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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 3776–3800 of 9051 papers

TitleStatusHype
Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting—0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation—0
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion—0
TWOLAR: a TWO-step LLM-Augmented distillation method for passage RerankingCode0
Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis—0
ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness—0
Solution for Emotion Prediction Competition of Workshop on Emotionally and Culturally Intelligent AI—0
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification—0
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation—0
Multi-Objective Quality-Diversity for Crystal Structure PredictionCode0
Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts—0
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models—0
Response of Different Tomato Accessions to Biotic and Abiotic Stresses—0
Convergence analysis of OT-Flow for sample generation—0
Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions—0
Argument Quality Assessment in the Age of Instruction-Following Large Language Models—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble—0
EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance DetectionCode0
Phylogenetic diversity indices from an affine and projective viewpoint—0
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion—0
SceneX: Procedural Controllable Large-scale Scene Generation—0
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)—0
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems—0
Universal Cold RNA Phase Transitions—0
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