Publications
Adaptive Memory Networks
ICLR 2018
pp. 1-13, 2018
04/30/2018Adaptive Feature Abstraction for Translating Video to Text
The Thirty-Second AAAI Conference on Artificial Intelligence
pp 1-13, 2018
02/02/2018Video Generation From Text
The Thirty-Second AAAI Conference on Artificial Intelligence
pp. 1-8, 2018
02/02/2018Grounded Objects and Interactions for Video Captioning
ViGIL NIPS 2017 Workshop
1-9, 2017
12/08/2017On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
NIPS 2017
1-10, 2017
12/04/2017Exemplar-Centered Supervised Shallow Parametric Data Embedding
IJCAI 2017
pp. 2749-2485, 2017
08/19/2017A Context-aware Attention Network for Interactive Question Answering
KDD 2017
pp. 927-935, 2017
08/13/2017Detecting Positive Medical History Mentions
SIGIR 2017
pp. 1-4, 2017
08/07/2017Adaptive Feature Abstraction for Translating Video to Language
ICLR 2017
pp. 1-4, 2017
04/24/2017Pruning Filters for Efficient ConvNets
ICLR 2017
pp. 1-13, 2017
04/24/2017Label Filters for Large Scale Multilabel Classification
AISTATS 2017
JMLR: W&CP, Vol:54, 2017
04/20/2017Analogy-based Reasoning With Memory Networks for Future Prediction
NIPS 2016 COCO Workshop
pp. 1-9, 2016
12/09/2016Knowledge Based Factorized High Order Sparse Learning Models
MLCB 2015
pp.. 1-5, 2015
12/12/2015MALT: Distributed Data-Parallelism for Existing ML Applications
NIPS LearningSys Workshop (NIPS LearningSys '15)
pp. 1-6, 2015
12/12/2015Random Walk Distributed Dual Averaging Method For Decentralized Consensus Optimization
NIPS Optimization Workshop (NIPS OPT'15)
pp. 1-5, 2015
12/11/2015High-Order Neural Networks and Kernel Methods for Peptide-MHC Binding Prediction
Bioinformatics
pp. 1-7, 2015
07/23/2015High-Order Neural Networks and Kernel Methods for Peptide-MHC Binding Prediction
NIPS 2014 Workshop on Machine Learning in Computational Biology
pp. 1-4, 2014
12/13/2014Ensemble Learning Based Sparse High-Order Boltzmann Machine for Unsupervised Feature Interaction Identification
NIPS Workshop on Machine Learning in Computational Biology
pp. 1-4, 2014
12/13/2014A Deep Learning Model for Structured Outputs with High-order Interaction
NIPS workshop on Representation and Learning Methods for Complex Outputs
pp. 1-6, 2014
12/12/2014Factorized Sparse Learning Models with Interpretable High Order Feature Interactions
20th ACM SIGKDD Confeence on nowledge Discovery and Data Mining,
NYC, New York
08/24/2014Deep Semantic Embedding
Workshop on Semantic Matching in Information Retrieval (SMIR 2014), co-located with the 37th International ACM SIGIR Conference
1204:pp. 46-52, Eds. J. Gonzalo, H. Li, A. Moschitti, J. Xu, Queensland, Australia
07/11/2014Interpretable Sparse High-Order Boltzmann Machines
17th International Conference on Artificial Intelligence and Statistics (AISTATS 2014)
JMLR: W&CP 33:pp. 614-622, Reykjavik, Iceland
04/22/2014An Integrated Approach to Blood-Based Cancer Diagnosis and Biomarker Discovery
Pacific Symposium on Biocomputing (PSB 2014)
19:87-98, 2014
01/06/2014Interpretable Sparse High-Order Boltzmann Machines for Transcription Factor Interaction Identification
2013 NIPS Workshop on Machine Learning in Computational Biology, Lake Tahoe, NV
http://mlcb.org/
12/10/2013Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls
AMIA 2013 Annual Symposium
pp. 1109-1115, 2013
11/16/2013Biological Sequence Classification with Multivariate String Kernels
IEEE/ACM Transactions on Computational Biology and Bioinformatics
10(5):pp.1201-1210, 2013
10/01/2013Classification of Mitotic Figures with Convolutional Neural Networks and Seeded Blob Features
Journal of Pathology Informatics
4(9): DOI: 10.4103/2153-3539.112694, 2013
10/01/2013Answer Extraction by Recursive Parse Tree Descent
Proceedings of the Workshop on Continuous Vecotr Space Models and their Compositionality, Sofia, Bulgaria
pp: 110-118, August 9, 2013. 2013 Association for Computational Linguistics
08/04/2013Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis
Seventh International Workshop on Machine Learning in Systems Biology
pp. 1-5, 2013
07/19/2013NECLA at the Medical Natural Language Processing Pilot Task (MedNLP)
Proceedings of the 10th NTCIR Conference, Tokyo, Japan
http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings10/NTCIR/toc_ntcir.html#MEDNLP
06/18/2013Automatic classification of hepatocellular carcinoma images based on nuclear and structural features
Medical Imaging 2013: Digital Pathology (Eds. M.N. Gurcan, A. Madabhushi)
Proc. of SPIE Vol. 8676 86760Y-1-6, 2013 SPIE
02/09/2013Automated gastric cancer diagnosis on H&E-stained sections; training a classifier on a large scale with multiple instance machine learning
Proceedings of SPIE: Medical Imaging 2013, Digital Pathology (Eds. M.N. Gurcan, A. Madabushi)
Vol. 8676:pp. 867605-1-9, 2013 SPIE
02/09/2013Dawn of the digital diagnosis assisting system, can it open a new age for pathology?
