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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 4201–4225 of 9051 papers

TitleStatusHype
Discovery data topology with the closure structure. Theoretical and practical aspects—0
Discovering Unsupervised Behaviours from Full-State Trajectories—0
Bias and Diversity in Synthetic-based Face Recognition—0
IMIL: Interactive Medical Image Learning Framework—0
Imitating Language via Scalable Inverse Reinforcement Learning—0
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration—0
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization—0
Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
Discovering Patterns of Definitions and Methods from Scientific Documents—0
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards—0
A Closer Look at Few-shot Image Generation—0
IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications—0
Discovering Generalizable Skills via Automated Generation of Diverse Tasks—0
Discovering Evolutionary Stepping Stones through Behavior Domination—0
Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages—0
Discovering Diverse Nearly Optimal Policies with Successor Features—0
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks—0
3D-Aware Indoor Scene Synthesis with Depth Priors—0
Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncoders—0
Impact of Corpus Diversity and Complexity on NER Performance—0
Imperialist Competitive Algorithm with Independence and Constrained Assimilation for Solving 0-1 Multidimensional Knapsack Problem—0
Discovering Diverse Athletic Jumping Strategies—0
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition—0
Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generation—0
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