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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 1051–1100 of 9051 papers

TitleStatusHype
Calliar: An Online Handwritten Dataset for Arabic CalligraphyCode1
ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid MotionsCode1
G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine TranslationCode1
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text GenerationCode1
Building a Conversational Agent Overnight with Dialogue Self-PlayCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model BiasCode1
GAN-based generative modelling for dermatological applications -- comparative studyCode1
GenAug: Data Augmentation for Finetuning Text GeneratorsCode1
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsCode1
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text GenerationCode1
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain RemovalCode1
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level AlignmentCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
BoostTree and BoostForest for Ensemble LearningCode1
FS6D: Few-Shot 6D Pose Estimation of Novel ObjectsCode1
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption GenerationCode1
Boosting Human-Object Interaction Detection with Text-to-Image Diffusion ModelCode1
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal TransferCode1
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph LanguagesCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
Forcing Diffuse Distributions out of Language ModelsCode1
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series ForecastingCode1
Functional connectivity ensemble method to enhance BCI performance (FUCONE)Code1
GenDexGrasp: Generalizable Dexterous GraspingCode1
Generative Flow Network for Listwise RecommendationCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
A Multimodal In-Context Tuning Approach for E-Commerce Product Description GenerationCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time seriesCode1
BlendX: Complex Multi-Intent Detection with Blended PatternsCode1
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide GenerationCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
Florence-2: Advancing a Unified Representation for a Variety of Vision TasksCode1
Bacteriophage classification for assembled contigs using Graph Convolutional NetworkCode1
Fine-Grained VR Sketching: Dataset and InsightsCode1
CamContextI2V: Context-aware Controllable Video GenerationCode1
Forecasting Future World Events with Neural NetworksCode1
Fork or Fail: Cycle-Consistent Training with Many-to-One MappingsCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
FineRec:Exploring Fine-grained Sequential RecommendationCode1
Bilingual Mutual Information Based Adaptive Training for Neural Machine TranslationCode1
Fractal Autoencoders for Feature SelectionCode1
Adaptively Sparse TransformersCode1
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionCode1
Frequency Domain Model Augmentation for Adversarial AttackCode1
Bootstrapping Referring Multi-Object TrackingCode1
Biological Sequence Design with GFlowNetsCode1
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical ImageryCode1
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