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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 6351–6400 of 9051 papers

TitleStatusHype
Evaluating Fairness in Argument RetrievalCode0
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations—0
A universally consistent learning rule with a universally monotone error—0
Is News Recommendation a Sequential Recommendation Task?—0
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model—0
Region-level Active Detector Learning—0
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition—0
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies—0
On the Diversity and Limits of Human Explanations—0
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model—0
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts—0
An Investigation of the (In)effectiveness of Counterfactually Augmented Data—0
Modulating Language Models with Emotions—0
A comparative study of universal quantum computing models: towards a physical unification—0
Data Efficient Human Intention Prediction: Leveraging Neural Network Verification and Expert Guidance—0
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy—0
Open Problems in Human Trait Genetics—0
Deep Active Learning for Text Classification with Diverse Interpretations—0
Channel State Acquisition in Uplink NOMA for Cellular-Connected UAV: Exploitation of Doppler and Modulation Diversities—0
High-dimensional Assisted Generative Model for Color Image RestorationCode0
MINT -- Mainstream and Independent News Text CorpusCode0
Conditional Temporal Variational AutoEncoder for Action Video Prediction—0
How Computer Science Can Aid Forest Restoration—0
Generating Diverse Descriptions from Semantic GraphsCode0
Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation—0
Diversity-aware Web APIs Recommendation with Compatibility Guarantee—0
High Quality Related Search Query Suggestions using Deep Reinforcement Learning—0
IntenT5: Search Result Diversification using Causal Language Models—0
Language Model Evaluation in Open-ended Text Generation—0
Identification of Play Styles in Universal Fighting Engine—0
DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation—0
A Categorized Reflection Removal Dataset with Diverse Real-world Scenes—0
Auxiliary Class Based Multiple Choice Learning—0
A Generalized Space-Frequency Index Modulation Scheme for Downlink MIMO Transmissions with Improved Diversity—0
Real-Time Visual Analysis of High-Volume Social Media Posts—0
VinaFood21: A Novel Dataset for Evaluating Vietnamese Food RecognitionCode0
Itinerary-aware Personalized Deep Matching at Fliggy—0
Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks—0
A Global Nucleic Acid Observatory for Biodefense and Planetary Health—0
Alleviating Mode Collapse in GAN via Diversity Penalty Module—0
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis—0
Local Diversity and Ultra-Reliable Antenna Arrays—0
Spike timing regularity in vestibular afferent neurons: How ionic currents influence sensory encoding mechanisms—0
System Description for the CommonGen task with the POINTER model—0
ARBERT \& MARBERT: Deep Bidirectional Transformers for ArabicCode0
DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection—0
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation—0
Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content—0
EnsLM: Ensemble Language Model for Data Diversity by Semantic ClusteringCode0
Data Augmentation with Adversarial Training for Cross-Lingual NLI—0
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