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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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