Timezone: »
- [ 65257 ] Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
- [ 65258 ] MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
- [ 65259 ] Two-Stream Network for Sign Language Recognition and Translation
- [ 65260 ] Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
- [ 65261 ] Egocentric Video-Language Pretraining
- [ 65262 ] Multi-dataset Training of Transformers for Robust Action Recognition
- [ 65264 ] Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
- [ 65265 ] An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
- [ 65266 ] MultiScan: Scalable RGBD scanning for 3D environments with articulated objects
- [ 65267 ] A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
Q&A on RocketChat immediately following Lightning Talks
Author Information
Xiu-Shen Wei (Nanjing University of Science and Technology)
Konstantina Dritsa (Athens University of Economics and Business)
Guillaume Huguet (Mila; Université de Montréal)
ABHRA CHAUDHURI (University of Exeter)
Zhenbin Wang (University of Electronic Science and Technology of China)
Kevin Qinghong Lin (National University of Singapore)

I am currently a first-year Ph.D. student in Show Lab @ NUS, working with Prof. Mike Shou. Before that, I spend a wonderful year at Tencent as an intern, working with Dr. Wei Liu. I obtained my B.Sc and M.Sc degree in Shenzhen University. My research interests lie in Multi-Modal Learning, especially Vision-Language Pretraining.
Yutong Chen (Tsinghua University, Tsinghua University)
Jianan Zhou (Nanyang Technological University)
Yongsen Mao (Simon Fraser University)
Junwei Liang (Hong Kong University of Science and Technology (Guangzhou))

I am an assistant professor at The Hong Kong University of Science and Technology (Guangzhou campus) in the AI Thrust. I am interested in building AI systems that can understand and predict human behaviors. I received my Ph.D. from CMU. Please see these [projects](https://junweiliang.me/projects.html#projects) for an overview. My mission: develop AI technologies for social good.
Jinpeng Wang (SUN YAT-SEN UNIVERSITY)
Mao Ye (School of Computer Science and Engineering, University of Electronic Science and Technology of China)
Professor of School of Computer Science and Engineering, University of Electronic Science and Technology of China. He is the member of computer vision expert committee and multimedia computing expert committee of computer society. In 2002, he received his Ph.D. in Computational Mathematics from the Chinese University of Hong Kong and joined the University of Electronic Science and Technology of China. He has been selected into the new century excellent talents support plan of the Ministry of education and the Sichuan outstanding youth discipline leader support plan. At present, the main research fields are machine learning and computer vision, and more than 100 international academic papers have been published. He presided over various national, provincial and ministerial level projects such as the national key research and development program, the National Natural Science Foundation, and the science and Technology Department of Sichuan Province. He has served as the editorial board member of Engineering Applications of Artificial Intelligence, and the editorial board member of ZTE technology. He won one first prize of scientific and technological progress award of Sichuan Province and one second prize of science and technology award of China image graphics society. He also won the excellent cooperation team of Huawei University of Electronic Science and technology in 2012 and the best student paper award of 2017 ICME International Conference as a supervisor.
Yiming Zhang (Simon Fraser University)
Aikaterini Thoma (Athens University of Economics and Business)
H.-Y. Xu (School of Computer Science and Engineering, Nanjing University of Science and Technology)
Daniel Sumner Magruder (Yale University)
Enwei Zhang (Tencent Youtu Lab)
Jianing Zhu (HKBU)
Ronglai Zuo (The Hong Kong University of Science and Technology)
Massimiliano Mancini (University of Tuebingen)
Hanxiao Jiang (Simon Fraser University)
Jun Zhang (Tencent Youtu Lab)
Fangyun Wei (Microsoft Research Asia)
Faen Zhang (ISCAS)
Ioannis Pavlopoulos (Stockholm University)
Zeynep Akata (University of Tübingen)
Xiatian Zhu (University of Surrey)
Jingfeng ZHANG (RIKEN AIP)
Alexander Tong (Mila)
Mattia Soldan (KAUST)
Chunhua Shen (University of Adelaide)
Yuxin Peng (Peking University)
Liuhan Peng (Xinjiang University)
Michael Wray (University of Bristol)
Tongliang Liu (The University of Sydney)
Anjan Dutta (University of Surrey)
Yu Wu (Microsoft)
Oluwadamilola Fasina (Yale University)
Panos Louridas (Athens University of Economics and Business)
Angel Chang (Simon Fraser University)
Manik Kuchroo (Yale)
Manolis Savva (Simon Fraser University)
Shujie LIU (Microsoft)
Wei Zhou
Rui Yan (Nanjing University of Science and Technology)
Gang Niu (RIKEN)

Gang Niu is currently an indefinite-term senior research scientist at RIKEN Center for Advanced Intelligence Project.