Proceedings of SPIE: Medical Imaging 2013, Digital Pathology (Eds. M.N. Gurcan, A. Madabushi)
Vol. 8676 867602-1-16, 2013 SPIE
02/09/2013Learning the Dependency Structure of Latent Factors
NIPS 2012, Lake Tahoe, NV
http://nips.cc/Conferences/2012/Program/event.php?ID=3247
12/03/2012Bayesian Logistic Regression for Hierarchical Classification
Neural Information Processing Systems Conference and Workshop (NIPS 2012)
Lake Tahoe, NV
12/03/2012Large-scale Image Classification Using Supervised Spatial Encoder
The 21st Conference of the International Association for Pattern Recognition (ICPR2012), Tsukuba Science City, Japan
pp. 581-584, 978-4-9906441-0-9 ©2012 ICPR
11/12/2012Slot-Filling by Substring Extraction at TAC KBP 2012 (Team Papelo)
NIST Text Analysis Conference
Gaithersburg, Maryland
11/05/2012Sentiment Classification with Supervised Sequence Embedding
ECML 2012, Bristol, UK
http://www.ecmlpkdd2012.net/programme/schedule
09/24/2012Efficient Evaluation of Large Sequence Kernels
The 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Beijing, China
KDD’12, August 12–16, 2012, Beijing, China, 2012 ACM 978-1-4503-1462-6 /12/08
08/12/20122D similarity kernels for biological sequence classification
11th International Workshop on Data Mining in Bioinformatics (BIOKDD '12), Beijing, China
BIOKDD'12 August 12, 2012, Beijing, China, 2012 ACM 978-1-4503-1552-4
08/12/2012A Binary Classification Framework for Two-Stage Multiple Kernel Learning
Proceedings of the 29th International Conference on Machine Learning 2012, Edinburgh, Scotland
June 26 - July 1, 2012 Omnipress; ISBN 978-1-4503-1285-1
06/26/2012A Unified Multitask Architecture for Predicting Local Protein Properties
PLoS ONE
7(3):e32235. DOI:10.1371/journal.pone.0032235
03/26/2012Mitotic Figure Recognition: Agreement Among Pathologists and Computerized Detector
Analytical Cellular Pathology
35:pp. 97-100, 2012
03/07/2012Structured Latent Factor Analysis
NIPS Workshop: Challenges in Learning Hierarchical Models: Transfer Learning and Optimization, Sierra Nevada, Spain
http://sites.google.com/site/nips2011workshop/schedule
12/17/2011Sentiment Classification Based on Supervised Latent Ngram Analysis
CIKM'11
pp. 375-382, 2011
10/24/2011Dynamic Radial Contour Extraction by Splitting Homogeneous Areas
CAIP 2011, Part I, LNCS 6854
A. Berciano et al. (Eds), pp. 269-277, Springer-Verlag, Berlin Heidelberg 2011
08/29/2011Inductive Transfer for Bayesian Network Structure Learning
JMLR: Workshop and Conference Proceedings: Workshop on Unsupervised and Transfer Learning
7:1-10, 2011
07/02/2011On Inferring Image Label Information Using Rank Minimization for Supervised Concept Embedding
SCIA 2011
A. Heyden and F. Kahl (Eds.): LNCS 6688, pp. 102-113, Springer-Verlag Berlin Heidelberg 2011
05/23/2011Semi-Supervised Convolution Graph Kernels for Relation Extraction
2011 SIAM International Conference on Data Mining
pp. 510-521, 2011
04/28/2011Sparse Latent Semantic Analysis
2011 SIAM International Conference on Data Mining
pp. 474-485, 2011
04/28/2011Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding
PLoS Computational Biology
7(1):1-8, 2011
01/03/2011
Learning Preferences with Millions of Parameters by Enforcing Sparsity
2010 IEEE International Conference on Data Mining (ICDM2010)
pp. 779-784
Xi Chen, Bing Bai, Yanjun Qi, Qihang Li, Jamie Carbonell
12/13/2010
Label Embedding Trees for Large Multi-Class Tasks
Advances in Neural Information Processing Systems (NIPS 2010)
Samy Bengio, Jason Weston, David Grangier
12/10/2010
Feature Set Embedding for Incomplete Data
Advances in Neural Information Processing Systems (NIPS 2010)
David Grangier, Iain Melvin
12/6/2010
Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction
ECML PKDD 2010, Part II, LNAI 63222
J.L. Balcazar et al. (Eds): pp. 128-144, Springer-Verlag Berlin Heidelberg 2010
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning
9/20/2010
A Programmable Parallel Accelerator for Learning and Classification
PACT 2010
pp. 273-283
Srihari Cadambi, Abhinandan Majumdar, Michela Becchi, Srimat T. Chakradhar, Hans Peter Graf
9/11/2010
Semi-Supervised Multi-Task Learning for Predicting Interaction Between HIV-1 and Human Proteins
Bioinformatics
