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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 7301–7350 of 9051 papers

TitleStatusHype
Reducing Overlearning through Disentangled Representations by Suppressing Unknown TasksCode0
Batch Decorrelation for Active Metric LearningCode0
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits—0
A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima—0
Spatial Information Considered Network for Scene ClassificationCode0
The NTNU System at the Interspeech 2020 Non-Native Children's Speech ASR Challenge—0
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks—0
Decision Fusion in Space-Time Spreading aided Distributed MIMO WSNs—0
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search—0
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study—0
Towards Hate Speech Detection at Large via Deep Generative ModelingCode0
Progressive growing of self-organized hierarchical representations for exploration—0
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification—0
Introducing Coherent MIMO Sensing, a fading-resilient, polarization-independent approach to phase-OTDR—0
PSDet: Efficient and Universal Parking Slot DetectionCode0
Non-Orthogonal Multiple Access in the Presence of Additive Generalized Gaussian Noise—0
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks—0
Diversifying Dialogue Generation with Non-Conversational TextCode0
BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search—0
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices—0
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification—0
Token Manipulation Generative Adversarial Network for Text GenerationCode0
Attentive Semantic Exploring for Manipulated Face Detection—0
Evaluating text coherence based on the graph of the consistency of phrases to identify symptoms of schizophrenia—0
AIBench Scenario: Scenario-distilling AI Benchmarking—0
NOMA Visible Light Communication System with Angle Diversity Receivers—0
Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural ArchitecturesCode0
Impact of user distribution on optical wireless systems—0
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation—0
A New Data Normalization Method to Improve Dialogue Generation by Minimizing Long Tail Effect—0
Distributional Discrepancy: A Metric for Unconditional Text GenerationCode0
Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA—0
Data center top of rack switch to multiple spine switches optical wireless uplinks—0
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems—0
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness—0
Gamification Platform for Collecting Task-oriented Dialogue Data—0
Introducing MULAI: A Multimodal Database of Laughter during Dyadic Interactions—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers—0
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation—0
Out-of-the-Box and into the Ditch? Multilingual Evaluation of Generic Text Extraction Tools—0
Scaling Language Data Import/Export with a Data Transformer Interface—0
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing—0
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation—0
Morphological Segmentation for Low Resource Languages—0
CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool—0
When Ensembling Smaller Models is More Efficient than Single Large Models—0
Cifu: a Frequency Lexicon of Hong Kong Cantonese—0
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation—0
Prague Dependency Treebank - Consolidated 1.0—0
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