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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 3901–3925 of 9051 papers

TitleStatusHype
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments—0
AI and Identity—0
A minimal model of pan-immunity maintenance by horizontal gene transfer in the ecological dynamics of bacteria and phages—0
Autoencoder-based General Purpose Representation Learning for Customer Embedding—0
OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction—0
RORA: Robust Free-Text Rationale EvaluationCode0
TroubleLLM: Align to Red Team Expert—0
Priority Sampling of Large Language Models for Compilers—0
Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble—0
Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScoreCode0
Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future—0
Image-Text Matching with Multi-View Attention—0
Federated Learning for Estimating Heterogeneous Treatment Effects—0
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning—0
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices—0
SoFA: Shielded On-the-fly Alignment via Priority Rule FollowingCode0
RECOST: External Knowledge Guided Data-efficient Instruction Tuning—0
DivAvatar: Diverse 3D Avatar Generation with a Single Prompt—0
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data—0
TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics—0
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts—0
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning—0
Topic-to-essay generation with knowledge-based content selection—0
On Languaging a Simulation Engine—0
DiffuCOMET: Contextual Commonsense Knowledge DiffusionCode0
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