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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 1951–2000 of 9051 papers

TitleStatusHype
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning—0
Cross-Lingual Transfer of Cultural Knowledge: An Asymmetric Phenomenon—0
Market Design with Distributional Objectives—0
Cross-modal Face- and Voice-style Transfer—0
Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation—0
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation—0
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech—0
Detail-Preserving Latent Diffusion for Stable Shadow Removal—0
Conformity bias in the cultural transmission of music sampling traditions—0
Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks—0
Augmented Data Science: Towards Industrialization and Democratization of Data Science—0
Crowded trades, market clustering, and price instability—0
Assessing fish abundance from underwater video using deep neural networks—0
ConfigTron: Tackling network diversity with heterogeneous configurations—0
Augmented Message Passing Stein Variational Gradient Descent—0
Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots—0
Assessing Distractors in Multiple-Choice Tests—0
A blindspot of AI ethics: anti-fragility in statistical prediction—0
Crowdsourcing Multiple Choice Science Questions—0
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform—0
Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers—0
Crowdsourcing the Perception of Machine Teaching—0
Crowdsourcing with Fairness, Diversity and Budget Constraints—0
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis—0
Confidence-Guided Semi-supervised Learning in Land Cover Classification—0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
cs_english@LT-EDI-EACL2021: Hope Speech Detection Based On Fine-tuning ALBERT Model—0
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability—0
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout—0
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models—0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis—0
CTR-Guided Generative Query Suggestion in Conversational Search—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Condorcet's Jury Theorem for Consensus Clustering and its Implications for Diversity—0
Condition-Transforming Variational AutoEncoder for Conversation Response Generation—0
ASR4REAL: An extended benchmark for speech models—0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation—0
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution—0
A unified framework based on graph consensus term for multi-view learning—0
Cuid: A new study of perceived image quality and its subjective assessment—0
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions—0
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network—0
Designing a Robust Radiology Report Generation System—0
Cultivating DNN Diversity for Large Scale Video Labelling—0
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation—0
Semantic and Expressive Variation in Image Captions Across Languages—0
A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning—0
Cultural Diversity and Its Impact on Governance—0
Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory—0
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration—0
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