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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7976–8000 of 9051 papers

TitleStatusHype
Imbalanced Sentiment Classification Enhanced with Discourse Marker—0
Describing like humans: on diversity in image captioningCode0
FVD: A new Metric for Video Generation—0
Generating Diverse High-Resolution Images with VQ-VAE—0
Initial Crypto-asset Offerings (ICOs), tokenization and corporate governance—0
Genetic drift in range expansions is very sensitive to density feedback in dispersal and growth—0
Deep Co-Training for Semi-Supervised Image SegmentationCode0
Diversity with Cooperation: Ensemble Methods for Few-Shot ClassificationCode0
Visible Light Optical Data Centre Links—0
A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation—0
Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder—0
Deep Generative Inpainting with Comparative Sample Augmentation—0
2-D Coherence Factor for Sidelobe and Ghost Suppressions in Radar Imaging—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection—0
Implementing a Concept Network Model—0
Non-rigid 3D shape retrieval based on multi-view metric learning—0
Im2Pencil: Controllable Pencil Illustration from PhotographsCode0
Distributed Maximization of Submodular plus Diversity Functions for Multi-label Feature Selection on Huge Datasets—0
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants—0
Gradient based sample selection for online continual learningCode0
How to Make Swarms Open-Ended? Evolving Collective Intelligence Through a Constricted Exploration of Adjacent Possibles—0
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation—0
Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents—0
Multi-agent query reformulation: Challenges and the role of diversity—0
Show:102550
← PrevPage 320 of 363Next →

No leaderboard results yet.