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 5001–5025 of 9051 papers

TitleStatusHype
Representation Heterogeneity—0
Language statistics at different spatial, temporal, and grammatical scales—0
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular GenerationCode1
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation—0
Resources for Multilingual Hate Speech Detection—0
”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer—0
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine TranslationCode0
CSECU-DSG at SemEval-2022 Task 11: Identifying the Multilingual Complex Named Entity in Text Using Stacked Embeddings and Transformer based Approach—0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
How do people talk about images? A study on open-domain conversations with images.—0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation—0
Educational Multi-Question Generation for Reading ComprehensionCode0
ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022Code1
Keeping Less is More: Point Sparsification for Visual SLAM—0
Non-blind optical degradation correction via frequency self-adaptive and finetune tacticsCode0
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
Forecasting Future World Events with Neural NetworksCode1
Ranking In Generalized Linear BanditsCode0
BigBIO: A Framework for Data-Centric Biomedical Natural Language ProcessingCode2
Semantic Image Synthesis via Diffusion ModelsCode2
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
A local continuum model of cell-cell adhesion—0
Siamese Contrastive Embedding Network for Compositional Zero-Shot LearningCode1
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member ModelsCode0
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations—0
Show:102550
← PrevPage 201 of 363Next →

No leaderboard results yet.