Liang Tian (University of Electronic Science and Technology of China)
Bo Han (HKBU / RIKEN)
Eric Z. XU (National University of Singapore)
Guy Wolf (Université de Montréal; Mila)
Yingying Zhu (University of Texas, Arlington)
Brian Mak (The Hong Kong University of Science and Technology)
Difei Gao (NUS)
Masashi Sugiyama (RIKEN / University of Tokyo)
Smita Krishnaswamy (Yale University)
Rong-Cheng Tu (Beijing Institute of Technology)
Wenzhe Zhao (South China University of Technology)
Weijie Kong (Peking University)
Chengfei Cai (Zhejiang University)
WANG HongFa (Chinese Academy of Sciences)
Dima Damen (University of Bristol)

Professor of Computer Vision at the University of Bristol.
Bernard Ghanem (KAUST)
Wei Liu (Tencent)
Mike Zheng Shou (National University of Singapore)
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2022 Poster: ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning »
Junting Pan · Ziyi Lin · Xiatian Zhu · Jing Shao · Hongsheng Li -
2022 Poster: Is Out-of-Distribution Detection Learnable? »
Zhen Fang · Yixuan Li · Jie Lu · Jiahua Dong · Bo Han · Feng Liu -
2021 Workshop: Second Workshop on Quantum Tensor Networks in Machine Learning »
Xiao-Yang Liu · Qibin Zhao · Ivan Oseledets · Yufei Ding · Guillaume Rabusseau · Jean Kossaifi · Khadijeh Najafi · Anwar Walid · Andrzej Cichocki · Masashi Sugiyama -
2021 : Discussion: Chelsea Finn, Masashi Sugiyama »
Chelsea Finn · Masashi Sugiyama -
2021 : Importance Weighting for Transfer Learning »
Masashi Sugiyama -
2021 : Invited Talk - Dima Damen »
Dima Damen -
2021 Workshop: ImageNet: Past, Present, and Future »
Zeynep Akata · Lucas Beyer · Sanghyuk Chun · A. Sophia Koepke · Diane Larlus · Seong Joon Oh · Rafael Rezende · Sangdoo Yun · Xiaohua Zhai -
2021 Poster: ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning »
Guocheng Qian · Hasan Hammoud · Guohao Li · Ali Thabet · Bernard Ghanem -
2021 : Multimodal Single-Cell Data Integration + Q&A »
Daniel Burkhardt · Smita Krishnaswamy · Malte Luecken · Debora Marks · Angela Pisco · Bastian Rieck · Jian Tang · Alexander Tong · Fabian Theis · Guy Wolf -
2021 Poster: Understanding and Improving Early Stopping for Learning with Noisy Labels »
Yingbin Bai · Erkun Yang · Bo Han · Yanhua Yang · Jiatong Li · Yinian Mao · Gang Niu · Tongliang Liu -
2021 Poster: Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra -
2021 Poster: Low-Fidelity Video Encoder Optimization for Temporal Action Localization »
Mengmeng Xu · Juan Manuel Perez Rua · Xiatian Zhu · Bernard Ghanem · Brais Martinez -
2021 Poster: A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval »
Xiu-Shen Wei · Yang Shen · Xuhao Sun · Han-Jia Ye · Jian Yang -
2021 Poster: Loss function based second-order Jensen inequality and its application to particle variational inference »
Futoshi Futami · Tomoharu Iwata · naonori ueda · Issei Sato · Masashi Sugiyama -
2021 Poster: Universal Semi-Supervised Learning »
Zhuo Huang · Chao Xue · Bo Han · Jian Yang · Chen Gong -
2021 Poster: Probabilistic Margins for Instance Reweighting in Adversarial Training »
qizhou wang · Feng Liu · Bo Han · Tongliang Liu · Chen Gong · Gang Niu · Mingyuan Zhou · Masashi Sugiyama -
2021 Poster: Aligning Pretraining for Detection via Object-Level Contrastive Learning »
Fangyun Wei · Yue Gao · Zhirong Wu · Han Hu · Stephen Lin -
2021 Poster: Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning »
Hanzhe Hu · Fangyun Wei · Han Hu · Qiwei Ye · Jinshi Cui · Liwei Wang -
2021 Poster: Instance-dependent Label-noise Learning under a Structural Causal Model »
Yu Yao · Tongliang Liu · Mingming Gong · Bo Han · Gang Niu · Kun Zhang -
