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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 3201–3250 of 9051 papers

TitleStatusHype
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
CURAJ_IIITDWD@LT-EDI-ACL 2022: Hope Speech Detection in English YouTube Comments using Deep Learning Techniques—0
A Unifying Information-theoretic Perspective on Evaluating Generative Models—0
A local continuum model of cell-cell adhesion—0
Cultural Incongruencies in Artificial Intelligence—0
A unified view of generative models for networks: models, methods, opportunities, and challenges—0
Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory—0
A Load Balanced Recommendation Approach—0
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model—0
Accelerated Image-Aware Generative Diffusion Modeling—0
Cultural Diversity and Its Impact on Governance—0
Semantic and Expressive Variation in Image Captions Across Languages—0
A Unified Statistical Model for Atmospheric Turbulence-Induced Fading in Orbital Angular Momentum Multiplexed FSO Systems—0
Cultivating DNN Diversity for Large Scale Video Labelling—0
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network—0
A Unified Multi-Faceted Video Summarization System—0
All You Need Is Sex for Diversity—0
Cuid: A new study of perceived image quality and its subjective assessment—0
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution—0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation—0
A unified framework based on graph consensus term for multi-view learning—0
CTSyn: A Foundational Model for Cross Tabular Data Generation—0
CT-SGAN: Computed Tomography Synthesis GAN—0
CtrTab: Tabular Data Synthesis with High-Dimensional and Limited Data—0
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring—0
Allowing for equal opportunities for artists in music recommendation—0
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling—0
Accelerated DC loadflow solver for topology optimization—0
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages—0
CTR-Guided Generative Query Suggestion in Conversational Search—0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis—0
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models—0
CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool—0
Augmenting Zero-Shot Detection Training with Image Labels—0
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability—0
cs_english@LT-EDI-EACL2021: Hope Speech Detection Based On Fine-tuning ALBERT Model—0
Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition—0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
CSECU-DSG at SemEval-2022 Task 11: Identifying the Multilingual Complex Named Entity in Text Using Stacked Embeddings and Transformer based Approach—0
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers—0
Adaptation Method for Misinformation Identification—0
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis—0
Crowdsourcing with Fairness, Diversity and Budget Constraints—0
Augmenting medical image classifiers with synthetic data from latent diffusion models—0
Crowdsourcing the Perception of Machine Teaching—0
Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers—0
Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters—0
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives—0
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform—0
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