Vol. 26 ECCB 2010, pp. i645-652, 2010
Yanjun Qi, Oznur Tastan, Jaime G. Carbonell, Judith Klein-Seetharaman, Jason Weston
8/16/2010
Anderson Localization Makes Adiabatic Quantum Optimization Fail
National Academy of Sciences of the United States of America
Vol. 107: 12446-12450, 2010
Boris Altshuler, Hari Krovi, Jeremie Roland
7/13/2010
Half Transductive Ranking
13th International Conference on Artificial Intelligence and Statistics
JMLR: W&CP 9:49-56, 2010
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri
5/13/2010
Towards Understanding Situated Natural Language
13th International Conference on Artificial Intelligence and Statistics
JMLR: W&CP 9:65-72, 2010
Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston
5/13/2010
Semi-Supervised Bio-Named Entity Recognition with Word-Codebook Learning
2010 SIAM International Conference on Data Mining
pp. 25-36, 2010 PDF
Pavel P. Kuksa, Yanjun Qi
4/29/2010
Polynomial Semantic Indexing
22nd Advances in Neural Information Processing Systems (NIPS 2009)
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri
12/7/2009
Semi-Supervised Sequence Labelling with Self-Learned Feature Class Pattern
IEEE International Conference on Data Mining
pp. 428-437, 2009
Yanjun Qi, Pavel P. Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston
12/6/2009
Combining Labeled and Unlabeled Data with Class-Distribution-Feature Learning
The 18th Conference on Information and Knowledge Management (CIKM 2009)
pp. 1737-1740
Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston
11/2/2009
Supervised Semantic Indexing
The 18th International Conference on Information and Knowledge Management (CIKM 2009)
pp. 187-196, 2009
Bing Bai, Jason Weston, David Grangier, Ronon Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Killian Weinberger
11/2/2009
Mitotic Index of Invasive Breast Carcinoma
Archives of Pathology and Laboratory Medicine
133(11): pp. 1826-1833, 2009
John S. Meyer, Eric Cosatto, Hans Peter Graf
11/1/2009
Learning to Rank with (a lot of) Word Features
Information Retrieval - Special Isue: Learning to Rank for Information Retrieval
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Weinberger
9/23/2009
A New Learning Paradigm: Learning Using Privileged Information
Neural Networks, Special Issue
Elsevier, Ltd; pp. 544-557
Vladimir Vapnik, Akshay Vashist
9/1/2009
Learning to Rank with Low Rank
SIGIR 2009 LR4IR Workshop
pp. 1-8, 2009
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Yanjun Qi, Kunihiko Sadamasa, Olivier Chapelle, Kilian Weinberger
7/23/2009
Erratum: SGDQN is Less Careful than Expected
Journal of Machine Learning Research
10: 1737-1754, 2009
Antoine Bordes, Leon Bottou, Patrick Gallinari
7/15/2009
A Massively Parallel Coprocessor for Convolutional Neural Networks
ASAP 2009
pp. 63-60
Murugan Sankaradas, Venkata Jakkula, Srihari Cadambi, Srimat T. Chakradhar, Igor Durdanovic, Eric Cosatto, Hans Peter Graf
7/7/2009
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent
Journal Of machine Learning Research
10: 1737-1754, 2009
Antoine Bordes, Leon Bottou, Patrick Gallinari
7/1/2009
Deep Learning from Temporal Coherence in Video
2009 International Conference on Machine Learning
Hossein Mobahi, Ronan Collobert, Jason Weston
6/15/2009
Curriculum Learning
The 26th International Conference on Machine Learning 2009
Yoshua Bengio, Jerome Louradour, Ronan Collobert, Jason Weston
6/14/2009
Learning Using Hidden Information (Learning with Teacher)
International Joint Conference on Neural Networks
pp. 3188-3195, 2009
Vladimir Vapnik, Akshay Vashist, Natalya Pavlovitch
6/14/2009
Supervised Semantic Indexing
ECIR 2009, Lecture Notes in Computer Science 5478
pp. 761-765, 2009, Springer-Verlag, Berlin
Bing Bai, Jason Weston, Ronan Collobert, David Grangier
4/29/2009
Improvements to the Percolator Algorithm for Peptide Identification from Shotgun Proteomics Data Sets
Journal of Proteome Research, 2009
American Chemical Society
Marina Spivak, Jason Weston, Leon Bottou, Lukas Kall, William Stafford Noble
4/23/2009
A Massively Parallel FPGA-based Coprocessor for Support Vector Machines
FCCM 2009
pp. 115-122, 2009
Srihari Cadambi, Igor Durdanovic, Venkata Jakkula, Murugan Sankaradas, Eric Cosatto, Srimat T. Chakradhar, Hans Peter Graf
4/5/2009