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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 401–450 of 9051 papers

TitleStatusHype
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
Bacteriophage classification for assembled contigs using Graph Convolutional NetworkCode1
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionCode1
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal TransferCode1
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game EncodingCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
AARGH! End-to-end Retrieval-Generation for Task-Oriented DialogCode1
A Bayesian Flow Network Framework for Chemistry TasksCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion PredictionCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
De novo Drug Design using Reinforcement Learning with Multiple GPT AgentsCode1
A View From Somewhere: Human-Centric Face RepresentationsCode1
DGRec: Graph Neural Network for Recommendation with Diversified Embedding GenerationCode1
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker DetectionCode1
AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive ScenariosCode1
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response GenerationCode1
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of ModelsCode1
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific DeltaCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
Differentiable Quality DiversityCode1
DELT: A Simple Diversity-driven EarlyLate Training for Dataset DistillationCode1
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based CaptioningCode1
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient SpaceCode1
Agree to Disagree: Diversity through Disagreement for Better TransferabilityCode1
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand PoseCode1
Deep Sketch-Based Modeling: Tips and TricksCode1
Calliar: An Online Handwritten Dataset for Arabic CalligraphyCode1
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human ProgrammersCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
Deep Time Series Forecasting with Shape and Temporal CriteriaCode1
Automating Rigid Origami DesignCode1
Synth-Empathy: Towards High-Quality Synthetic Empathy DataCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Diffusion Reward: Learning Rewards via Conditional Video DiffusionCode1
DiffWave: A Versatile Diffusion Model for Audio SynthesisCode1
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech EnhancementCode1
Active learning for medical image segmentation with stochastic batchesCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text GenerationCode1
DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text GenerationCode1
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identificationCode1
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problemCode1
Biological Sequence Design with GFlowNetsCode1
Bilingual Mutual Information Based Adaptive Training for Neural Machine TranslationCode1
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale AmbiguitiesCode1
AutoMix: Automatically Mixing Language ModelsCode1
Benchmarking Algorithms for Federated Domain GeneralizationCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
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