Masashi Sugiyama
- Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
2018/04/18 by Bo Han, Quanming Yao, Han, Bo +13 · 63 citations
Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Positive-Unlabeled Learning with Non-Negative Risk Estimator
2017/03/02 by Ryuichi Kiryo, Kiryo, Ryuichi, Gang Niu +5 · 33 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
- How does Disagreement Help Generalization against Label Corruption?
2019/01/14 by Xingrui Yu, Yu, Xingrui, Bo Han +9 · 35 citations
Computer Science · #Machine Learning and Data Classification #Imbalanced Data Classification Techniques #Machine Learning and Algorithms
- Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
2018/02/12 by Yusuke Tsuzuku, Issei Sato, Tsuzuku, Yusuke +3 · 21 citations
Physics and Astronomy · #Model Reduction and Neural Networks
- Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting
2012/06/18 by Ning Xie, Hirotaka Hachiya, Masashi Sugiyama · 1 voice · 4 citations
Computer Science · Engineering · Neuroscience · #3D Shape Modeling and Analysis #Aesthetic Perception and Analysis #Computer Graphics and Visualization Techniques #cs.GR #cs.LG #stat.ML
- High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
2013/10/08 by Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal +2 · 8 citations
Computer Science · Mathematics · #Face and Expression Recognition #Machine Learning and Data Classification #Statistical Methods and Inference
- Are Anchor Points Really Indispensable in Label-Noise Learning?
2019/06/01 by Xiaobo Xia, Xia, Xiaobo, Tongliang Liu +11 · 12 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Advanced Multi-Objective Optimization Algorithms
- Relative Density-Ratio Estimation for Robust Distribution Comparison
2011/06/23 by Makoto Yamada, Taiji Suzuki, Yamada, Makoto +7 · 7 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Methodology (stat.ME) #Statistics Theory (math.ST)
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
2020/02/26 by Jingfeng Zhang, Zhang, Jingfeng, Xilie Xu +11 · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Anomaly Detection Techniques and Applications
- Rethinking Importance Weighting for Deep Learning under Distribution Shift
2020/06/08 by Tongtong Fang, Nan Lu, Fang, Tongtong +5 · 11 citations
Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM
- Learning from Complementary Labels
2017/05/22 by Takashi Ishida, Ishida, Takashi, Gang Niu +5 · 8 citations
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Normalized Flat Minima: Exploring Scale Invariant Definition of Flat\n Minima for Neural Networks using PAC-Bayesian Analysis
2019/01/14 by Yusuke Tsuzuku, Issei Sato, Tsuzuku, Yusuke +3 · 8 citations
Computer Science · Materials Science · Physics and Astronomy · #Neural Networks and Applications #Machine Learning in Materials Science #Statistical Mechanics and Entropy
- Progressive Identification of True Labels for Partial-Label Learning
2020/02/19 by Jiaqi Lv, Miao Xu, Lv, Jiaqi +9 · 9 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies #Water Systems and Optimization
- Imitation Learning from Imperfect Demonstration
2019/01/27 by Yueh-Hua Wu, Wu, Yueh-Hua, Nontawat Charoenphakdee +7 · 8 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Provably Consistent Partial-Label Learning
2020/07/17 by Lei Feng, Jiaqi Lv, Feng, Lei +13 · 8 citations
Computer Science · #Text and Document Classification Technologies #Machine Learning and Data Classification #Machine Learning and Algorithms
- Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
2020/06/14 by Yu Yao, Tongliang Liu, Yao, Yu +11 · 8 citations
Computer Science · Engineering · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Industrial Vision Systems and Defect Detection
- Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
2019/10/03 by Johannes Ackermann, Volker Gabler, Ackermann, Johannes +5 · 7 citations
Computer Science · Social Sciences · #Reinforcement Learning in Robotics #Experimental Behavioral Economics Studies #Adaptive Dynamic Programming Control
- Do We Need Zero Training Loss After Achieving Zero Training Error?
