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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

Showing 47014750 of 9051 papers

TitleStatusHype
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning0
Interactive Image Selection and Training for Brain Tumor Segmentation Network0
Interactive Mars Image Content-Based Search with Interpretable Machine Learning0
Towards a computational model of grammaticalization and lexical diversity0
Interactive Speech and Noise Modeling for Speech Enhancement0
Active Learning for Object Detection with Non-Redundant Informative Sampling0
Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry?0
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion0
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting0
Intermittent migration can induce pulses of speciation in a two-island system0
Internal Feedback in Biological Control: Architectures and Examples0
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition0
Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study0
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation0
Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition0
Interpretable Diversity Analysis: Visualizing Feature Representations In Low-Cost Ensembles0
Interpretable Learning Dynamics in Unsupervised Reinforcement Learning0
Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generation0
Interpretable Visual Question Answering Referring to Outside Knowledge0
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning0
Interspeech 2025 URGENT Speech Enhancement Challenge0
Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge0
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations0
Intra-Ensemble in Neural Networks0
Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data0
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving0
Intrinsic Image Captioning Evaluation0
Intrinsic meaning, perception, and matching0
Introducing Coherent MIMO Sensing, a fading-resilient, polarization-independent approach to phase-OTDR0
Introducing MULAI: A Multimodal Database of Laughter during Dyadic Interactions0
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets0
Introducing the CLARIN Knowledge Centre for Linguistic Diversity and Language Documentation0
Introducing the diagrammatic semiotic mode0
Introduction of a novel word embedding approach based on technology labels extracted from patent data0
Introduction to the Artificial Intelligence that can be applied to the Network Automation Journey0
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning0
Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations0
Invasion and Interaction Determine Population Composition in an Open Evolving System0
Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making0
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation0
Inverse problems with experiment-guided AlphaFold0
Graph Inverse Reinforcement Learning from Diverse Videos0
Inverse Relationship Between Molecular Diversity And Resource Abundances0
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension0
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study0
Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Go0
Towards A Generalist Code Embedding Model Based On Massive Data Synthesis0
Investigating Shifts in GAN Output-Distributions0
Investigating the effects Diversity Mechanisms have on Evolutionary Algorithms in Dynamic Environments0
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