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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 1251–1300 of 9051 papers

TitleStatusHype
Deep generative selection models of T and B cell receptor repertoires with soNNiaCode1
Deep Image Harmonization with Learnable AugmentationCode1
DeepHuman: 3D Human Reconstruction from a Single ImageCode1
LGD-GCN: Local and Global Disentangled Graph Convolutional NetworksCode1
Graph Neural PDE Solvers with Conservation and Similarity-EquivarianceCode1
grenedalf: population genetic statistics for the next generation of pool sequencingCode1
Deep Ordinal Regression with Label DiversityCode1
Lipschitz-constrained Unsupervised Skill DiscoveryCode1
GPT-FL: Generative Pre-trained Model-Assisted Federated LearningCode1
Data Curation Alone Can Stabilize In-context LearningCode1
GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection MethodCode1
Attracting and Dispersing: A Simple Approach for Source-free Domain AdaptationCode1
Goals as Reward-Producing ProgramsCode1
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive TestingCode1
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based CaptioningCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
A Diverse Corpus for Evaluating and Developing English Math Word Problem SolversCode1
G-Eval: NLG Evaluation using GPT-4 with Better Human AlignmentCode1
Graph Meta Network for Multi-Behavior RecommendationCode1
Deep Time Series Forecasting with Shape and Temporal CriteriaCode1
Griffin: Towards a Graph-Centric Relational Database Foundation ModelCode1
Can we use Common Voice to train a Multi-Speaker TTS system?Code1
De novo Drug Design using Reinforcement Learning with Multiple GPT AgentsCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource LanguagesCode1
BlendX: Complex Multi-Intent Detection with Blended PatternsCode1
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation FrameworkCode1
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill DiversificationCode1
GIQA: Generated Image Quality AssessmentCode1
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose EstimationCode1
Can LLMs Patch Security Issues?Code1
Determinantal Point Process Likelihoods for Sequential RecommendationCode1
Design of Chain-of-Thought in Math Problem SolvingCode1
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
Amortizing intractable inference in large language modelsCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
AutoMix: Automatically Mixing Language ModelsCode1
Automating Rigid Origami DesignCode1
Device-Robust Acoustic Scene Classification via Impulse Response AugmentationCode1
Can pre-trained models assist in dataset distillation?Code1
Towards Geospatial Foundation Models via Continual PretrainingCode1
Global Tensor Motion PlanningCode1
DGRec: Graph Neural Network for Recommendation with Diversified Embedding GenerationCode1
Harvesting Event Schemas from Large Language ModelsCode1
Can 3D Vision-Language Models Truly Understand Natural Language?Code1
Towards Evaluating Generalist Agents: An Automated Benchmark in Open WorldCode1
Boosting Human-Object Interaction Detection with Text-to-Image Diffusion ModelCode1
GenPlot: Increasing the Scale and Diversity of Chart Derendering DataCode1
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised LearningCode1
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