| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Congjie Liu, Xiaoguang Li |
Multi-factor Memory Attentive Model for Knowledge Tracing.  |
ACML  |
2021 |
DBLP BibTeX RDF |
|
| 1 | Otto Nyberg, Tomasz Kusmierczyk, Arto Klami |
Uplift Modeling with High Class Imbalance. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Xingyuan Yu, Neng Du, Ge Gao, Fan Wen |
ASD-Conv: Monocular 3D object detection network based on Asymmetrical Segmentation Depth-aware Convolution. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Futoshi Futami |
Scalable gradient matching based on state space Gaussian Processes. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Akshay Mehra, Jihun Hamm |
Penalty Method for Inversion-Free Deep Bilevel Optimization. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda |
Bayesian nonparametric model for arbitrary cubic partitioning. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami |
Modeling Risky Choices in Unknown Environments. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Napoleon Costilla-Enriquez, Yang Weng |
Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Tatsuya Matsuoka, Naoto Ohsaka |
Maximization of Monotone k-Submodular Functions with Bounded Curvature and Non-k-Submodular Functions. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Anton Mallasto, Markus Heinonen, Samuel Kaski |
Bayesian Inference for Optimal Transport with Stochastic Cost. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Zichen Ma, Yu Lu, Wenye Li 0001, Jinfeng Yi, Shuguang Cui |
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara |
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Hongjiao Guan, Bin Ma 0003, Yingtao Zhang, Xianglong Tang |
ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Shizhao Zhang, Hongya Tuo, Jian Hu, Zhongliang Jing |
Domain Adaptive YOLO for One-Stage Cross-Domain Detection. |
ACML |
2021 |
DBLP BibTeX RDF |
|
| 1 | Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang 0001, Alp Akcay |
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yulei Yang, Dongsheng Li |
NENN: Incorporate Node and Edge Features in Graph Neural Networks. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé |
Collaborative Exploration in Stochastic Multi-Player Bandits. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Alexis Jacq, Julien Pérolat, Matthieu Geist, Olivier Pietquin |
Foolproof Cooperative Learning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Lei Wu, Zhanxing Zhu |
Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Wenye Li 0001 |
Scalable Calibration of Affinity Matrices from Incomplete Observations. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra |
Geodesically-convex optimization for averaging partially observed covariance matrices. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo |
Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Kaushalya Madhawa, Tsuyoshi Murata |
{M. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley |
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jia-Wei Mi, Shu-Ting Shi, Ming Li 0005 |
Learning Code Changes by Exploiting Bidirectional Converting Deviation. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley |
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Masanori Yamada, Heecheol Kim 0002, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa |
Disentangled Representations for Sequence Data using Information Bottleneck Principle. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Shiwen Ni, Hung-Yu Kao |
PSForest: Improving Deep Forest via Feature Pooling and Error Screening. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Xingchen Deng, Lei Zhang 0049, Yixing Fan, Long Bai 0002, Jiafeng Guo, Pengfei Wang 0009 |
Bidirectional Dependency-Guided Attention for Relation Extraction. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Zhibing Zhao, Yingce Xia, Tao Qin 0001, Lirong Xia, Tie-Yan Liu |
Dual Learning: Theoretical Study and an Algorithmic Extension. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Edouard Leurent, Odalric-Ambrym Maillard |
Monte-Carlo Graph Search: the Value of Merging Similar States. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Hengfeng Zha, Rui Liu 0015, Dongsheng Zhou, Xin Yang 0011, Qiang Zhang 0008, Xiaopeng Wei |
Efficient Attention Calibration Network for Real-Time Semantic Segmentation. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel |
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Kuen-Han Tsai, Hsuan-Tien Lin |
Learning from Label Proportions with Consistency Regularization. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu |
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Aadirupa Saha |
Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Sinno Jialin Pan, Masashi Sugiyama (eds.) |
Proceedings of The 12th Asian Conference on Machine Learning, ACML 2020, 18-20 November 2020, Bangkok, Thailand. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Bin Xiao 0008, Chien-Liang Liu, Wen-Hoar Hsaio |
Proxy Network for Few Shot Learning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Detong Chen |
A foreground detection algorithm for Time-of-Flight cameras adapted dynamic integration time adjustment and multipath distortions. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Haixin Wang 0003, Xingzhang Ren, Jinan Sun, Wei Ye 0004, Long Chen, Muzhi Yu, Shikun Zhang |
Deep Dynamic Boosted Forest. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yaser Alwatter, Yuhong Guo |
Inverse Visual Question Answering with Multi-Level Attentions. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni |
Randomness Efficient Feature Hashing for Sparse Binary Data. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Chuanchang Chen, Yubo Tao, Hai Lin 0003 |
Learning Dynamic Context Graph Embedding. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Haofei Chen, Ya Liu, Japnit Kaur Ahuja, Daren Ler |
A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra |
Thompson Sampling for Unsupervised Sequential Selection. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier |
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jia He 0001, Feiyang Pan, Fuzhen Zhuang, Qing He 0003 |
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Meng Liu 0014, Ziwei Quan, Yong Liu 0029 |
Network Representation Learning Algorithm Based on Neighborhood Influence Sequence. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Tianyi Zhang, Ikko Yamane, Nan Lu, Masashi Sugiyama |
A One-step Approach to Covariate Shift Adaptation. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Anas Barakat, Pascal Bianchi |
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Clemens Damke, Vitalik Melnikov, Eyke Hüllermeier |
A Novel Higher-order Weisfeiler-Lehman Graph Convolution. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi |
