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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 7801–7825 of 9051 papers

TitleStatusHype
TaskSet: A Dataset of Optimization TasksCode0
Learning a Mixture of Granularity-Specific Experts for Fine-Grained CategorizationCode0
Learning a Neural 3D Texture Space from 2D ExemplarsCode0
Perturbation-based Effect Measures for Compositional DataCode0
Crossing Boundaries: Leveraging Semantic Divergences to Explore Cultural Novelty in Cooking RecipesCode0
Self-Supervised Learning of Face Representations for Video Face ClusteringCode0
Perturbing the Gradient for Alleviating Meta OverfittingCode0
Pessimistic Backward Policy for GFlowNetsCode0
What is "Typological Diversity" in NLP?Code0
EdgeNet: A novel approach for Arabic numeral classificationCode0
Benchmark tasks for Quality-Diversity applied to Uncertain domainsCode0
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance DetectionCode0
Phase Diverse Phase Retrieval for Microscopy: Comparison of Gaussian and Poisson ApproachesCode0
Benchmarking the Fairness of Image Upsampling MethodsCode0
Self-supervised transformer-based pre-training method with General Plant Infection datasetCode0
ECO: Efficient Convolution Operators for TrackingCode0
Cross-domain Semantic Parsing via ParaphrasingCode0
Voices of Her: Analyzing Gender Differences in the AI Publication WorldCode0
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational AutoencodersCode0
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic LanguagesCode0
Implementing Smart Contracts: The case of NFT-rental with pay-per-likeCode0
Imitation Learning for Sentence Generation with Dilated Convolutions Using Adversarial TrainingCode0
Learning Diverse Features in Vision Transformers for Improved GeneralizationCode0
Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2nightCode0
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation ProcessingCode0
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