| 2022 | Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs. | Chengyin Hu, Yilong Wang, Kalibinuer Tiliwalidi, Wen Li |
| 2022 | 3D Manifold Topology Based Medical Image Data Augmentation. | Jisui Huang, Na Lei |
| 2022 | A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. | Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa |
| 2022 | SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. | Zhongyi Han, Wan Su, Rundong He, Yilong Yin |
| 2022 | Position-dependent partial convolutions for supervised spatial interpolation. | Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara |
| 2022 | BeautifAI - Personalised Occasion-based Makeup Recommendation. | Kshitij Gulati, Gaurav Verma, Mukesh K. Mohania, Ashish Kundu |
| 2022 | Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment Analysis. | Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu |
| 2022 | DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. | Vasilis Gkolemis, Theodore Dalamagas, Christos Diou |
| 2022 | Trusted Loss Correction for Noisy Multi-Label Learning. | Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen |
| 2022 | Multi Label Loss Correction against Missing and Corrupted Labels. | Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
| 2022 | Kernelized multi-graph matching. | Franois-Xavier Dup, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart |
| 2022 | BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. | Zhijie Deng, Jun Zhu |
| 2022 | A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation. | Shaochang Deng, Mengxiao Yin, Feng Yang |
| 2022 | Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. | Zongyu Dai, Zhiqi Bu, Qi Long |
| 2022 | Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. | Sayak Ray Chowdhury, Rafael Oliveira |
| 2022 | Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. | You-Lin Chen, Zhiqiang Xu, Ping Li |
| 2022 | Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility. | Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen |
| 2022 | On the Convergence of Decentralized Adaptive Gradient Methods. | Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li |
| 2022 | Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention. | Jian Cheng, Yang-Feng Hu, Yu Dai, Xue Qiao, Li Yao, Jun-Yan Yang |
| 2022 | ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. | Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra |
| 2022 | A two-stream convolution architecture for ESC based on audio feature distanglement. | Zhenghao Chang, Ruhan He, Yongsheng Yu, Zili Zhang, Geli Bai |
| 2022 | Robust Scene Text Detection via Learnable Scene Transformations. | Yuheng Cao, Mengjie Zhou, Jie Chen |
| 2022 | Fairness Trade-Offs and Partial Debiasing. | Francois Buet-Golfouse, Islam Utyagulov |
| 2022 | Robust Multi-Objective Reinforcement Learning with Dynamic Preferences. | Francois Buet-Golfouse, Parth Pahwa |
| 2022 | Graph annotation generative adversarial networks. | Yoann Boget, Magda Gregorova, Alexandros Kalousis |