Scaling up Simhash. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yasuhiro Katsura, Masato Uchida |
Bridging Ordinary-Label Learning and Complementary-Label Learning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Qidong Liu, Feng Tian 0002, Weihua Ji, Qinghua Zheng |
A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Bowen Li, Kai Huang 0002, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen |
DFQF: Data Free Quantization-aware Fine-tuning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu 0001, Kun Wang 0005, Lei He 0001 |
Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Xuena Ren, Dongming Zhang, Xiuguo Bao |
Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Bhanu Garg, Naresh Manwani |
Robust Deep Ordinal Regression under Label Noise. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yao-Xiang Ding, Zhi-Hua Zhou |
Boosting-Based Reliable Model Reuse. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Haoxian Chen 0002, Henry Lam, Fengpei Li, Amirhossein Meisami |
Constrained Reinforcement Learning via Policy Splitting. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Zihao Wang 0001, Datong Zhou, Ming Yang, Yong Zhang 0002, Chenglong Rao, Hao Wu 0060 |
Robust Document Distance with Wasserstein-Fisher-Rao metric. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Dung Nguyen 0001, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran 0001 |
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Linfeng Liu, Liping Liu 0001 |
Localizing and Amortizing: Efficient Inference for Gaussian Processes. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Zhonghong Li, Yang Yi, Ying She, Jialun Song, Yukun Wu |
AARM: Action Attention Recalibration Module for Action Recognition. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Maanik Arora, Naresh Manwani |
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jianxun Wang 0002, David L. Roberts 0001, Andinet Enquobahrie |
Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker |
Learning Interpretable Models using Soft Integrity Constraints. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Yang Hong, Xinhuai Tang, Tiancheng Tang, Yunlong Hu, Jintai Tian |
Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Reza Refaei Afshar, Yingqian Zhang 0001, Murat Firat, Uzay Kaymak |
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. |
ACML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Zichuan Lin, Li Zhao 0007, Jiang Bian 0002, Tao Qin 0001, Guangwen Yang |
Unified Policy Optimization for Robust Reinforcement Learning. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee 0004, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim |
Trust Region Sequential Variational Inference. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin |
Deep Learning with a Rethinking Structure for Multi-label Classification. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
Learning to Sample Hard Instances for Graph Algorithms. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Léonard Torossian, Aurélien Garivier, Victor Picheny |
$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Qingxuan Zhang, Chongyang Shi |
An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification. |
ACML |
2019 |
DBLP BibTeX RDF |
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| 1 | Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang |
Multi-branch Siamese Network for High Performance Online Visual Tracking. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann |
Realistic Image Generation using Region-phrase Attention. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Liu Han, Hailong Wu, Nan Hu, Binbin Qu |
Convolutional Neural Collaborative Filtering with Stacked Embeddings. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed |
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Keisuke Kawano, Satoshi Koide, Takuro Kutsuna |
Canonical Soft Time Warping. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Yashen Wang, Huanhuan Zhang, Haiyong Xie 0001 |
A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Vitalik Melnikov, Eyke Hüllermeier |
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Henry Gouk, Bernhard Pfahringer, Eibe Frank |
Stochastic Gradient Trees. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Wee Sun Lee, Taiji Suzuki (eds.) |
Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Haixin Wang, Lintao Wu, Qiongzhi Wu |
SPCDet: Enhancing Object Detection with Combined Feature Fusing. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak |
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. |
ACML |
2019 |
DBLP BibTeX RDF |
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| 1 | Chongqin Lei, Weiguo Gong, Zixu Wang |
Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Youngnam Kim, Seungjin Choi |
Forward-Backward Generative Adversarial Networks for Anomaly Detection. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Hao Wang 0068, Bing Liu 0001, Shuai Wang 0020, Nianzu Ma, Yan Yang 0001 |
Forward and Backward Knowledge Transfer for Sentiment Classification. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Puja Sahu, Nandyala Hemachandra |
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter. |
ACML |
2019 |
DBLP BibTeX RDF |
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| 1 | Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |
Variational Inference from Ranked Samples with Features. |
ACML |
2019 |
DBLP BibTeX RDF |
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| 1 | Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho |
Regularizing Neural Networks via Stochastic Branch Layers. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Chang Wang, Chao Yan, Xiaojia Xiang, Han Zhou |
A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Inyoung Paik, Taeyeong Kwak, Injung Kim |
Capsule Networks Need an Improved Routing Algorithm. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Jihun Choi, Taeuk Kim, Sang-goo Lee |
Cell-aware Stacked LSTMs for Modeling Sentences. |
ACML |
2019 |
DBLP BibTeX RDF |
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| 1 | Tsuyoshi Kato, Yoshihiro Hirohashi |
Learning Weighted Top-$k$ Support Vector Machine. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Lishan Li, Ying Liu 0024, Jianping Wu, Lin He 0004, Gang Ren 0003 |
Multi-modal Representation Learning for Successive POI Recommendation. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis |
Learning to Augment with Feature Side-information. |
ACML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Xiaoming Liu 0004, Xiangkai Wei, Aihui Yu, Zhifang Pan |
Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network. |
ACML |
2019 |
DBLP BibTeX RDF |
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| 1 | Daichi Nishio, Satoshi Yamane |
Random Projection in Neural Episodic Control. |
ACML |
2019 |
DBLP BibTeX RDF |
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