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• Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics

  Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun

  14575-14583

  2023-06-26

• Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract)

  Sehyun Ryu, Hosung Joo, Jonggyu Jang, Hyun Jong Yang

  23640-23641

  2024-03-24

• Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract)

  Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu

  16356-16357

  2024-07-15

• NeVAE: A Deep Generative Model for Molecular Graphs

  Bidisha Samanta, Abir DE, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez

  1110-1117

  2019-07-17

• Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach

  Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu

  2128-2135

  2020-04-03

• Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning

  Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian

  4924-4931

  2020-04-03

• RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation

  Shaoru Wang, Yongchao Gong, Junliang Xing, Lichao Huang, Chang Huang, Weiming Hu

  12208-12215

  2020-04-03

• LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games

  Leonard Adolphs, Thomas Hofmann

  7342-7349

  2020-04-03

• A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning

  Peirong Ma, Xiao Hu

  11733-11740

  2020-04-03

• Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning

  Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis

  26072-26080

  2026-03-14

• Deep Reinforcement Learning via Past-Success Directed Exploration

  Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang

  9979-9980

  2019-07-17

• Contributing Dimension Structure of Deep Feature for Coreset Selection

  Zhijing Wan, Zhixiang Wang, Yuran Wang, Zheng Wang, Hongyuan Zhu, Shin'ichi Satoh

  9080-9088

  2024-03-24

• Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression

  Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Bing-Kun Bao, Charles Ling, Boyu Wang

  19978-19985

  2025-04-11

• Deep Homography Estimation for Visual Place Recognition

  Feng Lu, Shuting Dong, Lijun Zhang, Bingxi Liu, Xiangyuan Lan, Dongmei Jiang, Chun Yuan

  10341-10349

  2024-03-24

• Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

  Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren

  10953-10961

  2024-03-24

• Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning

  Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram, PB Sujit

  11606-11614

  2024-03-24

• Modular Robot Design Synthesis with Deep Reinforcement Learning

  Julian Whitman, Raunaq Bhirangi, Matthew Travers, Howie Choset

  10418-10425

  2020-04-03

• Inverse Weight-Balancing for Deep Long-Tailed Learning

  Wenqi Dang, Zhou Yang, Weisheng Dong, Xin Li, Guangming Shi

  11713-11721

  2024-03-24

• Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning

  Jiawei Liu, Yuanbo Xu, Shanshan Song, Lu Jiang

  18843-18851

  2025-04-11

• Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

  Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang

  12947-12955

  2024-03-24

• Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation

  Li Ren, Chen Chen, Liqiang Wang, Kien Hua

  14811-14819

  2024-03-24

• Long-Term Fair Decision Making through Deep Generative Models

  Yaowei Hu, Yongkai Wu, Lu Zhang

  22114-22122

  2024-03-24

• Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference

  Mike Wu, Milan Mosse, Noah Goodman, Chris Piech

  782-790

  2019-07-17

• Mastering Complex Control in MOBA Games with Deep Reinforcement Learning

  Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang

  6672-6679

  2020-04-03

• Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data

  Mike Li, Elija Perrier, Chang Xu

  647-654

  2019-07-17