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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 4176–4200 of 9051 papers

TitleStatusHype
Federated Learning Empowered by Generative Content—0
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization—0
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement LearningCode0
Generative AI for Physical Layer Communications: A Survey—0
R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning—0
AI Competitions and Benchmarks: Competition platforms—0
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation—0
Kraken: enabling joint trajectory prediction by utilizing Mode Transformer and Greedy Mode Processing—0
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence—0
Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors—0
Edge computing service deployment and task offloading based on multi-task high-dimensional multi-objective optimization—0
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?—0
Digital Life Project: Autonomous 3D Characters with Social Intelligence—0
DiffusionPhase: Motion Diffusion in Frequency Domain—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation—0
On the Role of Edge Dependency in Graph Generative Models—0
Enhancing Molecular Property Prediction via Mixture of Collaborative ExpertsCode0
Seller-side Outcome Fairness in Online Marketplaces—0
SO-NeRF: Active View Planning for NeRF using Surrogate Objectives—0
Generating a Map of Well-being Regions using Multiscale Moving Direction Entropy on Mobile Sensors—0
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World—0
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems—0
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion—0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
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