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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 6251–6300 of 9051 papers

TitleStatusHype
X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment—0
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese—0
XS-VID: An Extremely Small Video Object Detection Dataset—0
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents—0
YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection—0
Zero-Shot 4D Lidar Panoptic Segmentation—0
Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors—0
Zero-Shot Paraphrase Generation with Multilingual Language Models—0
Zonotope hit-and-run for efficient sampling from projection DPPs—0
Interactive Speech and Noise Modeling for Speech Enhancement—0
Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry?—0
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion—0
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting—0
Intermittent migration can induce pulses of speciation in a two-island system—0
Internal Feedback in Biological Control: Architectures and Examples—0
Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study—0
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation—0
Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition—0
Interpretable Diversity Analysis: Visualizing Feature Representations In Low-Cost Ensembles—0
Interpretable Learning Dynamics in Unsupervised Reinforcement Learning—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation—0
Interspeech 2025 URGENT Speech Enhancement Challenge—0
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations—0
Intra-Ensemble in Neural Networks—0
Intrinsic Image Captioning Evaluation—0
Intrinsic meaning, perception, and matching—0
Introducing Coherent MIMO Sensing, a fading-resilient, polarization-independent approach to phase-OTDR—0
Introducing MULAI: A Multimodal Database of Laughter during Dyadic Interactions—0
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets—0
Introducing the CLARIN Knowledge Centre for Linguistic Diversity and Language Documentation—0
Introducing the diagrammatic semiotic mode—0
Introduction of a novel word embedding approach based on technology labels extracted from patent data—0
Introduction to the Artificial Intelligence that can be applied to the Network Automation Journey—0
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning—0
Invasion and Interaction Determine Population Composition in an Open Evolving System—0
Inverse problems with experiment-guided AlphaFold—0
Graph Inverse Reinforcement Learning from Diverse Videos—0
Inverse Relationship Between Molecular Diversity And Resource Abundances—0
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension—0
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study—0
Investigating Shifts in GAN Output-Distributions—0
Investigating the effects Diversity Mechanisms have on Evolutionary Algorithms in Dynamic Environments—0
Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model—0
Investigating the Impact of Text Summarization on Topic Modeling—0
Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles—0
Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes—0
Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising—0
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN—0
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data—0
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