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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 7201–7250 of 9051 papers

TitleStatusHype
Data center top of rack switch to multiple spine switches optical wireless uplinks—0
Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA—0
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems—0
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness—0
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient—0
Data-dependent Gaussian Prior Objective for Language Generation—0
CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool—0
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing—0
Prague Dependency Treebank - Consolidated 1.0—0
Gamification Platform for Collecting Task-oriented Dialogue Data—0
Introducing MULAI: A Multimodal Database of Laughter during Dyadic Interactions—0
Cifu: a Frequency Lexicon of Hong Kong Cantonese—0
CPLM, a Parallel Corpus for Mexican Languages: Development and Interface—0
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation—0
Morphological Segmentation for Low Resource Languages—0
Out-of-the-Box and into the Ditch? Multilingual Evaluation of Generic Text Extraction Tools—0
Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers—0
Scaling Language Data Import/Export with a Data Transformer Interface—0
Phonemic Transcription of Low-Resource Languages: To What Extent can Preprocessing be Automated?—0
When Ensembling Smaller Models is More Efficient than Single Large Models—0
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation—0
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation—0
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution PerformanceCode1
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text GenerationCode1
Hybrid Adaptive Evolutionary Algorithm for Multi-objective Optimization—0
Informed Sampling for Diversity in Concept-to-Text NLG—0
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization—0
An Unsupervised Semantic Sentence Ranking Scheme for Text Documents—0
Meta-Learning for Few-Shot Land Cover Classification—0
Time Series Forecasting With Deep Learning: A Survey—0
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in HanabiCode0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
Evaluating Stochastic Rankings with Expected Exposure—0
Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control—0
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation—0
Single- and Multi-Objective Evolutionary Algorithms for the Knapsack Problem with Dynamically Changing Constraints—0
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains—0
New Protocols and Negative Results for Textual Entailment Data CollectionCode1
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts—0
Self-Organized Operational Neural Networks with Generative NeuronsCode1
Assessment of Practical Smart Gateway Diversity Based on Multi-Site Measurements in Q/V band—0
Multi-Objective Counterfactual ExplanationsCode1
Performance Analysis of Novel Direct Access Schemes for LEO Satellites Based IoT Network—0
Trading Off Diversity and Quality in Natural Language Generation—0
Yoga-82: A New Dataset for Fine-grained Classification of Human PosesCode0
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent—0
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation—0
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