2021 Poster: TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation »
Haoang Chi · Feng Liu · Wenjing Yang · Long Lan · Tongliang Liu · Bo Han · William Cheung · James Kwok -
2021 Poster: Bootstrap Your Object Detector via Mixed Training »
Mengde Xu · Zheng Zhang · Fangyun Wei · Yutong Lin · Yue Cao · Stephen Lin · Han Hu · Xiang Bai -
2021 Poster: Confident Anchor-Induced Multi-Source Free Domain Adaptation »
Jiahua Dong · Zhen Fang · Anjin Liu · Gan Sun · Tongliang Liu -
2020 : Closing Remarks »
Frederic Chazal · Smita Krishnaswamy · Roland Kwitt · Karthikeyan Natesan Ramamurthy · Bastian Rieck · Yuhei Umeda · Guy Wolf -
2020 : Manik Kuchroo »
Manik Kuchroo -
2020 Workshop: Learning Meaningful Representations of Life (LMRL.org) »
Elizabeth Wood · Debora Marks · Ray Jones · Adji Bousso Dieng · Alan Aspuru-Guzik · Anshul Kundaje · Barbara Engelhardt · Chang Liu · Edward Boyden · Kresten Lindorff-Larsen · Mor Nitzan · Smita Krishnaswamy · Wouter Boomsma · Yixin Wang · David Van Valen · Orr Ashenberg -
2020 Workshop: Topological Data Analysis and Beyond »
Bastian Rieck · Frederic Chazal · Smita Krishnaswamy · Roland Kwitt · Karthikeyan Natesan Ramamurthy · Yuhei Umeda · Guy Wolf -
2020 : Opening Remarks »
Frederic Chazal · Smita Krishnaswamy · Roland Kwitt · Karthikeyan Natesan Ramamurthy · Bastian Rieck · Yuhei Umeda · Guy Wolf -
2020 Poster: Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning »
Yu Yao · Tongliang Liu · Bo Han · Mingming Gong · Jiankang Deng · Gang Niu · Masashi Sugiyama -
2020 Poster: Part-dependent Label Noise: Towards Instance-dependent Label Noise »
Xiaobo Xia · Tongliang Liu · Bo Han · Nannan Wang · Mingming Gong · Haifeng Liu · Gang Niu · Dacheng Tao · Masashi Sugiyama -
2020 Spotlight: Part-dependent Label Noise: Towards Instance-dependent Label Noise »
Xiaobo Xia · Tongliang Liu · Bo Han · Nannan Wang · Mingming Gong · Haifeng Liu · Gang Niu · Dacheng Tao · Masashi Sugiyama -
2020 Poster: Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence »
Bastian Rieck · Tristan Yates · Christian Bock · Karsten Borgwardt · Guy Wolf · Nicholas Turk-Browne · Smita Krishnaswamy -
2020 Spotlight: Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence »
Bastian Rieck · Tristan Yates · Christian Bock · Karsten Borgwardt · Guy Wolf · Nicholas Turk-Browne · Smita Krishnaswamy -
2020 Poster: Rethinking Importance Weighting for Deep Learning under Distribution Shift »
Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama -
2020 Poster: RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder »
Cheng Chi · Fangyun Wei · Han Hu -
2020 Poster: Learning from Aggregate Observations »
Yivan Zhang · Nontawat Charoenphakdee · Zhenguo Wu · Masashi Sugiyama -
2020 Poster: Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring »
Taira Tsuchiya · Junya Honda · Masashi Sugiyama -
2020 Spotlight: RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder »
Cheng Chi · Fangyun Wei · Han Hu -
2020 Spotlight: Rethinking Importance Weighting for Deep Learning under Distribution Shift »
Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama -
2020 : Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Signature of Disease »
Manik Kuchroo -
2020 Poster: Provably Consistent Partial-Label Learning »
Lei Feng · Jiaqi Lv · Bo Han · Miao Xu · Gang Niu · Xin Geng · Bo An · Masashi Sugiyama -
2020 Poster: Attribute Prototype Network for Zero-Shot Learning »
Wenjia Xu · Yongqin Xian · Jiuniu Wang · Bernt Schiele · Zeynep Akata -
2020 Poster: Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators »
