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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 1001–1050 of 9051 papers

TitleStatusHype
Theoretical Analysis of Quality Diversity Algorithms for a Classical Path Planning Problem—0
StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair Geometric PriorsCode1
Relation-Guided Adversarial Learning for Data-free Knowledge TransferCode1
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency ParsingCode0
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic SegmentationCode1
Decoding OTC Government Bond Market Liquidity: An ABM Model for Market Dynamics—0
Experimental Study on the Effect of Synchronization Accuracy for Near-Field RF Wireless Power Transfer in Multi-Antenna Systems—0
Classification Drives Geographic Bias in Street Scene Segmentation—0
Binary or nonbinary? An evolutionary learning approach to gender identity—0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer—0
The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion—0
EvalGIM: A Library for Evaluating Generative Image ModelsCode2
One world, one opinion? The superstar effect in LLM responses—0
Benchmarking Linguistic Diversity of Large Language ModelsCode0
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks—0
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
Dialogue Language Model with Large-Scale Persona Data Engineering—0
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability—0
STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading—0
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI—0
Benchmarking LLMs for Mimicking Child-Caregiver Language in Interaction—0
Learning Camera Movement Control from Real-World Drone Videos—0
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting—0
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software—0
RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation—0
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation—0
Competition and Diversity in Generative AICode0
Surveying Facial Recognition Models for Diverse Indian Demographics: A Comparative Analysis on LFW and Custom Dataset—0
Towards Precision in Bolted Joint Design: A Preliminary Machine Learning-Based Parameter Prediction—0
AmCLR: Unified Augmented Learning for Cross-Modal RepresentationsCode0
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets—0
LOGen: Toward Lidar Object Generation by Point Diffusion—0
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive AnnotationsCode5
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks—0
CADSpotting: Robust Panoptic Symbol Spotting on Large-Scale CAD Drawings—0
MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation—0
Reconfigurable Holographic Surface-aided Distributed MIMO Radar Systems—0
AIDE: Task-Specific Fine Tuning with Attribute Guided Multi-Hop Data Expansion—0
Diffusing Differentiable Representations—0
Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy—0
Learnable Evolutionary Multi-Objective Combinatorial Optimization via Sequence-to-Sequence ModelCode0
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection—0
Diverse Score Distillation—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach—0
PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting—0
Does RLHF Scale? Exploring the Impacts From Data, Model, and Method—0
Measuring Grammatical Diversity from Small Corpora: Derivational Entropy Rates, Mean Length of Utterances, and Annotation Invariance—0
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