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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 32513275 of 9051 papers

TitleStatusHype
RIS-Assisted High Resolution Radar Sensing0
CIC-BART-SSA: Controllable Image Captioning with Structured Semantic AugmentationCode0
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging0
Repurformer: Transformers for Repurposing-Aware Molecule Generation0
Better RAG using Relevant Information GainCode0
AU-vMAE: Knowledge-Guide Action Units Detection via Video Masked Autoencoder0
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development0
Omni-Dimensional Frequency Learner for General Time Series Analysis0
Don't Throw Away Data: Better Sequence Knowledge Distillation0
Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis0
Towards Enhanced Classification of Abnormal Lung sound in Multi-breath: A Light Weight Multi-label and Multi-head Attention Classification Method0
Research Experience of an Undergraduate Student in Computer Vision and Robotics0
MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-ExpertsCode0
Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues0
Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual0
Graph Transformers: A Survey0
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation0
HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound pose estimation0
UserBoost: Generating User-specific Synthetic Data for Faster Enrolment into Behavioural Biometric Systems0
Segmenting Medical Images with Limited DataCode0
Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential0
PersonificationNet: Making customized subject act like a person0
How Chinese are Chinese Language Models? The Puzzling Lack of Language Policy in China's LLMs0
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density0
Estimation of Distribution Algorithms with Matrix Transpose in Bayesian Learning0
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