mlsanityData to 7 Oct 2026

Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization

arXiv 1907.01011 ↗First posted 1 Jul 2019cs.LG cs.CL stat.MLcited by 30

Not on the map. Why?

Abstract (arXiv)

There has been an increased interest in multimodal language processing including multimodal dialog, question answering, sentiment analysis, and speech recognition. However, naturally occurring multimodal data is often imperfect as a result of imperfect modalities, missing entries or noise corruption. To address these concerns, we present a regularization method based on tensor rank minimization. Our method is based on the observation that high-dimensional multimodal time series data often exhibit correlations across time and modalities which leads to low-rank tensor representations. However, the presence of noise or incomplete values breaks these correlations and results in tensor representations of higher rank. We design a model to learn such tensor representations and effectively regularize their rank. Experiments on multimodal language data show that our model achieves good results across various levels of imperfection.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 9; 2023: 6; 2024: 4; 2025: 4; 2026: 5.

30 papers.

Sort:

By area:

  1. 2021MultiBench: Multiscale Benchmarks for Multimodal Representation Learningcited by 143
  2. 2022Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questionscited by 116
  3. 2024Deep Multimodal Learning with Missing Modality: A Surveycited by 89
  4. 2022GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversationcited by 86
  5. 2023Quantifying & Modeling Multimodal Interactions: An Information Decomposition Frameworkcited by 81
  6. 2022Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representationscited by 48
  7. 2021Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributionscited by 39
  8. 2022M-SENA: An Integrated Platform for Multimodal Sentiment Analysiscited by 21
  9. 2022Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysiscited by 20
  10. 2023Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applicationscited by 20
  11. 2023Multimodal Fusion Interactions: A Study of Human and Automatic Quantificationcited by 9
  12. 2025MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Seriescited by 9
18 more
  1. 2022MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequencescited by 8
  2. 2022Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errorscited by 7
  3. 2022Brainish: Formalizing A Multimodal Language for Intelligence and Consciousnesscited by 4
  4. 2023MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learningcited by 4
  5. 2024CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chartcited by 4
  6. 2025Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributionscited by 4
  7. 2023Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inferencecited by 3
  8. 2024Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysiscited by 2
  9. 2022Curriculum Learning Meets Weakly Supervised Modality Correlation Learningcited by 1
  10. 2023Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion Recognitioncited by 1
  11. 2025Uncertainty-Aware Collaborative System of Large and Small Models for Multimodal Sentiment Analysiscited by 1
  12. 2026REMIND: Rethinking Medical High-Modality Learning under Missingness--A Long-Tailed Distribution Perspectivecited by 1
  13. 2026Addressing Missing and Noisy Modalities in One Solution: Unified Modality-Quality Framework for Low-quality Multimodal Datacited by 1
  14. 2026Head-wise Modality Specialization within MLLMs for Robust Fake News Detection under Missing Modalitycited by 1
  15. 2024Collaborative Position Reasoning Network for Referring Image Segmentationcited by 0
  16. 2025ADMC: Attention-based Diffusion Model for Missing Modalities Feature Completioncited by 0
  17. 2026GRCF: Two-Stage Groupwise Ranking and Calibration Framework for Multimodal Sentiment Analysiscited by 0
  18. 2026Reliability-aware Cross-sample Enhancement for Robust Multimodal Sentiment Analysiscited by 0