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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 3576–3600 of 9051 papers

TitleStatusHype
Sign Stitching: A Novel Approach to Sign Language ProductionCode0
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail RecognitionCode0
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of MetricsCode0
Discursive objection strategies in online comments: Developing a classification schema and validating its training—0
Thermodynamic limit in learning period three—0
The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?—0
ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots—0
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence—0
Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction—0
BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies—0
The Ghanaian NLP Landscape: A First Look—0
A Survey on Backbones for Deep Video Action Recognition—0
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity—0
Shifting the ISAC Trade-Off with Fluid Antenna Systems—0
VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis—0
Deep Learning Models for Atypical Serotonergic Cells RecognitionCode0
CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization—0
AFEN: Respiratory Disease Classification using Ensemble Learning—0
Topological conditions drive stability in meta-ecosystems—0
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole LanguagesCode0
Quality with Just Enough Diversity in Evolutionary Policy Search—0
The Curse of Diversity in Ensemble-Based ExplorationCode0
Behaviour Planning: A Toolkit for Diverse Planning—0
Guylingo: The Republic of Guyana Creole CorporaCode0
Persona Inconstancy in Multi-Agent LLM Collaboration: Conformity, Confabulation, and ImpersonationCode0
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