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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 3476–3500 of 9051 papers

TitleStatusHype
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN—0
Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection—0
A DAFT Based Unified Waveform Design Framework for High-Mobility Communications—0
I4VGen: Image as Free Stepping Stone for Text-to-Video Generation—0
WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?—0
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization—0
Generating Synthetic Net Load Data with Physics-informed Diffusion Model—0
OpenDataLab: Empowering General Artificial Intelligence with Open Datasets—0
Less is More: Pseudo-Label Filtering for Continual Test-Time AdaptationCode0
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering—0
Layout Agnostic Scene Text Image Synthesis with Diffusion Models—0
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization FunctionCode0
Insect Diversity Estimation in Polarimetric Lidar—0
Automatic Fused Multimodal Deep Learning for Plant IdentificationCode0
Lasso Bandit with Compatibility Condition on Optimal Arm—0
Multipath Exploitation for Fluctuating Target Detection in RIS-Assisted ISAC Systems—0
Image Captioning via Dynamic Path CustomizationCode0
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
Cyclic image generation using chaotic dynamicsCode0
Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark—0
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification—0
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging—0
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning—0
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling—0
Achieving Distributed MIMO Performance with Repeater-Assisted Cellular Massive MIMO—0
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