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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 3401–3450 of 9051 papers

TitleStatusHype
Decomposed evaluations of geographic disparities in text-to-image models—0
1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis—0
Improving Adversarial Robustness via Decoupled Visual Representation MaskingCode0
GANmut: Generating and Modifying Facial Expressions—0
Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning—0
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation—0
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks—0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
Linear Contextual Bandits with Hybrid Payoff: RevisitedCode0
Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective—0
Contextual Distillation Model for Diversified Recommendation—0
FouRA: Fourier Low Rank Adaptation—0
SimGen: Simulator-conditioned Driving Scene Generation—0
FairCoT: Enhancing Fairness in Diffusion Models via Chain of Thought Reasoning of Multimodal Language Models—0
StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning—0
Pareto Front-Diverse Batch Multi-Objective Bayesian OptimizationCode0
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning—0
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation—0
Meta-Learning an Evolvable Developmental EncodingCode0
Decoding the Diversity: A Review of the Indic AI Research Landscape—0
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation—0
Data Augmentation by Fuzzing for Neural Test Generation—0
Unraveling Code-Mixing Patterns in Migration Discourse: Automated Detection and Analysis of Online Conversations on RedditCode0
Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions—0
Should XAI Nudge Human Decisions with Explanation Biasing?—0
An Optimism-based Approach to Online Evaluation of Generative Models—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
Systematic evaluation of the isolated effect of tissue environment on the transcriptome using a single-cell RNA-seq atlas dataset—0
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
Optimisation of federated learning settings under statistical heterogeneity variations—0
mHuBERT-147: A Compact Multilingual HuBERT ModelCode0
UnSupDLA: Towards Unsupervised Document Layout Analysis—0
SSCL-IDS: Enhancing Generalization of Intrusion Detection with Self-Supervised Contrastive LearningCode0
Learning Continually by Spectral Regularization—0
The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems—0
Data Augmentation in Earth Observation: A Diffusion Model Approach—0
Contrastive Learning from Synthetic Audio Doppelgängers—0
Robust portfolio optimization for recommender systems considering uncertainty of estimated statistics—0
An Efficient Framework for Crediting Data Contributors of Diffusion Models—0
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models—0
Diverse 3D Human Pose Generation in Scenes based on Decoupled Structure—0
Creativity Has Left the Chat: The Price of Debiasing Language Models—0
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language ModelsCode0
Select-Mosaic: Data Augmentation Method for Dense Small Object ScenesCode0
Baking Symmetry into GFlowNets—0
CTSyn: A Foundational Model for Cross Tabular Data Generation—0
Language Guided Skill Discovery—0
CityCraft: A Real Crafter for 3D City Generation—0
HateDebias: On the Diversity and Variability of Hate Speech Debiasing—0
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