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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 1301–1350 of 9051 papers

TitleStatusHype
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn InteractionCode1
HomoFormer: Homogenized Transformer for Image Shadow RemovalCode1
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality DataCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
How Many Topics? Stability Analysis for Topic ModelsCode1
Rethinking conditional GAN training: An approach using geometrically structured latent manifoldsCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
BoostTree and BoostForest for Ensemble LearningCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image ModelsCode1
Bootstrapping Referring Multi-Object TrackingCode1
ID-Booth: Identity-consistent Face Generation with Diffusion ModelsCode1
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial NetworkCode1
Image Disentanglement Autoencoder for Steganography Without EmbeddingCode1
An Informative Tracking BenchmarkCode1
Image Generation From Small Datasets via Batch Statistics AdaptationCode1
DALNet: A Rail Detection Network Based on Dynamic Anchor LineCode1
Implicit Neural Representations for Variable Length Human Motion GenerationCode1
Deep Image Harmonization with Learnable AugmentationCode1
Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs DistillationCode1
Advanced Codebook Design for SCMA-aided NTNs With Randomly Distributed UsersCode1
Improving Adversarial Transferability with Gradient RefiningCode1
Improving Contrastive Learning on Imbalanced Data via Open-World SamplingCode1
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce ClassificationCode1
Controllable Video Captioning with an Exemplar SentenceCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
Improving the Fairness of Deep Generative Models without RetrainingCode1
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
Controllable Multi-Interest Framework for RecommendationCode1
Inducing High Energy-Latency of Large Vision-Language Models with Verbose ImagesCode1
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale ReconstructionCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text GenerationCode1
InsetGAN for Full-Body Image GenerationCode1
Contrastive Syn-to-Real GeneralizationCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemCode1
Instruction-Tuning Data Synthesis from Scratch via Web ReconstructionCode1
Contrastive Model Inversion for Data-Free Knowledge DistillationCode1
Intra-Source Style Augmentation for Improved Domain GeneralizationCode1
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language ModelsCode1
Inverse Materials Design by Large Language Model-Assisted Generative FrameworkCode1
Contrastive Quantization with Code Memory for Unsupervised Image RetrievalCode1
Controllable Group Choreography using Contrastive DiffusionCode1
Generating images of rare concepts using pre-trained diffusion modelsCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
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