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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 2451–2475 of 9051 papers

TitleStatusHype
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning—0
Segmentation-based Extraction of Key Components from ECG Images: A Framework for Precise Classification and Digitization—0
A Review of the Marathi Natural Language Processing—0
Adversarial Robustness through Dynamic Ensemble Learning—0
The First Multilingual Model For The Detection of Suicide Texts—0
Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles—0
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation—0
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningCode0
Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation—0
Fast inverse lithography based on a model-driven block stacking convolutional neural network—0
The impact of behavioral diversity in multi-agent reinforcement learning—0
Active Inference and Human--Computer Interaction—0
LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps—0
Moving Beyond LDA: A Comparison of Unsupervised Topic Modelling Techniques for Qualitative Data Analysis of Online Communities—0
Progressive Multimodal Reasoning via Active Retrieval—0
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning—0
A Unifying Information-theoretic Perspective on Evaluating Generative Models—0
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island CoevolutionCode0
Uncertainty Awareness in Wireless Communications and Sensing—0
Generating Diverse Hypotheses for Inductive Reasoning—0
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model—0
Embedding Cultural Diversity in Prototype-based Recommender Systems—0
Inferring protein folding mechanisms from natural sequence diversity—0
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation—0
Data-driven Discovery of Biophysical T Cell Receptor Co-specificity Rules—0
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