SOTAVerified

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 5051–5075 of 9051 papers

TitleStatusHype
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss—0
Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network—0
Personalized Federated Learning via Variational Bayesian InferenceCode1
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple ExpertsCode0
Improving Diversity with Adversarially Learned Transformations for Domain GeneralizationCode1
Resource-Constrained Edge AI with Early Exit Prediction—0
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design—0
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring—0
Object Scene Representation Transformer—0
Open-Ended Learning Strategies for Learning Complex Locomotion Skills—0
Analysis of function approximation and stability of general DNNs in directed acyclic graphs using un-rectifying analysis—0
Emoji-based Fine-grained Attention Network for Sentiment Analysis in the Microblog Comments—0
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation—0
Highlights of Semantics in Multi-objective Genetic Programming—0
Generate, Evaluate, and Select: A Dialogue System with a Response Evaluator for Diversity-Aware Response Generation—0
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation—0
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning—0
On the Performance of UAV Relaying with Reconfigurable Antenna and Media Based Modulation in the Presence of Shadowed Fading—0
In search for an alternative to the computer metaphor of the mind and brain—0
Deep Surrogate Assisted Generation of Environments—0
OOD Augmentation May Be at Odds with Open-Set Recognition—0
SCAMPS: Synthetics for Camera Measurement of Physiological SignalsCode2
The influence of color on prices of abstract paintings—0
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Real-World Image Super-Resolution by Exclusionary Dual-LearningCode1
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