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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 5301–5325 of 9051 papers

TitleStatusHype
Secure Power Control for Downlink Cell-Free Massive MIMO With Passive Eavesdroppers—0
Prosody-controllable spontaneous TTS with neural HMMs—0
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems—0
Cambrian Explosion Algorithm for Multi-Objective Association Rules Mining—0
Unsupervised User-Based Insider Threat Detection Using Bayesian Gaussian Mixture Models—0
Agent-Specific Deontic Modality Detection in Legal Language—0
Fairly Allocating Utility in Constrained Multiwinner Elections—0
Efficient Exploration using Model-Based Quality-Diversity with Gradients—0
Discovering Unsupervised Behaviours from Full-State Trajectories—0
Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge—0
Best-k Search Algorithm for Neural Text Generation—0
FLEX: Full-Body Grasping Without Full-Body Grasps—0
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision TransformersCode0
Evolutionary Strategies for the Design of Binary Linear Codes—0
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models—0
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification—0
Cultural Incongruencies in Artificial Intelligence—0
A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals—0
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization—0
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture—0
Social Diversity Reduces the Complexity and Cost of Fostering Fairness—0
Delving into Transformer for Incremental Semantic Segmentation—0
Vision Transformers in Medical Imaging: A Review—0
Weighted Ensemble Self-Supervised Learning—0
A Structure-Guided Diffusion Model for Large-Hole Image CompletionCode0
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