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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
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
Continual Variational Autoencoder Learning via Online Cooperative MemorizationCode1
Difficulty-Aware Simulator for Open Set RecognitionCode1
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose EstimationCode1
Towards Diverse and Faithful One-shot Adaption of Generative Adversarial NetworksCode1
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANsCode1
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary SpaceCode1
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text GenerationCode1
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy OptimizationCode1
Frequency Domain Model Augmentation for Adversarial AttackCode1
Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-ArtCode1
Interaction Pattern Disentangling for Multi-Agent Reinforcement LearningCode1
Accelerating Score-based Generative Models with Preconditioned Diffusion SamplingCode1
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular GenerationCode1
ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022Code1
Forecasting Future World Events with Neural NetworksCode1
Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video FramesCode1
Siamese Contrastive Embedding Network for Compositional Zero-Shot LearningCode1
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational ReasoningCode1
VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph CaptioningCode1
Diversified Adversarial Attacks based on Conjugate Gradient MethodCode1
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized ImagesCode1
Personalized Federated Learning via Variational Bayesian InferenceCode1
Improving Diversity with Adversarially Learned Transformations for Domain GeneralizationCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Real-World Image Super-Resolution by Exclusionary Dual-LearningCode1
Tackling covariate shift with node-based Bayesian neural networksCode1
Revealing the Dark Secrets of Masked Image ModelingCode1
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data AugmentationCode1
Rethinking Fano's Inequality in Ensemble LearningCode1
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language ModelsCode1
KERPLE: Kernelized Relative Positional Embedding for Length ExtrapolationCode1
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic SegmentationCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with TreemapsCode1
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language UnderstandingCode1
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and MetricsCode1
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue DatabaseCode1
Attracting and Dispersing: A Simple Approach for Source-free Domain AdaptationCode1
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-SpeechCode1
Continual Object Detection via Prototypical Task Correlation Guided Gating MechanismCode1
Seed-Guided Topic Discovery with Out-of-Vocabulary SeedsCode1
RU-Net: Regularized Unrolling Network for Scene Graph GenerationCode1
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense InferenceCode1
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive LearningCode1
User-controllable Recommendation Against Filter BubblesCode1
Where in the World is this Image? Transformer-based Geo-localization in the WildCode1
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response GenerationCode1
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