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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 1001–1050 of 9051 papers

TitleStatusHype
Online Damage Recovery for Physical Robots with Hierarchical Quality-DiversityCode1
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster MemoryCode1
When and how CNNs generalize to out-of-distribution category-viewpoint combinationsCode1
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation ParadigmCode1
AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationCode1
On the Embedding Collapse when Scaling up Recommendation ModelsCode1
Cross-Domain Feature Augmentation for Domain GeneralizationCode1
CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and OptimizationCode1
AlphaFold Distillation for Protein DesignCode1
Cross-Covariate Gait Recognition: A BenchmarkCode1
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised SegmentationCode1
Covariance Matrix Adaptation for the Rapid Illumination of Behavior SpaceCode1
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data FusionCode1
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon PredictionCode1
AlphaGarden: Learning to Autonomously Tend a Polyculture GardenCode1
Optimal Kernel Orchestration for Tensor Programs with KorchCode1
Optimized Custom Dataset for Efficient Detection of Underwater TrashCode1
Optimizing Hierarchical Image VAEs for Sample QualityCode1
Biological Sequence Design with GFlowNetsCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context DemonstrationsCode1
Diversity can be Transferred: Output Diversification for White- and Black-box AttacksCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion GenerationCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Controllable Video Captioning with an Exemplar SentenceCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
Controllable Group Choreography using Contrastive DiffusionCode1
Analysis of diversity-accuracy tradeoff in image captioningCode1
Controllable Multi-Interest Framework for RecommendationCode1
DebateQA: Evaluating Question Answering on Debatable KnowledgeCode1
Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency DetectionCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
Controllable Open-ended Question Generation with A New Question Type OntologyCode1
Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata EcosystemsCode1
CrowdHuman: A Benchmark for Detecting Human in a CrowdCode1
Contrastive Losses Are Natural Criteria for Unsupervised Video SummarizationCode1
Contrastive Identity-Aware Learning for Multi-Agent Value DecompositionCode1
Contrastive Model Inversion for Data-Free Knowledge DistillationCode1
Continual Object Detection via Prototypical Task Correlation Guided Gating MechanismCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Continual Variational Autoencoder Learning via Online Cooperative MemorizationCode1
Contrastive Quantization with Code Memory for Unsupervised Image RetrievalCode1
Content-aware Tile Generation using Exterior Boundary InpaintingCode1
Context-Transformer: Tackling Object Confusion for Few-Shot DetectionCode1
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