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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 901–950 of 9051 papers

TitleStatusHype
Distributed speech separation in spatially unconstrained microphone arraysCode1
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identificationCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior InferenceCode1
Bias Loss for Mobile Neural NetworksCode1
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity MaximizationCode1
Bilingual Mutual Information Based Adaptive Training for Neural Machine TranslationCode1
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing ConstraintsCode1
Exploring Empty Spaces: Human-in-the-Loop Data AugmentationCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic SegmentationCode1
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsCode1
Diverse Cotraining Makes Strong Semi-Supervised SegmentorCode1
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline GenerationCode1
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataCode1
Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksCode1
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary SpaceCode1
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal AnchorsCode1
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active ExplorationCode1
Biological Sequence Design with GFlowNetsCode1
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Exploring Design of Multi-Agent LLM Dialogues for Research IdeationCode1
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech EnhancementCode1
Adding Seemingly Uninformative Labels Helps in Low Data RegimesCode1
MambaPupil: Bidirectional Selective Recurrent model for Event-based Eye trackingCode1
Parameterized Synthetic Text Generation with SimpleStoriesCode1
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process PriorsCode1
A Temporal Variational Model for Story GenerationCode1
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different DatasetsCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Mask Conditional Synthetic Satellite ImageryCode1
Diversified Adversarial Attacks based on Conjugate Gradient MethodCode1
Exploring Effective Data for Surrogate Training Towards Black-Box AttackCode1
Diversify and Conquer: Diversity-Centric Data Selection with Iterative RefinementCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
A Large-scale Universal Evaluation Benchmark For Face Forgery DetectionCode1
Diversifying Dialog Generation via Adaptive Label SmoothingCode1
Maximum Entropy Population-Based Training for Zero-Shot Human-AI CoordinationCode1
MC^2: Towards Transparent and Culturally-Aware NLP for Minority Languages in ChinaCode1
Explain Me the Painting: Multi-Topic Knowledgeable Art Description GenerationCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Exclusive Hierarchical Decoding for Deep Keyphrase GenerationCode1
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros StudyCode1
Explicit Syntactic Guidance for Neural Text GenerationCode1
EvolGAN: Evolutionary Generative Adversarial NetworksCode1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
Everyone Deserves A Reward: Learning Customized Human PreferencesCode1
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