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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

Showing 301325 of 9051 papers

TitleStatusHype
DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationCode2
Large Scale Radio Frequency Signal ClassificationCode2
DALNet: A Rail Detection Network Based on Dynamic Anchor LineCode1
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance ScalingCode1
Dance with You: The Diversity Controllable Dancer Generation via Diffusion ModelsCode1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
Adapting Precomputed Features for Efficient Graph CondensationCode1
Dan: Deep attention neural network for news recommendationCode1
dacl10k: Benchmark for Semantic Bridge Damage SegmentationCode1
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data PruningCode1
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving PlannersCode1
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task GenerationCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphCode1
CrowdHuman: A Benchmark for Detecting Human in a CrowdCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
Adaptable Agent Populations via a Generative Model of PoliciesCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video RecognitionCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
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