Alexander J. Smola

Amazon (United States) — United States

Computer Science · Physical Sciences

66h-index52.1kcitations202works0.02yr avg
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Research Topics

Neural Networks and Applications(32), Recommender Systems and Techniques(23), Machine Learning and Data Classification(22), Topic Modeling(18), Face and Expression Recognition(18)

Publications202 total

Time-Varying Propensity Score to Bridge the Gap between the Past and Present
arXiv (Cornell University)·2022Open Access
BLISS: A Billion scale Index using Iterative Re-partitioning
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 13 cited
Multimodal AutoML for Image, Text and Tabular Data
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 11 cited
ResNeSt: Split-Attention Networks
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 1.2k cited
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network
ACM Transactions on Information Systems·2022· 7 cited
Improving Semantic Segmentation via Efficient Self-Training
IEEE Transactions on Pattern Analysis and Machine Intelligence·2021· 83 cited
Faster Deep Reinforcement Learning with Slower Online Network
arXiv (Cornell University)·2021· 1 citedOpen Access
Bloom Origami Assays: Practical Group Testing
HAL (Le Centre pour la Communication Scientifique Directe)·2021Open Access
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
arXiv (Cornell University)·2021· 3 citedOpen Access
Deep Explicit Duration Switching Models for Time Series
arXiv (Cornell University)·2021· 4 citedOpen Access
Dive into Deep Learning
arXiv (Cornell University)·2021· 78 citedOpen Access
IRLI: Iterative Re-partitioning for Learning to Index
arXiv (Cornell University)·2021Open Access
Flexible Model Aggregation for Quantile Regression
arXiv (Cornell University)·2021· 7 citedOpen Access
Deep Quantile Aggregation.
arXiv (Cornell University)·2021· 3 citedOpen Access
Continuous Doubly Constrained Batch Reinforcement Learning
arXiv (Cornell University)·2021· 6 citedOpen Access
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network
arXiv (Cornell University)·2020Open Access
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
arXiv (Cornell University)·2020· 1 citedOpen Access
Faster, Simpler, More Accurate
2020· 14 cited
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
2020· 113 cited
Bloom Origami Assays: Practical Group Testing
arXiv (Cornell University)·2020· 2 citedOpen Access
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Frequent Co-authors

Bernhard Schölkopf(14), Amr Ahmed(8), Arthur Gretton(5), Karsten Borgwardt(5), Klaus‐Robert Müller(4), K. Müller(4), Gunnar Rätsch(4), S. V. N. Vishwanathan(4), Chao-Yuan Wu(4), Malte J. Rasch(3), Jonas Mueller(3), R. Manmatha(3), Mu Li(3), Vanja Josifovski(3), Shravan Narayanamurthy(3), Barnabás Póczos(3), Le Song(3), Christopher J. C. Burges(2), Chongruo Wu(2), Zhongyue Zhang(2)