Alexander Liu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 8

Top Topics

Transfer Learning

Temporal Coherence

Endoscopic Images

Top Venues

Int. J. Comput. Vis.

Publications

Alexander Liu, Siqi Wu, Paul Resnick
How to Train Your YouTube Recommender to Avoid Unwanted Videos. ICWSM (2024)
Alexander Liu, Siqi Wu, Paul Resnick
How to Train Your YouTube Recommender. CoRR (2023)
Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. Int. J. Comput. Vis. 130 (7) (2022)
Alexander Liu, Samuel Yang
Masked Autoencoders As The Unified Learners For Pre-Trained Sentence Representation. CoRR (2022)
Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
Monarch: Expressive Structured Matrices for Efficient and Accurate Training. ICML (2022)
Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
Monarch: Expressive Structured Matrices for Efficient and Accurate Training. CoRR (2022)
Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah
Routing with Self-Attention for Multimodal Capsule Networks. CoRR (2021)
Juan Diego Rodríguez, Adam Caldwell, Alexander Liu
Transfer Learning for Entity Recognition of Novel Classes. COLING (2018)
Amanda Hutton, Alexander Liu, Cheryl E. Martin
Crowdsourcing Evaluations of Classifier Interpretability. AAAI Spring Symposium: Wisdom of the Crowd (2012)
Edward Boyd, Hesham Elbakoury, Marek Hajduczenia, Alexander Liu
EPON over Coax (EPoC). IEEE Commun. Mag. 50 (9) (2012)
Alexander Liu, Dung N. Lam
Using Consensus Clustering for Multi-view Anomaly Detection. IEEE Symposium on Security and Privacy Workshops (2012)
Dung N. Lam, Alexander Liu, Cheryl E. Martin
Graph-Based Data Warehousing Using the Core-Facets Model. ICDM (2011)
Alexander Liu, Cheryl E. Martin
Smoothing Multinomial Naïve Bayes in the Presence of Imbalance. MLDM (2011)
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (2) (2010)
Alexander Liu, Goo Jun, Joydeep Ghosh
Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs. IGARSS (5) (2009)
Alexander Liu, Goo Jun, Joydeep Ghosh
A self-training approach to cost sensitive uncertainty sampling. Mach. Learn. 76 (2-3) (2009)
Alexander Liu, Goo Jun, Joydeep Ghosh
Spatially Cost-Sensitive Active Learning. SDM (2009)
Alexander Liu, Goo Jun, Joydeep Ghosh
A Self-training Approach to Cost Sensitive Uncertainty Sampling. ECML/PKDD (1) (2009)
Cindy K. Chung, Clinton Jones, Alexander Liu, James W. Pennebaker
Predicting Success and Failure in Weight Loss Blogs through Natural Language Use. ICWSM (2008)
Alexander Liu, Joydeep Ghosh, Cheryl E. Martin
Generative Oversampling for Mining Imbalanced Datasets. DMIN (2007)
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets. ICDM Workshops (2006)
Alexander Liu, Cheryl E. Martin, Tom Hetherington, Sara Matzner
AI Lessons Learned from Experiments in Insider Threat Detection. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications (2006)