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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 2551–2600 of 9051 papers

TitleStatusHype
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes—0
On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative ComprehensionCode0
On the Scalability of Diffusion-based Text-to-Image Generation—0
Corpus Considerations for Annotator Modeling and ScalingCode0
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning—0
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimalityCode0
Intelligent Reflecting Surfaces assisted Laser-based Optical Wireless Communication Networks—0
Diffusion Deepfake—0
Voice EHR: Introducing Multimodal Audio Data for Health—0
WcDT: World-centric Diffusion Transformer for Traffic Scene GenerationCode1
GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image—0
Hallucination Diversity-Aware Active Learning for Text Summarization—0
Guide to k-mer approaches for genomics across the tree of lifeCode2
GI-Free Pilot-Aided Channel Estimation for Affine Frequency Division Multiplexing Systems—0
Bridging Remote Sensors with Multisensor Geospatial Foundation ModelsCode2
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations—0
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language ModelCode1
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented DiffusionCode2
Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation—0
A Simple Yet Effective Approach for Diversified Session-Based RecommendationCode0
A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweetsCode1
Rationale-based Opinion SummarizationCode0
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
Advancing the Arabic WordNet: Elevating Content Quality—0
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics—0
Instruction-based Hypergraph Pretraining—0
Enhance Image Classification via Inter-Class Image Mixup with Diffusion ModelCode1
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models—0
Echo-chambers and Idea Labs: Communication Styles on Twitter—0
Uncertainty-Aware Deep Video Compression with Ensembles—0
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control—0
Towards Multimodal Video Paragraph Captioning Models Robust to Missing ModalityCode0
PLOT-TAL -- Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization—0
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP—0
SteinGen: Generating Fidelitous and Diverse Graph SamplesCode0
HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object InteractionsCode1
Since the Scientific Literature Is Multilingual, Our Models Should Be Too—0
BlendX: Complex Multi-Intent Detection with Blended PatternsCode1
Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting—0
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users—0
ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness—0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation—0
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification—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
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait AnimationCode9
Solution for Emotion Prediction Competition of Workshop on Emotionally and Culturally Intelligent AI—0
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion—0
Multi-Objective Quality-Diversity for Crystal Structure PredictionCode0
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