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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 601–650 of 9051 papers

TitleStatusHype
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive LearningCode1
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement LearningCode1
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking TasksCode1
Effect of latent space distribution on the segmentation of images with multiple annotationsCode1
Evaluating the Evaluation of Diversity in Natural Language GenerationCode1
Diversity Enhanced Active Learning with Strictly Proper Scoring RulesCode1
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human ProgrammersCode1
Diversity-Guided MLP Reduction for Efficient Large Vision TransformersCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
Diversity-Guided Multi-Objective Bayesian Optimization With Batch EvaluationsCode1
Diversify and Conquer: Diversity-Centric Data Selection with Iterative RefinementCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph ExpertsCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Benchmarking Algorithms for Federated Domain GeneralizationCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural NetworksCode1
Diversified Adversarial Attacks based on Conjugate Gradient MethodCode1
Diversifying Dialog Generation via Adaptive Label SmoothingCode1
Diversity is All You Need: Learning Skills without a Reward FunctionCode1
Diverse Image Generation via Self-Conditioned GANsCode1
Diverse Image Captioning with Context-Object Split Latent SpacesCode1
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process PriorsCode1
Diverse Video Generation using a Gaussian Process TriggerCode1
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Diversified Batch Selection for Training AccelerationCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of ModelsCode1
A Closer Look at Machine Unlearning for Large Language ModelsCode1
BenthicNet: A global compilation of seafloor images for deep learning applicationsCode1
A Diverse Corpus for Evaluating and Developing English Math Word Problem SolversCode1
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary SpaceCode1
Diverse Policy Optimization for Structured Action SpaceCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
Diversity-Aware Meta Visual PromptingCode1
Diversity-based Trajectory and Goal Selection with Hindsight Experience ReplayCode1
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet SpaceCode1
Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksCode1
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion PredictionCode1
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech EnhancementCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
Bias Loss for Mobile Neural NetworksCode1
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
Bilingual Mutual Information Based Adaptive Training for Neural Machine TranslationCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
Biological Sequence Design with GFlowNetsCode1
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language ModelsCode1
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