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 851–875 of 9051 papers

TitleStatusHype
G-Eval: NLG Evaluation using GPT-4 with Better Human AlignmentCode1
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose EstimationCode1
PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation LayoutCode1
Image Quality-aware Diagnosis via Meta-knowledge Co-embeddingCode1
KPEval: Towards Fine-Grained Semantic-Based Keyphrase EvaluationCode1
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste SortingCode1
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmCode1
Towards Diverse and Coherent Augmentation for Time-Series ForecastingCode1
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo SupervisionCode1
Take 5: Interpretable Image Classification with a Handful of FeaturesCode1
Re-thinking Federated Active Learning based on Inter-class DiversityCode1
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic SegmentationCode1
Active Teacher for Semi-Supervised Object DetectionCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
Diversity-Aware Meta Visual PromptingCode1
Semi-Federated Learning for Collaborative Intelligence in Massive IoT NetworksCode1
Diversity-Measurable Anomaly DetectionCode1
RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous DrivingCode1
RiDDLE: Reversible and Diversified De-identification with Latent EncryptorCode1
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRICode1
SemEval-2023 Task 10: Explainable Detection of Online SexismCode1
SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic DataCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Neural Video Compression with Diverse ContextsCode1
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image AnalysisCode1
Show:102550
← PrevPage 35 of 363Next →

No leaderboard results yet.