Takeshi Teshima · Isao Ishikawa · Koichi Tojo · Kenta Oono · Masahiro Ikeda · Masashi Sugiyama -
2020 Oral: Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators »
Takeshi Teshima · Isao Ishikawa · Koichi Tojo · Kenta Oono · Masahiro Ikeda · Masashi Sugiyama -
2020 Poster: Self-Supervised Learning by Cross-Modal Audio-Video Clustering »
Humam Alwassel · Dhruv Mahajan · Bruno Korbar · Lorenzo Torresani · Bernard Ghanem · Du Tran -
2020 Poster: MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation »
Saim Wani · Shivansh Patel · Unnat Jain · Angel Chang · Manolis Savva -
2020 Spotlight: Self-Supervised Learning by Cross-Modal Audio-Video Clustering »
Humam Alwassel · Dhruv Mahajan · Bruno Korbar · Lorenzo Torresani · Bernard Ghanem · Du Tran -
2020 Poster: Domain Generalization via Entropy Regularization »
Shanshan Zhao · Mingming Gong · Tongliang Liu · Huan Fu · Dacheng Tao -
2020 Poster: Restoring Negative Information in Few-Shot Object Detection »
Yukuan Yang · Fangyun Wei · Miaojing Shi · Guoqi Li -
2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2019 : Phenotype »
Nir HaCohen · David Reshef · Matthew Johnson · Sam Morris · Aurel Nagy · Gokcen Eraslan · Meromit Singer · Eliezer Van Allen · Smita Krishnaswamy · Casey Greene · Scott Linderman · Alexander Wiltschko · Dylan Kotliar · James Zou · Brendan Bulik-Sullivan -
2019 Poster: Uncoupled Regression from Pairwise Comparison Data »
Ritsugen Jo · Junya Honda · Gang Niu · Masashi Sugiyama -
2019 Poster: Are Anchor Points Really Indispensable in Label-Noise Learning? »
Xiaobo Xia · Tongliang Liu · Nannan Wang · Bo Han · Chen Gong · Gang Niu · Masashi Sugiyama -
2019 Poster: Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence »
Fengxiang He · Tongliang Liu · Dacheng Tao -
2019 Poster: Visualizing the PHATE of Neural Networks »
Scott Gigante · Adam S Charles · Smita Krishnaswamy · Gal Mishne -
2019 Poster: On the Calibration of Multiclass Classification with Rejection »
Chenri Ni · Nontawat Charoenphakdee · Junya Honda · Masashi Sugiyama -
2018 Poster: Binary Classification from Positive-Confidence Data »
Takashi Ishida · Gang Niu · Masashi Sugiyama -
2018 Spotlight: Binary Classification from Positive-Confidence Data »
Takashi Ishida · Gang Niu · Masashi Sugiyama -
2018 Poster: Uplift Modeling from Separate Labels »
Ikko Yamane · Florian Yger · Jamal Atif · Masashi Sugiyama -
2018 Poster: Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces »
Motoya Ohnishi · Masahiro Yukawa · Mikael Johansson · Masashi Sugiyama -
2018 Poster: Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks »
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama -
2018 Poster: Geometry Based Data Generation »
Ofir Lindenbaum · Jay Stanley · Guy Wolf · Smita Krishnaswamy -
2018 Poster: Masking: A New Perspective of Noisy Supervision »
Bo Han · Jiangchao Yao · Gang Niu · Mingyuan Zhou · Ivor Tsang · Ya Zhang · Masashi Sugiyama -
2018 Spotlight: Geometry Based Data Generation »
Ofir Lindenbaum · Jay Stanley · Guy Wolf · Smita Krishnaswamy -
2018 Poster: Co-teaching: Robust training of deep neural networks with extremely noisy labels »
Bo Han · Quanming Yao · Xingrui Yu · Gang Niu · Miao Xu · Weihua Hu · Ivor Tsang · Masashi Sugiyama -
2017 : Poster Session (encompasses coffee break) »
Beidi Chen · Borja Balle · Daniel Lee · iuri frosio · Jitendra Malik · Jan Kautz · Ke Li · Masashi Sugiyama · Miguel A. Carreira-Perpinan · Ramin Raziperchikolaei · Theja Tulabandhula · Yung-Kyun Noh · Adams Wei Yu -
2017 Poster: Positive-Unlabeled Learning with Non-Negative Risk Estimator »
Ryuichi Kiryo · Gang Niu · Marthinus C du Plessis · Masashi Sugiyama -
