearningCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
TransNet V2: An effective deep network architecture for fast shot transition detectionCode1
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-IdentificationCode1
F2GAN: Fusing-and-Filling GAN for Few-shot Image GenerationCode1
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking BenchmarkCode1
Adversarial Semantic Data Augmentation for Human Pose EstimationCode1
PhraseCut: Language-based Image Segmentation in the WildCode1
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
FHDe²Net: Full High Definition Demoireing NetworkCode1
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