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 1026–1050 of 9051 papers

TitleStatusHype
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
Tackling covariate shift with node-based Bayesian neural networksCode1
Revealing the Dark Secrets of Masked Image ModelingCode1
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data AugmentationCode1
Rethinking Fano's Inequality in Ensemble LearningCode1
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language ModelsCode1
KERPLE: Kernelized Relative Positional Embedding for Length ExtrapolationCode1
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic SegmentationCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with TreemapsCode1
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language UnderstandingCode1
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and MetricsCode1
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue DatabaseCode1
Attracting and Dispersing: A Simple Approach for Source-free Domain AdaptationCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
Continual Object Detection via Prototypical Task Correlation Guided Gating MechanismCode1
Seed-Guided Topic Discovery with Out-of-Vocabulary SeedsCode1
RU-Net: Regularized Unrolling Network for Scene Graph GenerationCode1
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense InferenceCode1
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive LearningCode1
User-controllable Recommendation Against Filter BubblesCode1
Where in the World is this Image? Transformer-based Geo-localization in the WildCode1
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response GenerationCode1
Show:102550
← PrevPage 42 of 363Next →

No leaderboard results yet.