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• Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation

  Yiting Wu, Min Zhang

  11674-11681

  2021-05-18

• SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations

  Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo

  16032-16039

  2024-03-24

• AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors

  Hao Shi, Weili Song, Xinting Zhang, Jiahe Shi, Cuicui Luo, Xiang Ao, Hamid Arian, Luis Angel Seco

  12524-12532

  2025-04-11

• Knowledge Enhanced Hybrid Neural Network for Text Matching

  Yu Wu, Wei Wu, Can Xu, Zhoujun Li

  2018-04-27

• Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective

  Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun

  10551-10559

  2021-05-18

• Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis

  Li Dong, Furu Wei, Ming Zhou, Ke Xu

  2014-06-21

• Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning

  Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma

  16926-16934

  2024-03-24

• A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract)

  Nicholas Halliwell, Fabien Gandon, Freddy Lecue

  12963-12964

  2022-06-28

• MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract)

  Jie Liu, Lingyun Song, Li Gao, Xuequn Shang

  13005-13006

  2022-06-28

• Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation

  Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David Doermann

  8344-8351

  2019-07-17

• DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy

  Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng

  6358-6366

  2022-06-28

• Joint Learning of Evolving Links for Dynamic Network Embedding

  Aakas Zhiyuli, Xun Liang, YanFang Chen, Peng Shu, Xiaoping Zhou

  2018-04-29

• Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

  Junbo Zhang, Yu Zheng, Dekang Qi

  2017-02-12

• Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

  Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu

  492-502

  2024-03-25

• An Artificial Agent for Robust Image Registration

  Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu

  2017-02-12

• VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning

  Sannyuya Liu, Jintian Feng, Xiaoxuan Shen, Shengyingjie Liu, Qian Wan, Jianwen Sun

  24650-24658

  2025-04-11

• Gated Neural Networks for Targeted Sentiment Analysis

  Meishan Zhang, Yue Zhang, Duy-Tin Vo

  2016-03-05

• Topological Machine Learning Methods for Power System Responses to Contingencies

  Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel

  15262-15269

  2021-05-18

• Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks

  Hongfei Du, Emre Barut, Fang Jin

  12078-12085

  2021-05-18

• Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks

  Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung

  6794-6802

  2021-05-18

• Exploiting Invariance in Training Deep Neural Networks

  Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov

  8849-8856

  2022-06-28

• On the Depth of Deep Neural Networks: A Theoretical View

  Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu

  2016-03-02

• Authorship Attribution Using a Neural Network Language Model

  Zhenhao Ge, Yufang Sun, Mark Smith

  2016-03-05

• MR-NET: Exploiting Mutual Relation for Visual Relationship Detection

  Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen

  8110-8117

  2019-07-17

• Deep Learning for Algorithm Portfolios

  Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay Saraswat

  2016-02-21