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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 4451–4500 of 9051 papers

TitleStatusHype
SiLK: Simple Learned Keypoints—0
Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking—0
CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images—0
Progressive Spatio-Temporal Prototype Matching for Text-Video RetrievalCode1
Quality Diversity for Visual Pre-Training—0
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature FusionCode0
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face SynthesisCode1
Mask-Guided Matting in the Wild—0
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and ScenesCode0
Hybrid Active Learning via Deep Clustering for Video Action Detection—0
Optimizing Readability Using Genetic AlgorithmsCode1
Market Design with Distributional Objectives—0
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek—0
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning—0
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countriesCode0
Result Diversification in Search and Recommendation: A SurveyCode0
Political representation bias in DBpedia and Wikidata as a challenge for downstream processing—0
Spatial Structure Supports Diversity in Prebiotic Autocatalytic Chemical Ecosystems—0
Topological Data Analysis of Spatial Patterning in Heterogeneous Cell Populations: Clustering and Sorting with Varying Cell-Cell Adhesion—0
Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm—0
Reconfigurable Holographic Surface: A New Paradigm to Implement Holographic Radio—0
Personalized Student Attribute Inference—0
Link-level simulator for 5G localizationCode0
Personalized Prediction of Offensive News Comments by Considering the Characteristics of Commenters—0
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer—0
Boosting Out-of-Distribution Detection with Multiple Pre-trained ModelsCode0
Recommending on graphs: a comprehensive review from a data perspective—0
Multi-Frequency Channel Modeling for Millimeter Wave and THz Wireless Communication via Generative Adversarial NetworksCode0
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?Code0
Secure and Privacy Preserving Proxy Biometrics Identities—0
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction—0
Efficient aggregation of face embeddings for decentralized face recognition deployments (extended version)—0
A Pattern Discovery Approach to Multivariate Time Series Forecasting—0
CausalDialogue: Modeling Utterance-level Causality in ConversationsCode0
Data Curation Alone Can Stabilize In-context LearningCode1
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
DISCO: Distilling Counterfactuals with Large Language ModelsCode1
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept RelationshipsCode0
Unleashing the Power of Visual Prompting At the Pixel LevelCode0
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization—0
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media—0
Natural Language to Code Generation in Interactive Data Science Notebooks—0
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism—0
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization—0
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political DiscussionCode0
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text GenerationCode0
Natural Language Processing in Customer Service: A Systematic Review—0
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
Experiments on Generalizability of BERTopic on Multi-Domain Short Text—0
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