2020/02/20 by Takashi Ishida, Ikko Yamane, Ishida, Takashi +7 · 7 citations
Computer Science · Health Professions · Psychology · #FOS: Computer and information sciences #Human Resource Development and Performance Evaluation #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quality and Safety in Healthcare #Smart Systems and Machine Learning
- Probabilistic Margins for Instance Reweighting in Adversarial Training
2021/06/15 by Qizhou Wang, Wang, Qizhou, Feng Liu +13 · 7 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Integrated Circuits and Semiconductor Failure Analysis
- Learning with Multiple Complementary Labels
2019/12/30 by Lei Feng, Takuo Kaneko, Feng, Lei +9 · 6 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Text and Document Classification Technologies
- Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
2021/02/04 by Yivan Zhang, Gang Niu, Zhang, Yivan +3 · 6 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Neural Networks and Applications
- Complementary-Label Learning for Arbitrary Losses and Models
2018/10/10 by Takashi Ishida, Ishida, Takashi, Gang Niu +5 · 5 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Variational Inference based on Robust Divergences
2017/10/18 by Futoshi Futami, Futami, Futoshi, Issei Sato +3 · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing
- Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
2020/06/21 by Mehdi Bennani, Thang Doan, Bennani, Mehdi Abbana +3 · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Multimodal Machine Learning Applications
- Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety
2025/02/02 by Xingjun Ma, Ma, Xingjun, Yifeng Gao +88 · 20 citations
Health Professions · Decision Sciences · Engineering · #Occupational Health and Safety Research #Risk and Safety Analysis #Safety Systems Engineering in Autonomy
- Robust Imitation Learning from Noisy Demonstrations
2020/10/20 by Voot Tangkaratt, Tangkaratt, Voot, Nontawat Charoenphakdee +3 · 4 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
2019/10/20 by Nan Lu, Tianyi Zhang, Lu, Nan +5 · 4 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Imbalanced Data Classification Techniques
- Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
2024/05/29 by Ziqing Fan, Fan, Ziqing, Shengchao Hu +11 · 8 citations
Computer Science · Engineering · #Distributed #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Fully adaptive algorithm for pure exploration in linear bandits
2017/10/16 by Liyuan Xu, Junya Honda, Xu, Liyuan +3 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- The Degrees of Freedom of Partial Least Squares Regression
2010/02/22 by Nicole Kraemer, Masashi Sugiyama, Kraemer, Nicole +1 · 2 citations
Chemistry · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Spectroscopy and Chemometric Analyses #Statistical and numerical algorithms #Statistics Theory (math.ST)
- Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
2020/06/29 by Zeke Xie, Xie, Zeke, Xinrui Wang +7 · 3 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
- Learning from Similarity-Confidence Data
2021/02/13 by Yuzhou Cao, Cao, Yuzhou, Lei Feng +9 · 3 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
2024/09/25 by Ming Li, Li, Ming, Jike Zhong +9 · 7 citations
Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO) #Robotics and Automated Systems
- On the Effectiveness of Adversarial Training against Backdoor Attacks
2022/02/22 by Ying-Hua Gao, Gao, Yinghua, Dongxian Wu +11 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Binary Classification from Positive-Confidence Data
2017/10/19 by Takashi Ishida, Gang Niu, Ishida, Takashi +3 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Bayesian posterior approximation via greedy particle optimization
2018/05/21 by Futoshi Futami, Futami, Futoshi, Zhenghang Cui +5 · 2 citations
Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
- Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
2023/10/21 by Jianing Zhu, Yu Geng, Zhu, Jianing +11 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
2023/02/06 by Yujie Zhang, Zhang, Yu-Jie, Zhang, Zhen-Yu +3 · 3 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
- On the Calibration of Multiclass Classification with Rejection
2019/01/30 by Chenri Ni, Nontawat Charoenphakdee, Ni, Chenri +5 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization
2019/04/26 by Takuya Shimada, Han Bao, Shimada, Takuya +5 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification #Machine Learning and Algorithms
- Are Registration Uncertainty and Error Monotonically Associated
2019/08/21 by Jie Luo, Luo, Jie, Sarah Frisken +9 · 2 citations
Computer Science · Engineering · Medicine · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications
- Classification with Rejection Based on Cost-sensitive Classification
2020/10/22 by Nontawat Charoenphakdee, Zhenghang Cui, Charoenphakdee, Nontawat +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Unbiased Risk Estimators Can Mislead: A Case Study of Learning with\n Complementary Labels
2020/07/05 by Yu-Ting Chou, Chou, Yu-Ting, Gang Niu +5 · 5 citations
Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Pointwise Binary Classification with Pairwise Confidence Comparisons
2020/10/05 by Lei Feng, Feng, Lei, Senlin Shu +13 · 2 citations
Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
2021/03/31 by Zeke Xie, Yuan Li, Xie, Zeke +5 · 2 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Machine Learning and ELM
- Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization
2022/07/04 by Yuting Tang, N. Lu, Tang, Yuting +5 · 2 citations
Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
- Few-shot Domain Adaptation by Causal Mechanism Transfer
2020/02/10 by Takeshi Teshima, Issei Sato, Teshima, Takeshi +3 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Parametric Return Density Estimation for Reinforcement Learning
