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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 1251–1275 of 9051 papers

TitleStatusHype
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series ForecastingCode1
Frequency Domain Model Augmentation for Adversarial AttackCode1
Amortizing intractable inference in large language modelsCode1
Bilingual Mutual Information Based Adaptive Training for Neural Machine TranslationCode1
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain RemovalCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
Biological Sequence Design with GFlowNetsCode1
Controllable Group Choreography using Contrastive DiffusionCode1
AutoMix: Automatically Mixing Language ModelsCode1
Automating Rigid Origami DesignCode1
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text GenerationCode1
Controllable Multi-Interest Framework for RecommendationCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
A Diverse Corpus for Evaluating and Developing English Math Word Problem SolversCode1
CrowdHuman: A Benchmark for Detecting Human in a CrowdCode1
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design ApplicationsCode1
Generating Diverse 3D Reconstructions from a Single Occluded Face ImageCode1
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIVCode1
Continual Variational Autoencoder Learning via Online Cooperative MemorizationCode1
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiersCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
Continual Object Detection via Prototypical Task Correlation Guided Gating MechanismCode1
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