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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 801–850 of 9051 papers

TitleStatusHype
Whitening-based Contrastive Learning of Sentence EmbeddingsCode1
Rethinking Masked Language Modeling for Chinese Spelling CorrectionCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
Exploiting Abstract Meaning Representation for Open-Domain Question AnsweringCode1
Optimized Custom Dataset for Efficient Detection of Underwater TrashCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image SegmentationCode1
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph DiffusionCode1
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationCode1
CodeInstruct: Empowering Language Models to Edit CodeCode1
GUARD: A Safe Reinforcement Learning BenchmarkCode1
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability AssessmentCode1
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion DiffusionCode1
Boosting Human-Object Interaction Detection with Text-to-Image Diffusion ModelCode1
Learning Diverse Risk Preferences in Population-based Self-playCode1
Learning In-context Learning for Named Entity RecognitionCode1
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer TasksCode1
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsCode1
CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual GroundingCode1
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design ApplicationsCode1
Harvesting Event Schemas from Large Language ModelsCode1
Device-Robust Acoustic Scene Classification via Impulse Response AugmentationCode1
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution EstimationCode1
Multi-Robot Coordination and Layout Design for Automated WarehousingCode1
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackersCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized DiversityCode1
2D medical image synthesis using transformer-based denoising diffusion probabilistic modelCode1
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent LearningCode1
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingCode1
DiffuSum: Generation Enhanced Extractive Summarization with DiffusionCode1
Class-Balancing Diffusion ModelsCode1
Generating images of rare concepts using pre-trained diffusion modelsCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Effect of latent space distribution on the segmentation of images with multiple annotationsCode1
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic SegmentationCode1
Revisiting k-NN for Fine-tuning Pre-trained Language ModelsCode1
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric ViewsCode1
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANsCode1
Shape-Erased Feature Learning for Visible-Infrared Person Re-IdentificationCode1
Zero-shot Generative Model Adaptation via Image-specific Prompt LearningCode1
Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen DomainsCode1
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale ReconstructionCode1
Efficient OCR for Building a Diverse Digital HistoryCode1
SLPerf: a Unified Framework for Benchmarking Split LearningCode1
DivClust: Controlling Diversity in Deep ClusteringCode1
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking TasksCode1
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesCode1
A View From Somewhere: Human-Centric Face RepresentationsCode1
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