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Found 11828 items.

Revisiting CAD Model Generation by Learning Raster Sketch

Pu Li, Wenhao Zhang, Jianwei Guo, Jinglu Chen, Dong-Ming Yan

4869-4877

2025-04-11
DIANet: Dense-and-Implicit Attention Network

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

4206-4214

2020-04-03
Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling

Chaitanya Ahuja, Louis-Philippe Morency

2018-04-27
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning

Max Staats, Matthias Thamm, Bernd Rosenow

7006-7014

2025-04-11
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification

Ardhendu Behera, Zachary Wharton, Pradeep R P G Hewage, Asish Bera

929-937

2021-05-18
A Unified Multi-Scenario Attacking Network for Visual Object Tracking

Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi

1097-1104

2021-05-18
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation

Minsu Kim, Sunghun Joung, Seungryong Kim, JungIn Park, Ig-Jae Kim, Kwanghoon Sohn

1799-1807

2021-05-18
Submodular Span, with Applications to Conditional Data Summarization

Lilly Kumari, Jeff Bilmes

12344-12352

2021-05-18
Spatial Graph Attention Network Modeling for Neighborhood-Scale Lead Contamination Risk Prediction Using Publicly Available Data

Raphael Anaadumba, Nazim A.Belabbaci, Connor Sullivan, Anton Kovalev, Yidong Zhu, Pradeep Kurup, Mohammad Arif Ul Alam

40193-40201

2026-03-14
Playing Lottery Tickets with Vision and Language

Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu

652-660

2022-06-28
Latent Multi-Task Architecture Learning

Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard

4822-4829

2019-07-17
Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction

Bin Deng, Huifang Ma, Ruijia Zhang, Meihuizi Jia, Rui Bing

202-210

2026-03-14
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise

Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang

4819-4827

2020-04-03
Learning Regularization for Graph Inverse Problems

Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad Haber

16471-16479

2025-04-11
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples

Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun

872-880

2023-06-26
Improved Knowledge Distillation via Teacher Assistant

Seyed Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh

5191-5198

2020-04-03
WAT: Improve the Worst-Class Robustness in Adversarial Training

Boqi Li, Weiwei Liu

14982-14990

2023-06-26
Sparse Adversarial Perturbations for Videos

Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su

8973-8980

2019-07-17
Proximal Distilled Evolutionary Reinforcement Learning

Cristian Bodnar, Ben Day, Pietro Lió

3283-3290

2020-04-03
KPNet: Towards Minimal Face Detector

Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan

12015-12022

2020-04-03
Adversarial Training Reduces Information and Improves Transferability

Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto

2674-2682

2021-05-18
Learning Signed Network Embedding via Graph Attention

Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang

4772-4779

2020-04-03
Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method

Zhiyuan Yu, Mingkai Lin, Wenzhong Li, Zhangyue Yin, Shijian Xiao, Sanglu Lu

28005-28013

2026-03-14
SMLE: Safe Machine Learning via Embedded Overapproximation

Matteo Francobaldi, Michele Lombardi

27286-27294

2025-04-11
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud

Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, Hongil Yoon

1240-1249

2023-06-26

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