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• The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training

  Hao Liu, Xinghua Jiang, Xin Li, Antai Guo, Yiqing Hu, Deqiang Jiang, Bo Ren

  1649-1656

  2023-06-26

• Unified Vision-Language Pre-Training for Image Captioning and VQA

  Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason Corso, Jianfeng Gao

  13041-13049

  2020-04-03

• HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition

  Jinpeng Zheng, Shao-Yuan Li, Gan Xu, Wenhai Wan, Zijian Tao, Songcan Chen, Kangkan Wang

  28821-28829

  2026-03-14

• Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation

  Chengyi Wang, Yu Wu, Shujie Liu, Zhenglu Yang, Ming Zhou

  9161-9168

  2020-04-03

• No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding

  Yanchang Fu, Shengda Liu, Pei Xu, Kaiqi Huang

  16906-16913

  2026-03-14

• PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

  Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu, Baining Guo

  552-560

  2023-06-26

• Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning

  Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang

  14619-14627

  2025-04-11

• A Denoising Pre-training Framework for Accelerating Novel Material Discovery

  Shuaike Shen, Ke Liu, Muzhi Zhu, Hao Chen

  28368-28376

  2025-04-11

• Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing

  Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li

  13076-13084

  2023-06-26

• Enabling Delayed-Full Charging Through Transformer-Based Real-Time-to-Departure Modeling for EV Battery Longevity

  Yonggeon Lee, Jibin Hwang, Alfred Malengo Kondoro, Juhyun Song, Youngtae Noh

  38835-38843

  2026-03-14

• ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting

  Yuke Li, Pin Wang, Lixiong Chen, Zheng Wang, Ching-Yao Chan

  1482-1490

  2022-06-28

• Forecasting Collector Road Speeds Under High Percentage of Missing Data

  Xin Xin, Chunwei Lu, Yashen Wang, Heyan Huang

  2015-02-18

• A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem

  Matthias Bentert, Robert Bredereck, Péter Györgyi, Andrzej Kaczmarczyk, Rolf Niedermeier

  11755-11763

  2021-05-18

• Learning Hybrid Dynamics Models with Simulator-Informed Latent States

  Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

  11892-11900

  2024-03-24

• STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

  Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun

  4830-4837

  2021-05-18

• Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations

  Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu

  7740-7747

  2023-06-26

• Neural Oscillators for Generalization of Physics-Informed Machine Learning

  Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Nunez, Rolf Dollevoet

  13059-13067

  2024-03-24

• Cellular Network Traffic Scheduling With Deep Reinforcement Learning

  Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti

  2018-04-25

• Online Semi-supervised Learning with Mix-Typed Streaming Features

  Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He

  4720-4728

  2023-06-26

• Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance

  Atsutoshi Kumagai, Tomoharu Iwata

  2017-02-13

• Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model

  Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang

  15906-15914

  2024-03-24

• A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

  Sikun Yang, Hongyuan Zha

  16343-16351

  2024-03-24

• Hierarchical Contrastive Learning for Temporal Point Processes

  Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu

  10166-10174

  2023-06-26

• Combining Slow and Fast: Complementary Filtering for Dynamics Learning

  Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe

  7476-7484

  2023-06-26

• Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks

  Yuhang Yao, Carlee Joe-Wong

  4608-4616

  2021-05-18