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 1201–1250 of 9051 papers

TitleStatusHype
Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition—0
Gini Coefficient as a Unified Metric for Evaluating Many-versus-Many Similarity in Vector Spaces—0
Multi-Objective Algorithms for Learning Open-Ended Robotic Problems—0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration—0
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-IDCode1
A comprehensive representation of selection at loci with multiple alleles that allows complex forms of genotypic fitnessCode0
PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling—0
Deep Active Learning in the Open World—0
ViTOC: Vision Transformer and Object-aware Captioner—0
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop—0
Quasi-random Multi-Sample Inference for Large Language Models—0
MOANA: Multi-Objective Ant Nesting Algorithm for Optimization Problems—0
Bridging the Gap between Learning and Inference for Diffusion-Based Molecule GenerationCode0
STARS: Sensor-agnostic Transformer Architecture for Remote Sensing—0
Dialectal Coverage And Generalization in Arabic Speech RecognitionCode2
Generating Highly Designable Proteins with Geometric Algebra Flow MatchingCode1
One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversityCode0
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior—0
PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting DiversityCode0
Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning—0
Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks—0
Diversity Helps Jailbreak Large Language Models—0
SEE-DPO: Self Entropy Enhanced Direct Preference Optimization—0
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment ApproachCode0
Evolutionary features in a minimal physical system: directionality, diversity, selection, growth, inheritance, and adaptation—0
Community Forensics: Using Thousands of Generators to Train Fake Image DetectorsCode1
How Does A Text Preprocessing Pipeline Affect Ontology Syntactic Matching?Code0
Hiring as Exploration—0
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-MakingCode2
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 LanguagesCode0
Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs—0
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training—0
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-AgentsCode1
A Post-Training Enhanced Optimization Approach for Small Language Models—0
IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems—0
Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative ModelsCode0
Spontaneous Emergence of Agent Individuality through Social Interactions in LLM-Based Communities—0
Growing a Tail: Increasing Output Diversity in Large Language Models—0
Towards Leveraging News Media to Support Impact Assessment of AI Technologies—0
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language AttackCode1
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives—0
Not Just Object, But State: Compositional Incremental Learning without ForgettingCode1
Learning General-Purpose Biomedical Volume Representations using Randomized SynthesisCode2
Evaluating Creative Short Story Generation in Humans and Large Language ModelsCode0
A Coverage-Guided Testing Framework for Quantum Neural Networks—0
Diversity Progress for Goal Selection in Discriminability-Motivated RL—0
Diversidade linguística e inclusão digital: desafios para uma ia brasileira—0
Show:102550
← PrevPage 25 of 182Next →

No leaderboard results yet.