SOTAVerified

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

Showing 16261650 of 9051 papers

TitleStatusHype
A local continuum model of cell-cell adhesion0
A unified view of generative models for networks: models, methods, opportunities, and challenges0
A Load Balanced Recommendation Approach0
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model0
Accelerated Image-Aware Generative Diffusion Modeling0
cs_english@LT-EDI-EACL2021: Hope Speech Detection Based On Fine-tuning ALBERT Model0
A Unified Statistical Model for Atmospheric Turbulence-Induced Fading in Orbital Angular Momentum Multiplexed FSO Systems0
All You Need Is Sex for Diversity0
A Unified Multi-Faceted Video Summarization System0
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages0
A unified framework based on graph consensus term for multi-view learning0
Allowing for equal opportunities for artists in music recommendation0
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling0
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring0
Accelerated DC loadflow solver for topology optimization0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models0
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability0
CTSyn: A Foundational Model for Cross Tabular Data Generation0
Augmenting Zero-Shot Detection Training with Image Labels0
Accelerate & Actualize: Can 2D Materials Bridge the Gap Between Neuromorphic Hardware and the Human Brain?0
Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition0
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers0
Adaptation Method for Misinformation Identification0
Crowdsourcing the Perception of Machine Teaching0
Augmenting medical image classifiers with synthetic data from latent diffusion models0
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