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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 11011150 of 9051 papers

TitleStatusHype
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill DiversityCode1
TIML: Task-Informed Meta-Learning for AgricultureCode1
Lipschitz-constrained Unsupervised Skill DiscoveryCode1
CIC: Contrastive Intrinsic Control for Unsupervised Skill DiscoveryCode1
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of GarmentsCode1
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement LearningCode1
Variational Neural Cellular AutomataCode1
Any-Play: An Intrinsic Augmentation for Zero-Shot CoordinationCode1
You Only Cut Once: Boosting Data Augmentation with a Single CutCode1
Variational Model Inversion AttacksCode1
Towards Objective Metrics for Procedurally Generated Video Game LevelsCode1
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationCode1
Tailor Versatile Multi-modal Learning for Multi-label Emotion RecognitionCode1
Realistic Full-Body Anonymization with Surface-Guided GANsCode1
To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object DetectorsCode1
Image Disentanglement Autoencoder for Steganography Without EmbeddingCode1
Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon ColorizationCode1
Exploring Effective Data for Surrogate Training Towards Black-Box AttackCode1
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose TrackingCode1
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video RecognitionCode1
Maximum Entropy Population-Based Training for Zero-Shot Human-AI CoordinationCode1
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion GenerationCode1
Tackling the Generative Learning Trilemma with Denoising Diffusion GANsCode1
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed ClassificationCode1
Text Classification Models for Form Entity LinkingCode1
An Informative Tracking BenchmarkCode1
Learning Semantic-Aligned Feature Representation for Text-based Person SearchCode1
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary DetectionCode1
Adversarial Parametric Pose PriorCode1
HIVE: Evaluating the Human Interpretability of Visual ExplanationsCode1
NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationCode1
Make It Move: Controllable Image-to-Video Generation with Text DescriptionsCode1
Texture Reformer: Towards Fast and Universal Interactive Texture TransferCode1
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware CriterionCode1
Controllable Video Captioning with an Exemplar SentenceCode1
Generating Diverse 3D Reconstructions from a Single Occluded Face ImageCode1
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and FusionCode1
Profiling Pareto Front With Multi-Objective Stein Variational Gradient DescentCode1
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum GamesCode1
Few-shot Image Generation with Mixup-based Distance LearningCode1
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive LearningCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
Scalable Diverse Model Selection for Accessible Transfer LearningCode1
AlphaGarden: Learning to Autonomously Tend a Polyculture GardenCode1
Towards Active Vision for Action Localization with Reactive Control and Predictive LearningCode1
Functional connectivity ensemble method to enhance BCI performance (FUCONE)Code1
Qimera: Data-free Quantization with Synthetic Boundary Supporting SamplesCode1
Improving Contrastive Learning on Imbalanced Seed Data via Open-World SamplingCode1
PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and ClassificationCode1
The chemical space of terpenes: insights from data science and AICode1
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