SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1601–1650 of 9051 papers

TitleStatusHype
Adaptive Agent Architecture for Real-time Human-Agent Teaming—0
AlphaStar: An Evolutionary Computation Perspective—0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis—0
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling—0
Autoencoder-based General Purpose Representation Learning for Customer Embedding—0
CTR-Guided Generative Query Suggestion in Conversational Search—0
CtrTab: Tabular Data Synthesis with High-Dimensional and Limited Data—0
Autoencoder-Based Framework to Capture Vocabulary Quality in NLP—0
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs—0
Autocompletion interfaces make crowd workers slower, but their use promotes response diversity—0
Autocatalytic Sets and RNA Secondary Structure—0
Autobots@LT-EDI-EACL2021: One World, One Family: Hope Speech Detection with BERT Transformer Model—0
AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment—0
A User-Centered Investigation of Personal Music Tours—0
CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool—0
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models—0
CT-SGAN: Computed Tomography Synthesis GAN—0
A Universal Sets-level Optimization Framework for Next Set Recommendation—0
A universally consistent learning rule with a universally monotone error—0
A Universality-Individuality Integration Model for Dialog Act Classification—0
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules—0
A Low Complexity Space-Frequency Multiuser Scheduling Algorithm—0
Adapting ELM to Time Series Classification: A Novel Diversified Top-k Shapelets Extraction Method—0
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels—0
A Unifying Information-theoretic Perspective on Evaluating Generative Models—0
A local continuum model of cell-cell adhesion—0
A unified view of generative models for networks: models, methods, opportunities, and challenges—0
A Load Balanced Recommendation Approach—0
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model—0
Accelerated Image-Aware Generative Diffusion Modeling—0
cs_english@LT-EDI-EACL2021: Hope Speech Detection Based On Fine-tuning ALBERT Model—0
A Unified Statistical Model for Atmospheric Turbulence-Induced Fading in Orbital Angular Momentum Multiplexed FSO Systems—0
All You Need Is Sex for Diversity—0
A Unified Multi-Faceted Video Summarization System—0
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages—0
A unified framework based on graph consensus term for multi-view learning—0
Allowing for equal opportunities for artists in music recommendation—0
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling—0
AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring—0
Accelerated DC loadflow solver for topology optimization—0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability—0
CTSyn: A Foundational Model for Cross Tabular Data Generation—0
Augmenting Zero-Shot Detection Training with Image Labels—0
Accelerate & Actualize: Can 2D Materials Bridge the Gap Between Neuromorphic Hardware and the Human Brain?—0
Augmenting Radio Signals with Wavelet Transform for Deep Learning-Based Modulation Recognition—0
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers—0
Adaptation Method for Misinformation Identification—0
Crowdsourcing the Perception of Machine Teaching—0
Augmenting medical image classifiers with synthetic data from latent diffusion models—0
Show:102550
← PrevPage 33 of 182Next →

No leaderboard results yet.