Methods
1,990 papers (3 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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27
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48
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73
85
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Papers (including subtopics)
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
ICML 2025
A cultural shift in Western perceptions of Palestine
COLING 2025
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
IJCAI 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
AAAI 2025
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting
IJCAI 2025
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
IJCAI 2025
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
IJCAI 2025
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting
AAAI 2025
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
ICML 2025
AGM-TE: Approximate Generative Model Estimator of Transfer Entropy for Causal Discovery
CLeaR 2025
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension
IJCAI 2025
A Lightweight Sparse Interaction Network for Time Series Forecasting
AAAI 2025
Aligning Time-series by Local Trends: Applications in Public Health
AAAI 2025
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
ICML 2025
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
AAAI 2025
A Multi-Task Learning Approach to Linear Multivariate Forecasting
AISTATS 2025
A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
UAI 2025
Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
ICML 2025
A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
ICML 2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
AAAI 2025
A Position Paper on the Automatic Generation of Machine Learning Leaderboards
EMNLP 2025
A Practical Approach to Causal Inference over Time
AAAI 2025
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
ICML 2025
Assessing Critical Thinking Components in Romanian Secondary School Textbooks: A Data Mining Approach to the ROTEX Corpus
ACL 2025
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Case Study of Supplementary Adverbs
NAACL 2025