Applications
3,265 papers (28 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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18
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39
49
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80
122
172
269
311
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314
454
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68
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Papers (including subtopics)
User-Creator Feature Polarization in Recommender Systems with Dual Influence
NeurIPS 2024
Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis
EACL 2024
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media
EMNLP 2024
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
NeurIPS 2024
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
ICML 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance
NeurIPS 2024
Variationist: Exploring Multifaceted Variation and Bias in Written Language Data
ACL 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
AISTATS 2024
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models
ACL 2024
Visual Language – Let the Product Say What You Want
AAAI 2024
VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation
AAAI 2024
VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States
IJCAI 2024
WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics
NeurIPS 2024
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
EMNLP 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
XRec: Large Language Models for Explainable Recommendation
EMNLP 2024
Your Career Path Matters in Person-Job Fit
AAAI 2024
2D-Shapley: A Framework for Fragmented Data Valuation
ICML 2023
ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract)
AAAI 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
ICML 2023
Adaptive Clustering Using Kernel Density Estimators
JMLR 2023
Adaptive Data Depth via Multi-Armed Bandits
JMLR 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
AAAI 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
NeurIPS 2023
A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors
AAAI 2023