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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 451–475 of 9051 papers

TitleStatusHype
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process PriorsCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
BoostTree and BoostForest for Ensemble LearningCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataCode1
Bootstrapping Referring Multi-Object TrackingCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Active Teacher for Semi-Supervised Object DetectionCode1
Diversity-Aware Meta Visual PromptingCode1
Parameterized Synthetic Text Generation with SimpleStoriesCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
Building a Conversational Agent Overnight with Dialogue Self-PlayCode1
Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin TonesCode1
A Large-Scale Database for Graph Representation LearningCode1
A Large-Scale Study on Video Action Dataset CondensationCode1
DGRec: Graph Neural Network for Recommendation with Diversified Embedding GenerationCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source DataCode1
Calliar: An Online Handwritten Dataset for Arabic CalligraphyCode1
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI ReconstructionCode1
C^2: Scalable Auto-Feedback for LLM-based Chart GenerationCode1
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
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