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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 6351–6400 of 9051 papers

TitleStatusHype
Domain Generalization with MixStyle—0
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction—0
Extraction of instantaneous frequencies and amplitudes in nonstationary time-series dataCode1
Measuring Linguistic Diversity During COVID-19—0
Interpretable Unsupervised Diversity Denoising and Artefact RemovalCode1
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation—0
Channel Estimation for MIMO Space Time Coded OTFS under Doubly Selective Channels—0
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics—0
Situation-Specific Multimodal Feature Adaptation—0
Exploring Implicit Sentiment Evoked by Fine-grained News Events—0
Universal Joy A Data Set and Results for Classifying Emotions Across Languages—0
Abusive Language Recognition in RussianCode0
Implementing Evaluation Metrics Based on Theories of Democracy in News Comment Recommendation (Hackathon Report)—0
Comment Section Personalization: Algorithmic, Interface, and Interaction Design—0
No NLP Task Should be an Island: Multi-disciplinarity for Diversity in News Recommender Systems—0
IIIT_DWD@LT-EDI-EACL2021: Hope Speech Detection in YouTube multilingual comments—0
MUCS@LT-EDI-EACL2021:CoHope-Hope Speech Detection for Equality, Diversity, and Inclusion in Code-Mixed Texts—0
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline—0
Hopeful NLP@LT-EDI-EACL2021: Finding Hope in YouTube Comment Section—0
KU_NLP@LT-EDI-EACL2021: A Multilingual Hope Speech Detection for Equality, Diversity, and Inclusion using Context Aware Embeddings—0
Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion—0
cs_english@LT-EDI-EACL2021: Hope Speech Detection Based On Fine-tuning ALBERT Model—0
IIITT@DravidianLangTech-EACL2021: Transfer Learning for Offensive Language Detection in Dravidian LanguagesCode0
CFILT IIT Bombay@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion using Multilingual Representation fromTransformers—0
Simon @ LT-EDI-EACL2021: Detecting Hope Speech with BERT—0
Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model—0
Expanding, Retrieving and Infilling: Diversifying Cross-Domain Question Generation with Flexible TemplatesCode0
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training—0
From characters to words: the turning point of BPE mergesCode0
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness—0
WakaVT: A Sequential Variational Transformer for Waka Generation—0
Towards Evaluating and Training Verifiably Robust Neural NetworksCode1
In&Out : Diverse Image Outpainting via GAN Inversion—0
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space ShrinkingCode1
Unconstrained Scene Generation with Locally Conditioned Radiance FieldsCode1
Rainbow Memory: Continual Learning with a Memory of Diverse SamplesCode1
Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite—0
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial TrainingCode0
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment AnalysisCode0
Self-supervised Discriminative Feature Learning for Deep Multi-view ClusteringCode1
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection—0
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification—0
Automated Backend-Aware Post-Training Quantization—0
A Genetic Algorithm approach to Asymmetrical Blotto Games with Heterogeneous Valuations—0
Continual Speaker Adaptation for Text-to-Speech Synthesis—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity MaximizationCode1
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification—0
Adversarial Imitation Learning with Trajectorial Augmentation and CorrectionCode0
Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning—0
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