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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 951–1000 of 9051 papers

TitleStatusHype
Few-shot Image Generation via Cross-domain CorrespondenceCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
Diversity is All You Need: Learning Skills without a Reward FunctionCode1
Attributed Graph Clustering with Dual Redundancy ReductionCode1
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using SamplesCode1
Attribute Group Editing for Reliable Few-shot Image GenerationCode1
Monte Carlo Policy Gradient Method for Binary OptimizationCode1
Diversity-Measurable Anomaly DetectionCode1
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video RecognitionCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
Domain-specific ChatBots for Science using EmbeddingsCode1
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
Adding Seemingly Uninformative Labels Helps in Low Data RegimesCode1
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-IDCode1
DLow: Diversifying Latent Flows for Diverse Human Motion PredictionCode1
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksCode1
DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arraysCode1
Domain-Smoothing Network for Zero-Shot Sketch-Based Image RetrievalCode1
Multimodal Multi-objective Optimization: Comparative Study of the State-of-the-ArtCode1
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical ImagingCode1
Domain Randomization for Sim2real Transfer of Automatically Generated Grasping DatasetsCode1
Aligning Language Models with Preferences through f-divergence MinimizationCode1
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive LearningCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
Aligning Latent and Image Spaces to Connect the UnconnectableCode1
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolutionCode1
MultiRocket: Multiple pooling operators and transformations for fast and effective time series classificationCode1
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain AdaptationCode1
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement LearningCode1
Adaptable Agent Populations via a Generative Model of PoliciesCode1
Multi-Task Reinforcement Learning with Mixture of Orthogonal ExpertsCode1
FastGrasp: Efficient Grasp Synthesis with DiffusionCode1
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
Biological Sequence Design with GFlowNetsCode1
DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language ModelsCode1
Bilingual Mutual Information Based Adaptive Training for Neural Machine TranslationCode1
DreamDA: Generative Data Augmentation with Diffusion ModelsCode1
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
Neural Ensemble Search for Uncertainty Estimation and Dataset ShiftCode1
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language ModelsCode1
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task GenerationCode1
DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI DataCode1
Dual Feature Augmentation Network for Generalized Zero-shot LearningCode1
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-Tree Complex Wavelet Representation and Contradict Channel LossCode1
Learning a Cross-modality Anomaly Detector for Remote Sensing ImageryCode1
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving PlannersCode1
FALL-E: A Foley Sound Synthesis Model and StrategiesCode1
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMsCode1
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANsCode1
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