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• Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation

  Yutong Liu, Haijiang Zhu, Mengting Liu, Huaiyuan Yu, Zihan Chen, Jie Gao

  3819-3827

  2024-03-24

• Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations

  Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

  26859-26867

  2025-04-11

• A Lightweight Sparse Interaction Network for Time Series Forecasting

  Xu Zhang, Qitong Wang, Peng Wang, Wei Wang

  13304-13312

  2025-04-11

• Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting

  Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas

  7394-7403

  2021-05-18

• MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting

  Hu Zhang, Zhien Dai, Zhaohui Tang, Yongfang Xie

  28221-28229

  2026-03-14

• CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets

  Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang

  3145-3154

  2023-06-26

• Online Sequence Alignment for Real-Time Audio Transcription by Non-Experts

  Walter Lasecki, Christopher Miller, Donato Borrello, Jeffrey Bigham

  2437-2438

  2021-09-20

• DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract)

  Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou

  16382-16383

  2024-07-15

• Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization

  Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ryan Rapp, Sam Nazari, Patrick McGrath, Cory Schoolland, Elyas Achkar, Myles Brundage, Jeremy Miller, Jonathan Epstein, Gurmeet Lamba

  2018-04-27

• Multivariate Gaussian Representation Learning for Medical Action Evaluation

  Luming Yang, Haoxian Liu, Siqing Li, Alper Yilmaz

  39513-39521

  2026-03-14

• Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting

  Kohei Miyaguchi, Hiroshi Kajino

  4594-4601

  2019-07-17

• Unlocking the Power of LSTM for Long Term Time Series Forecasting

  Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen

  11968-11976

  2025-04-11

• Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models

  Zhengguang Wang

  23768-23770

  2024-03-24

• Black-Box Adversarial Attack on Time Series Classification

  Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang

  7358-7368

  2023-06-26

• ARIA: Asymmetry Resistant Instance Alignment

  Sanghoon Lee, Seung-won Hwang

  2014-06-19

• SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment

  Maurício Gruppi, Sibel Adalı, Pin-Yu Chen

  13170-13172

  2022-06-28

• Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation

  Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia

  2429-2437

  2025-04-11

• Context-Aware Diffusion for Telemetry Time Series with Permutation-Stable Feature Modeling (Student Abstract)

  Giovanni B. Esposito, Daniele Cesarini, Andrea Bartolini

  41206-41208

  2026-03-14

• Systematically Exploring Associations among Multivariate Data

  Lifeng Zhang

  6786-6794

  2020-04-03

• Towards Safe Semi-Supervised Learning for Multivariate Performance Measures

  Yu-Feng Li, James Kwok, Zhi-Hua Zhou

  2016-02-21

• PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model

  Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou

  12200-12207

  2022-06-28

• Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract)

  Ashlesha Akella, Sai Kalyan Ranga Singanamalla, Chin-Teng Lin

  15749-15750

  2021-05-18

• Self-Reinforced Cascaded Regression for Face Alignment

  Xin Fan, Risheng Liu, Kang Huyan, Yuyao Feng, Zhongxuan Luo

  2018-04-27

• Mapping Users across Networks by Manifold Alignment on Hypergraph

  Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen

  2014-06-19

• Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model

  Tianxing Wu, Guilin Qi, Haofen Wang, Kang Xu, Xuan Cui

  2016-02-21