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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 3751–3800 of 9051 papers

TitleStatusHype
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimalityCode0
Hallucination Diversity-Aware Active Learning for Text Summarization—0
Intelligent Reflecting Surfaces assisted Laser-based Optical Wireless Communication Networks—0
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning—0
Diffusion Deepfake—0
Voice EHR: Introducing Multimodal Audio Data for Health—0
GI-Free Pilot-Aided Channel Estimation for Affine Frequency Division Multiplexing Systems—0
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations—0
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
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
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models—0
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control—0
Instruction-based Hypergraph Pretraining—0
Echo-chambers and Idea Labs: Communication Styles on Twitter—0
Uncertainty-Aware Deep Video Compression with Ensembles—0
Towards Multimodal Video Paragraph Captioning Models Robust to Missing ModalityCode0
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users—0
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP—0
PLOT-TAL -- Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization—0
Since the Scientific Literature Is Multilingual, Our Models Should Be Too—0
SteinGen: Generating Fidelitous and Diverse Graph SamplesCode0
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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