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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 2551–2600 of 9051 papers

TitleStatusHype
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMsCode0
Benchmarking the Fairness of Image Upsampling MethodsCode0
From Local to Global: Navigating Linguistic Diversity in the African ContextCode0
Dialogue Quality and Emotion Annotations for Customer Support ConversationsCode0
BLESS: Benchmarking Large Language Models on Sentence SimplificationCode0
From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual MatchingCode0
From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market ForecastingCode0
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial RobustnessCode0
DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party DialogueCode0
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language RepresentationCode0
Frequency Tracking Features for Data-Efficient Deep Siren IdentificationCode0
Learning Diverse Options via InfoMax Termination CriticCode0
A diversity-enhanced genetic algorithm for efficient exploration of parameter spacesCode0
From characters to words: the turning point of BPE mergesCode0
DI2: prior-free and multi-item discretization ofbiomedical data and its applicationsCode0
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple ExpertsCode0
dhSegment: A generic deep-learning approach for document segmentationCode0
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic HiringCode0
DGSAN: Discrete Generative Self-Adversarial NetworkCode0
Benchmarking Linguistic Diversity of Large Language ModelsCode0
Benchmarking Large Language Model Uncertainty for Prompt OptimizationCode0
From Distributional to Overton Pluralism: Investigating Large Language Model AlignmentCode0
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?Code0
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence PairsCode0
Adder Attention for Vision TransformerCode0
Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtypingCode0
BOLD5000: A public fMRI dataset of 5000 imagesCode0
Increasing diversity of omni-directional images generated from single image using cGAN based on MLPMixerCode0
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through OptionsCode0
Indian Regional Movie Dataset for Recommender SystemsCode0
DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM PerformanceCode0
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic ManuscriptsCode0
Flow-Grounded Spatial-Temporal Video Prediction from Still ImagesCode0
Analyzing Uncertainty in Neural Machine TranslationCode0
Influence Maximization in Hypergraphs using Multi-Objective Evolutionary AlgorithmsCode0
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine ModelCode0
Flickr-PAD: New Face High-Resolution Presentation Attack Detection DatabaseCode0
Flexible Modeling of Diversity with Strongly Log-Concave DistributionsCode0
Boosting Deep Ensemble Performance with Hierarchical PruningCode0
Information-Theoretic Active Learning for Content-Based Image RetrievalCode0
Benchmarking and Improving Text-to-SQL Generation under AmbiguityCode0
Developing parsimonious ensembles using predictor diversity within a reinforcement learning frameworkCode0
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity MetricsCode0
Diverse Plausible Shape Completions from Ambiguous Depth ImagesCode0
Diverse Policies Converge in Reward-free Markov Decision ProcesseCode0
First U-Net Layers Contain More Domain Specific Information Than The Last OnesCode0
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and FlatnessCode0
Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field SamplingCode0
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target ImputationCode0
Analyzing the Habitable Zones of Circumbinary Planets Using Machine LearningCode0
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