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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

Showing 23512375 of 9051 papers

TitleStatusHype
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence0
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable PromptCode1
The Ghanaian NLP Landscape: A First Look0
Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction0
BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies0
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity0
A Survey on Backbones for Deep Video Action Recognition0
VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis0
Shifting the ISAC Trade-Off with Fluid Antenna Systems0
Deep Learning Models for Atypical Serotonergic Cells RecognitionCode0
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole LanguagesCode0
CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization0
Topological conditions drive stability in meta-ecosystems0
Pedestrian Attribute Recognition as Label-balanced Multi-label LearningCode1
AFEN: Respiratory Disease Classification using Ensemble Learning0
BenthicNet: A global compilation of seafloor images for deep learning applicationsCode1
FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse LandscapesCode3
The Curse of Diversity in Ensemble-Based ExplorationCode0
Quality with Just Enough Diversity in Evolutionary Policy Search0
Towards Geographic Inclusion in the Evaluation of Text-to-Image ModelsCode1
Behaviour Planning: A Toolkit for Diverse Planning0
Navigating Chemical Space with Latent FlowsCode1
Persona Inconstancy in Multi-Agent LLM Collaboration: Conformity, Confabulation, and ImpersonationCode0
Guylingo: The Republic of Guyana Creole CorporaCode0
MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization0
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