|
|
|
Large Projects
- Algorithms and Frameworks for OCR and Content-based Image Retrieval
Jike Chong, Bryan Christopher Catanzaro, Narayanan Sundaram, Fares Hedayati and Kurt Keutzer
- Bioinformatics
Michael Jordan
- Center for Biomedical Informatics in Critical Care (C-BICC)
Norman Aleks, Stuart J. Russell, Shaunak Chatterjee, Nimar S Arora and Geoffrey Manley
- Declarative Systems Programming
Joseph M. Hellerstein
- Directing a Datacenter
Peter Bodik, Charles Sutton, Armando Fox, David A. Patterson and Michael Jordan
- Effective Bayesian Transfer Learning (EBTL)
Stuart J. Russell, Peter Bartlett and Michael Jordan
- GamesCrafters: Undergraduate Game Theory Research and Development
Dan Garcia
- Global Autonomous Language Exploitation (GALE)
Nelson Morgan, Daniel Jacob Gillick, Dilek Hakkani-Tur and Suman Ravuri
- Natural Language Processing Group (NLP)
Daniel Klein, Alexandre Bouchard-Cote, John Sturdy DeNero, Aria Delier Haghighi, Percy Shuo Liang, Adam David Pauls, Slav Orlinov Petrov and David Burkett
- Statistical Analysis of Online News (StatNews)
Laurent El Ghaoui, Bin Yu, Alexandre d'Aspremont and Brian Christopher Gawalt
- Statistical Machine Learning
Michael Jordan, Lior Pachter, Peter Bartlett and Martin Wainwright
Small Projects
- A General Framework for Workload Evaluation
Kristal Sauer, Charles Reiss, Alexandra Constantin, Archana Sulochana Ganapathi, Armando Fox, David A. Patterson and Michael Jordan
- A Probabilistic Approach to Diachronic Phonology
Alexandre Bouchard-Cote, Percy Shuo Liang, Daniel Klein and Thomas Griffiths
- Adversarial Reasoning with Partial Information
Jason A. Wolfe and Stuart J. Russell
- Agreement-based Learning
Percy Shuo Liang, Daniel Klein and Michael Jordan
- Angelic Hierarchical Planning
Jason Wolfe, Stuart J. Russell and Bhaskara Marthi
- Classification of Images with Hierarchical Beta Processes
Romain Jean Thibaux, Michael Jordan and Erik Sudderth
- CPRMs: A Joint Model for Understanding and Action
Leon Rubin Barrett and Jerome A. Feldman
- Data-Parallel Large Vocabulary Continuous Speech Recognition on Manycore Processors
Jike Chong, Yi Youngmin, Arlo Faria, Nadathur Rajagopalan Satish and Kurt Keutzer
- DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-Julien, Fei Sha and Michael Jordan
- Discriminative Features for Large Vocabulary Speech Recognition
Arlo Faria, Nelson Morgan and Suman Ravuri
- Ensemble Feature Selection for Multi-Stream Automatic Speech Recognition
David Gelbart and Nelson Morgan
- Exploring Intrinsic Speaker Qualities Via an Analysis of Automatic Speaker Recognition Systems
Lara Stoll and Nelson Morgan
- Grammar Learning Using Bayesian Nonparametrics
Percy Shuo Liang, Slav Orlinov Petrov, Michael Jordan and Daniel Klein
- High-Dimensional Subset Recovery in Noise: Sparsified Measurements without Loss of Statistical Efficiency
Christian Ladapo Omidiran and Martin Wainwright
- Jointly Constraining Parsing and Word Alignment on Bitexts
David Burkett, John Blitzer and Daniel Klein
- Learning and Inference for Hierarchically Split Probabilistic Context-Free Grammars
Slav Orlinov Petrov and Daniel Klein
- Multiprocessor Implementation of Image Recognition
Narayanan Sundaram, Bryan Christopher Catanzaro, Jike Chong and Kurt Keutzer
- Nonparametric Bayesian Methods for Machine Learning
Romain Jean Thibaux and Michael Jordan
- Parallel MLP Feature Extraction for Speech Recognition
Nelson Morgan, Arlo Faria, Chris Oei and Sherry Zhao
- Portfolio Effects in Collaborative Filtering
Tavi Nathanson, Ephrat Bitton and Ken Goldberg
- Probabilistic Inference with Unknown Objects
Stuart J. Russell, Rodrigo de Salvo Braz and Nimar S Arora
- Properties of Maximum and Maximal VC-Classes
Benjamin I. P. Rubinstein, J. Hyam Rubinstein and Peter Bartlett
- Prototype Sequence Modeling Toolkit (Prototypes)
Aria Delier Haghighi and Daniel Klein
- Security of Adaptive Systems (SecML)
Blaine Alan Nelson, Benjamin I. P. Rubinstein, Anthony D. Joseph, Doug Tygar, Jack Chi, Satish Rao, Nina Taft, Ling Huang, Shing-hon Lau and Anthony Tran
- Statistical Analysis of Estimators in Machine Learning
Percy Shuo Liang and Michael Jordan
- Syntactic Machine Translation
Alexandre Bouchard-Cote, John Sturdy DeNero, Aria Delier Haghighi, Percy Shuo Liang and Daniel Klein
- Unsupervised Content-based Organization of Large Collections of Activity Videos
Parvez Ahammad, Chuohao Yeo, Kannan Ramchandran and S. Shankar Sastry
- Unsupervised Coreference Resolution (UnsupCoref)
Aria Delier Haghighi and Daniel Klein
- Unsupervised Word Alignments for Machine Translation
John Sturdy DeNero, Percy Shuo Liang, Daniel Klein and Ben Taskar
|
|
|
