Yang Sun, Abhishek Kolagunda, Steven Eliuk, Xiaolong Wang

Keywords Abstract Paper

label noise, label uncertainty, learning with noisy labels

Yi Shi, Mengchen Xu, Shuaihang Yuan, Yi Fang

Keywords Abstract Paper

3d shape descriptor, 3d shape recognition, unsupervised learning of shape representation, 3d point distribution

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu

Keywords Abstract Paper

Linglan Zhao, Dashan Guo, Yunlu Xu and

Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Xiangzhong Fang

Keywords Abstract Paper

few-shot learning, meta-learning, incremental learning, semi-supervised learning

Junnan Li, Richard Socher, Steven C.H. Hoi

Keywords Abstract Paper

label noise, semi-supervised learning

Guang Zhao, Edward Dougherty, Byung-Jun Yoon and

Francis Alexander, Xiaoning Qian

Keywords Abstract Paper

optimization, machine learning, kernel methods, active learning

Junwen Bai, Weiran Wang, Carla Gomes

Keywords Abstract Paper

self-supervised learning, generative model, contrastive learning, representation learning, interpretability

Qinxuan Luo, Lingfeng Wang, Jingguo Lv and

Shiming Xiang, Chunhong Pan

Keywords Abstract Paper

Tongxin Wang, Zhengming Ding, Wei Shao and

Haixu Tang, Kun Huang

Keywords Abstract Paper

Amr Mohamed Alexandari, Anshul Kundaje, Avanti Shrikumar

Keywords Abstract Paper

Trustworthy Machine Learning

Jun Wang, Shaoguo Wen, Jianghua Yu and

Kaixing Chen, Xin Zhou, Peng Gao, Guotong Xie, Changsheng Li

Keywords Abstract Paper

instance segmentation, active learning, semi-supervised learning, medical images

Sana Tonekaboni, Danny Eytan, Anna Goldenberg

Keywords Abstract Paper

Chaoqi Yang, Cao Xiao, Fenglong Ma and

Lucas Glass, Jimeng Sun

Keywords Abstract Paper

Multidisciplinary Topics and Applications, Biology and Medicine, Applications of Supervised Learning, Bio/Medicine

Shitala Prasad, Yiqun Li, Dongyun Lin, Dong Sheng

Keywords Abstract Paper

Ge Liu, Linglan Zhao, Wei Li and

Dashan Guo, Xiangzhong Fang

Keywords Abstract Paper

Yachao Zhang, Zonghao Li, Yuan Xie and

Yanyun Qu, Cuihua Li, Tao Mei

Keywords Abstract Paper

Ankit Raj, Yoram Bresler, Bo Li

Keywords Abstract Paper

Trustworthy Machine Learning

Qingsong Wen, Liang Sun, Fan Yang and

Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu

Keywords Abstract Paper

Machine learning, General, General, General

Joseph D. Janizek, Gabriel Erion, Alex J. DeGrave, Su-In Lee

Keywords Abstract Paper

Applied computing, Life and medical sciences, Computing methodologies, Machine learning, Machine learning approaches, Learning latent representations, Neural networks

Shaoqi Li, Wenfeng Song, Shuai Li and

Aimin Hao, Hong Qin

Keywords Abstract Paper

Few shot, object detection, meta-learning, Meta-RetinaNet, Balanced Loss, coefficient vector

Mi Luo, Fei Chen, Dapeng Hu and

Yifan Zhang, Jian Liang, Jiashi Feng

Keywords Abstract Paper

optimization, machine learning, federated learning

Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik Johansson

Keywords Abstract Paper

Algorithms -> Online Learning, Reinforcement Learning and Planning -> Reinforcement Learning

Saurabh Garg, Sivaraman Balakrishnan, Zico Kolter, Zachary Lipton

Keywords Abstract Paper

Probabilistic Methods, Graphical Models, Theory, Computational Complexity, Theory, Models of Learning and Generalization

Weishi Shi, Qi Yu

Keywords Abstract Paper

Maggie Makar, Fredrik Johansson, John Guttag, David Sontag

Keywords Abstract Paper

Causality

Aiham Taleb, Winfried Loetzsch, Noel Danz and

Julius Severin, Thomas Gaertner, Benjamin Bergner, Christoph Lippert

Keywords Abstract Paper

Yuliang Zou, Zizhao Zhang, Han Zhang and

Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister

Keywords Abstract Paper

semantic-segmentation, semi-supervised, pseudo-labeling

Sara Sangalli, Ertunc Erdil, Andeas Hötker and

Olivio Donati, Ender Konukoglu

Keywords Abstract Paper

deep learning, optimization, machine learning

Kristy Choi, Aditya Grover, Trisha Singh and

Rui Shu, Stefano Ermon

Keywords Abstract Paper

Deep Learning - Generative Models and Autoencoders

Adam Ivankay, Ivan Girardi, Chiara Marchiori, Pascal Frossard

Keywords Abstract Paper

robustness, attribution robustness, adversarial attacks, explainability, attribution maps

Yao Yao, Chen Gong, Jiehui Deng, Jian Yang

Keywords Abstract Paper

weakly-supervised learning, partial label learning, progressive disambiguation, network cooperation

Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso

Keywords Abstract Paper

Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li

Keywords Abstract Paper

Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum and

Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl

Keywords Abstract Paper

Alon Jacovi, Gang Niu, Yoav Goldberg, Masashi Sugiyama

Keywords Abstract Paper

Weijia Wu, Ning Lu, Enze Xie and

Yuxing Wang, Wenwen Yu, Cheng Yang, Hong Zhou

Keywords Abstract Paper

Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang

Keywords Abstract Paper

deep learning, domain adaptation, causality, language

Ye Zheng, Ruoran Huang, Chuanqi Han and

Xi Huang, Li Cui

Keywords Abstract Paper

Awais Muhammad, Fengwei Zhou, Chuanlong Xie and

Jiawei Li, Sung-Ho Bae, Zhenguo Li

Keywords Abstract Paper

deep learning, optimization, robustness, adversarial robustness and security

Xibin Song, Yuchao Dai, Dingfu Zhou and

Liu Liu, Wei Li, Hongdong Li, Ruigang Yang

Keywords Abstract Paper

depth, super-resolution, channel attention, residual learning