2017 Poster: Learning from Complementary Labels »
Takashi Ishida · Gang Niu · Weihua Hu · Masashi Sugiyama -
2017 Oral: Positive-Unlabeled Learning with Non-Negative Risk Estimator »
Ryuichi Kiryo · Gang Niu · Marthinus C du Plessis · Masashi Sugiyama -
2017 Poster: Expectation Propagation for t-Exponential Family Using q-Algebra »
Futoshi Futami · Issei Sato · Masashi Sugiyama -
2017 Poster: Generative Local Metric Learning for Kernel Regression »
Yung-Kyun Noh · Masashi Sugiyama · Kee-Eung Kim · Frank Park · Daniel Lee -
2016 Poster: Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning »
Gang Niu · Marthinus Christoffel du Plessis · Tomoya Sakai · Yao Ma · Masashi Sugiyama -
2014 Poster: Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP »
Shinichi Nakajima · Issei Sato · Masashi Sugiyama · Kazuho Watanabe · Hiroko Kobayashi -
2014 Poster: Multitask learning meets tensor factorization: task imputation via convex optimization »
Kishan Wimalawarne · Masashi Sugiyama · Ryota Tomioka -
2014 Poster: Analysis of Learning from Positive and Unlabeled Data »
Marthinus C du Plessis · Gang Niu · Masashi Sugiyama -
2014 Poster: Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors »
Lingqiao Liu · Chunhua Shen · Lei Wang · Anton van den Hengel · Chao Wang -
2013 Poster: Parametric Task Learning »
Ichiro Takeuchi · Tatsuya Hongo · Masashi Sugiyama · Shinichi Nakajima -
2013 Poster: Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering »
Shinichi Nakajima · Akiko Takeda · S. Derin Babacan · Masashi Sugiyama · Ichiro Takeuchi -
2012 Poster: Perfect Dimensionality Recovery by Variational Bayesian PCA »
Shinichi Nakajima · Ryota Tomioka · Masashi Sugiyama · S. Derin Babacan -
2012 Poster: Density-Difference Estimation »
Masashi Sugiyama · Takafumi Kanamori · Taiji Suzuki · Marthinus C du Plessis · Song Liu · Ichiro Takeuchi -
2011 Poster: Relative Density-Ratio Estimation for Robust Distribution Comparison »
Makoto Yamada · Taiji Suzuki · Takafumi Kanamori · Hirotaka Hachiya · Masashi Sugiyama -
2011 Poster: Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification »
Ichiro Takeuchi · Masashi Sugiyama -
2011 Poster: Analysis and Improvement of Policy Gradient Estimation »
Tingting Zhao · Hirotaka Hachiya · Gang Niu · Masashi Sugiyama -
2011 Poster: Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent »
Shinichi Nakajima · Masashi Sugiyama · S. Derin Babacan -
2010 Spotlight: Global Analytic Solution for Variational Bayesian Matrix Factorization »
Shinichi Nakajima · Masashi Sugiyama · Ryota Tomioka -
2010 Poster: Global Analytic Solution for Variational Bayesian Matrix Factorization »
Shinichi Nakajima · Masashi Sugiyama · Ryota Tomioka -
2009 Poster: Positive Semidefinite Metric Learning with Boosting »
Chunhua Shen · Junae Kim · Lei Wang · Anton van den Hengel -
2008 Poster: Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection »
Takafumi Kanamori · Shohei Hido · Masashi Sugiyama -
2008 Poster: PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning »
Chunhua Shen · Alan Welsh · Lei Wang -
2007 Poster: Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation »
Masashi Sugiyama · Shinichi Nakajima · Hisashi Kashima · Paul von Buenau · Motoaki Kawanabe -
2007 Poster: Multi-Task Learning via Conic Programming »
Tsuyoshi Kato · Hisashi Kashima · Masashi Sugiyama · Kiyoshi Asai -
2006 Workshop: Learning when test and training inputs have different distributions »
Joaquin Quiñonero-Candela · Masashi Sugiyama · Anton Schwaighofer · Neil D Lawrence -
2006 Poster: Mixture Regression for Covariate Shift »
Amos Storkey · Masashi Sugiyama