2012/03/15 by Tetsuro Morimura, Masashi Sugiyama, Morimura, Tetsuro +7 · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Density-Difference Estimation
2012/06/30 by Masashi Sugiyama, Takafumi Kanamori, Sugiyama, Masashi +9 · 1 citation
Computer Science · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
- Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
2023/05/22 by Hao Chen, Chen, Hao, Ankit Shah +15 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies
- Direct Distillation between Different Domains
2024/01/12 by Jialiang Tang, Shuo Chen, Tang, Jialiang +11 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and ELM
- Fairness Improves Learning from Noisily Labeled Long-Tailed Data
2023/03/22 by Jiaheng Wei, Zhaowei Zhu, Wei, Jiaheng +11 · 2 citations
Computer Science · #Machine Learning and Data Classification
- A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation
2018/03/20 by Jie Luo, Luo, Jie, Matt Toews +23 · 1 citation
Computer Science · Engineering · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging and Analysis #Surgical Simulation and Training
- Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification
2019/05/29 by Han Bao, Bao, Han, Masashi Sugiyama +1 · 1 citation
Computer Science · Mathematics · #Machine Learning and Algorithms #Imbalanced Data Classification Techniques #Statistical Methods and Inference
- Calibrated Surrogate Losses for Adversarially Robust Classification
2020/05/28 by Han Bao, Clayton Scott, Bao, Han +3 · 1 citation
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
- A One-step Approach to Covariate Shift Adaptation
2020/07/08 by Tianyi Zhang, Zhang, Tianyi, Ikko Yamane +5 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
2020/11/12 by Zeke Xie, Fengxiang He, Xie, Zeke +9 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications #Explainable Artificial Intelligence (XAI)
- Offline Reinforcement Learning with Domain-Unlabeled Data
2024/04/11 by Soichiro Nishimori, Nishimori, Soichiro, Xin-Qiang Cai +5 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Offline Reinforcement Learning from Datasets with Structured Non-Stationarity
2024/05/23 by Johannes Ackermann, Takayuki Osa, Ackermann, Johannes +3 · 2 citations
Computer Science · Business, Management and Accounting · #Reinforcement Learning in Robotics #Supply Chain and Inventory Management
- Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
2023/05/04 by Mingkun Xie, Xie, Ming-Kun, Jia‐Hao Xiao +8 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
2021/02/10 by Hanshu Yan, Jingfeng Zhang, Yan, Hanshu +9 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A General Framework for Learning from Weak Supervision
2024/02/02 by Hao Chen, Jindong Wang, Chen, Hao +15 · 2 citations
Psychology · #Counseling, Therapy, and Family Dynamics #Counseling Practices and Supervision #Psychology, Coaching, and Therapy
- Learning with Proper Partial Labels
2021/12/23 by Zhenguo Wu, Wu, Zhenguo, Jiaqi Lv +3 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies #Water Systems and Optimization
- Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
2022/02/01 by Takashi Ishida, Ikko Yamane, Ishida, Takashi +7 · 1 citation
Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Towards Adversarially Robust Deep Image Denoising
2022/01/12 by Hanshu Yan, Jingfeng Zhang, Yan, Hanshu +7 · 1 citation
Computer Science · #Image and Signal Denoising Methods #Advanced Image Processing Techniques #Adversarial Robustness in Machine Learning
- Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation
2022/06/06 by De Cheng, Cheng, De, Tongliang Liu +13 · 1 citation
Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Music and Audio Processing
- Universal approximation property of invertible neural networks
2022/04/15 by Isao Ishikawa, Ishikawa, Isao, Takeshi Teshima +9 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- The Survival Bandit Problem
2022/06/07 by Charles Riou, Junya Honda, Riou, Charles +3 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Machine Learning and Algorithms
- Sharpness-Aware Black-Box Optimization
2024/10/16 by Feiyang Ye, Yueming Lyu, Ye, Feiyang +9 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Cloud Computing and Resource Management #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
2023/05/19 by Yivan Zhang, Zhang, Yivan, Masashi Sugiyama +1 · 1 citation
Computer Science · #Category Theory (math.CT) #FOS: Computer and information sciences #FOS: Mathematics #Imbalanced Data Classification Techniques #Logic (math.LO) #Machine Learning (cs.LG)
- Slight Corruption in Pre-training Data Makes Better Diffusion Models
2024/05/30 by Hao Chen, Yujin Han, Chen, Hao +15 · 2 citations
Mathematics · #Statistical Methods and Inference
- A Category-theoretical Meta-analysis of Definitions of Disentanglement
2023/05/11 by Yivan Zhang, Masashi Sugiyama, Zhang, Yivan +1 · 1 citation
Computer Science · #Imbalanced Data Classification Techniques #Machine Learning and Data Classification #Software Engineering Research
- Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
2023/07/21 by Jialiang Tang, Tang, Jialiang, Shuo Chen +7 · 1 citation
Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
- Balancing Similarity and Complementarity for Federated Learning
2024/05/16 by Kunda Yan, Yan, Kunda, Sen Cui +13 · 1 citation
Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
- Weak-to-Strong Diffusion with Reflection
2025/02/01 by Lichen Bai, Bai, Lichen, Masashi Sugiyama +3 · 2 citations
Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Numerical methods in inverse problems
- Decoupling the Class Label and the Target Concept in Machine Unlearning
2024/06/12 by Jianing Zhu, Zhu, Jianing, Bo Han +9 · 1 citation
Computer Science · Engineering · #Educational Technology and Assessment #Engineering Education and Curriculum Development #FOS: Computer and information sciences #Machine Learning (cs.LG) #Online Learning and Analytics