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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 3051–3100 of 9051 papers

TitleStatusHype
Multi-Modal Diffusion for Hand-Object Grasp GenerationCode0
Shear and transport in a flow environment determine spatial patterns and population dynamics in a model of nonlocal ecological competition—0
SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model—0
Memory-Optimized Once-For-All NetworkCode0
LLM-based multi-agent poetry generation in non-cooperative environmentsCode0
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment ClassificationCode0
MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor SegmentationCode0
Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling—0
Empirical evidence of Large Language Model's influence on human spoken communication—0
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting—0
SCOPE: Sign Language Contextual Processing with Embedding from LLMsCode0
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation—0
Enhancing Test Time Adaptation with Few-shot Guidance—0
A Framework for Synthetic Audio Conversations Generation using Large Language Models—0
A practical generalization metric for deep networks benchmarking—0
Imitating Language via Scalable Inverse Reinforcement Learning—0
Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach—0
MarsCode Agent: AI-native Automated Bug Fixing—0
Swarm Systems as a Platform for Open-Ended Evolutionary Dynamics—0
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion—0
Kullback-Leibler cluster entropy to quantify volatility correlation and risk diversity—0
An adaptative differential evolution with enhanced diversity and restart mechanismCode0
TSO: Self-Training with Scaled Preference Optimization—0
Data Augmentation for Image Classification using Generative AI—0
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation—0
LLMs Prompted for Graphs: Hallucinations and Generative Capabilities—0
Sparse Uncertainty-Informed Sampling from Federated Streaming DataCode0
Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning—0
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMsCode0
DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity—0
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling—0
PartFormer: Awakening Latent Diverse Representation from Vision Transformer for Object Re-Identification—0
MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning—0
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity—0
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections—0
Iterative Graph AlignmentCode0
Illuminating the Diversity-Fitness Trade-Off in Black-Box OptimizationCode0
Anchor-Controlled Generative Adversarial Network for High-Fidelity Electromagnetic and Structurally Diverse Metasurface Design—0
PDSR: A Privacy-Preserving Diversified Service Recommendation Method on Distributed Data—0
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology—0
Leveraging Open Knowledge for Advancing Task Expertise in Large Language ModelsCode0
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose—0
EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory—0
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its TeacherCode0
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty—0
DualSpeech: Enhancing Speaker-Fidelity and Text-Intelligibility Through Dual Classifier-Free Guidance—0
3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing—0
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems—0
Diversity and Multiplexing for Continuous Aperture Array (CAPA)-Based Communications—0
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation—0
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