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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 3001–3050 of 9051 papers

TitleStatusHype
Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation—0
VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors—0
Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science—0
Benchmarking Large Language Model Uncertainty for Prompt OptimizationCode0
Visualizing Temporal Topic Embeddings with a Compass—0
Quantile Regression for Distributional Reward Models in RLHFCode0
Abnormal Event Detection In Videos Using Deep Embedding—0
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through f-divergence Minimization—0
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data—0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models—0
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?—0
A Compressive Memory-based Retrieval Approach for Event Argument Extraction—0
Towards Diverse and Efficient Audio Captioning via Diffusion Models—0
LawDNet: Enhanced Audio-Driven Lip Synthesis via Local Affine Warping DeformationCode0
Multi-intent Aware Contrastive Learning for Sequential Recommendation—0
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control—0
Frequency Tracking Features for Data-Efficient Deep Siren IdentificationCode0
Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity—0
Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speech—0
Polarforming for Wireless Communications: Modeling and Performance Analysis—0
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series—0
An Evaluation Framework for Attributed Information Retrieval using Large Language ModelsCode0
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator—0
A Novel Mathematical Framework for Objective Characterization of Ideas—0
ICDAR 2024 Competition on Few-Shot and Many-Shot Layout Segmentation of Ancient Manuscripts (SAM)—0
When More Data Hurts: Optimizing Data Coverage While Mitigating Diversity Induced Underfitting in an Ultra-Fast Machine-Learned Potential—0
Diversity-Driven View Subset Selection for Indoor Novel View SynthesisCode0
DiffTED: One-shot Audio-driven TED Talk Video Generation with Diffusion-based Co-speech Gestures—0
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model—0
HybridFC: A Hybrid Fact-Checking Approach for Knowledge GraphsCode0
Advancing Topic Segmentation of Broadcasted Speech with Multilingual Semantic EmbeddingsCode0
Automated Data Augmentation for Few-Shot Time Series Forecasting: A Reinforcement Learning Approach Guided by a Model Zoo—0
Table-to-Text Generation with Pretrained Diffusion Models—0
Human Motion Synthesis_ A Diffusion Approach for Motion Stitching and In-Betweening—0
Prim2Room: Layout-Controllable Room Mesh Generation from Primitives—0
UPCS: Unbiased Persona Construction for Dialogue Generation—0
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models—0
LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow—0
Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations—0
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object DetectionCode0
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct—0
Algorithmic Scenario Generation as Quality Diversity Optimization—0
Fine-Grained Representation Learning via Multi-Level Contrastive Learning without Class PriorsCode0
Leveraging LLMs for Influence Path Planning in Proactive Recommendation—0
Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak—0
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection—0
Multi-Modal Diffusion for Hand-Object Grasp GenerationCode0
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
A high-accuracy multi-model mixing retrosynthetic method—0
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