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Methods

1,990 papers (3 classified directly here)

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Papers (including subtopics)

Regularization-free Diffeomorphic Temporal Alignment Nets ICML 2023 Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark NeurIPS 2023 Relational Debugging --- Pinpointing Root Causes of Performance Problems OSDI 2023 Renku: a platform for sustainable data science NeurIPS 2023 Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective NeurIPS 2023 Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise ICLR 2023 Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops AISTATS 2023 SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise NeurIPS 2023 Scalable and Effective Conductance-Based Graph Clustering AAAI 2023 Scalable Spatiotemporal Graph Neural Networks AAAI 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023 Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning IJCAI 2023 Sequential Monte Carlo Learning for Time Series Structure Discovery ICML 2023 Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series ICML 2023 Sequential Predictive Conformal Inference for Time Series ICML 2023 SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion Submission Description: Sequence Labelling for G2P ACL 2023 SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NeurIPS 2023 Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion ACL 2023 SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies AAAI 2023 SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting IJCAI 2023 SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series ICML 2023 Sparse Markov Models for High-dimensional Inference JMLR 2023 Spatio-Temporal Meta-Graph Learning for Traffic Forecasting AAAI 2023 Speech Breathing Behavior During Pauses in Children Interspeech 2023 Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere ICML 2023