Shane Bergsma

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 10

Top Topics

Recurrent Neural Networks

Bandwidth Requirements

Top Venues

Canadian Conference on AI

Publications

Nolan Dey, Shane Bergsma, Joel Hestness
Sparse maximal update parameterization: A holistic approach to sparse training dynamics. CoRR (2024)
Shane Bergsma, Timothy Zeyl, Lei Guo
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting. NeurIPS (2023)
Shane Bergsma, Timothy Zeyl, Lei Guo
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting. CoRR (2023)
Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki, Lei Guo
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting. CoRR (2023)
Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki, Lei Guo
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting. NeurIPS (2022)
Nodir Kodirov, Shane Bergsma, Syed M. Iqbal, Alan J. Hu, Ivan Beschastnikh, Margo I. Seltzer
Gridiron: A Technique for Augmenting Cloud Workloads with Network Bandwidth Requirements. CoRR (2022)
Syed M. Iqbal, Haley Li, Shane Bergsma, Ivan Beschastnikh, Alan J. Hu
CoSpot: a cooperative VM allocation framework for increased revenue from spot instances. SoCC (2022)
Xiaodi Ke, Cong Guo, Siqi Ji, Shane Bergsma, Zhenhua Hu, Lei Guo
Fundy: A Scalable and Extensible Resource Manager for Cloud Resources. CLOUD (2021)
Shane Bergsma, Timothy Zeyl, Arik Senderovich, J. Christopher Beck
Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks. SOSP (2021)
Chen Chen, Xiaodi Ke, Timothy Zeyl, Kaixiang Du, Sam Sanjabi, Shane Bergsma, Reza Pournaghi, Chong Chen
Minimum Makespan Workflow Scheduling for Malleable Jobs with Precedence Constraints and Lifetime Resource Demands. ICDCS (2019)
Shane Bergsma, Regan L. Mandryk, Gordon McCalla
Learning to Measure Influence in a Scientific Social Network. Canadian Conference on AI (2014)
Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, Benjamin Van Durme
I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes. ACL (2) (2014)
Shane Bergsma, David Yarowsky
Learning Domain-Specific, L1-Specific Measures of Word Readability. Trait. Autom. des Langues 54 (1) (2013)
Shane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, David Yarowsky
Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. HLT-NAACL (2013)
Shane Bergsma, Benjamin Van Durme
Using Conceptual Class Attributes to Characterize Social Media Users. ACL (1) (2013)
Matt Post, Shane Bergsma
Explicit and Implicit Syntactic Features for Text Classification. ACL (2) (2013)
Shane Bergsma, Matt Post, David Yarowsky
Stylometric Analysis of Scientific Articles. HLT-NAACL (2012)
Shane Bergsma, David Yarowsky
NADA: A Robust System for Non-referential Pronoun Detection. DAARC (2011)
Colin Cherry, Shane Bergsma
Joint Training of Dependency Parsing Filters through Latent Support Vector Machines. ACL (2) (2011)
Shane Bergsma, Randy Goebel
Using Visual Information to Predict Lexical Preference. RANLP (2011)
Shane Bergsma, David Yarowsky, Kenneth Ward Church
Using Large Monolingual and Bilingual Corpora to Improve Coordination Disambiguation. ACL (2011)
Shane Bergsma, Benjamin Van Durme
Learning Bilingual Lexicons Using the Visual Similarity of Labeled Web Images. IJCAI (2011)
Randy Goebel, Shane Bergsma, Ying Xu, Christoph Ringlstetter, Mi-Young Kim
The nature of noise in linguistic corpora. AND (2010)
Shane Bergsma, Aditya Bhargava, Hua He, Grzegorz Kondrak
Predicting the Semantic Compositionality of Prefix Verbs. EMNLP (2010)
Sittichai Jiampojamarn, Kenneth Dwyer, Shane Bergsma, Aditya Bhargava, Qing Dou, Mi-Young Kim, Grzegorz Kondrak
Transliteration Generation and Mining with Limited Training Resources. NEWS@ACL (2010)
Shane Bergsma, Emily Pitler, Dekang Lin
Creating Robust Supervised Classifiers via Web-Scale N-Gram Data. ACL (2010)
Dekang Lin, Kenneth Ward Church, Heng Ji, Satoshi Sekine, David Yarowsky, Shane Bergsma, Kailash Patil, Emily Pitler, Rachel Lathbury, Vikram Rao, Kapil Dalwani, Sushant Narsale
New Tools for Web-Scale N-grams. LREC (2010)
Shane Bergsma, Colin Cherry
Fast and Accurate Arc Filtering for Dependency Parsing. COLING (2010)
Shane Bergsma, Dekang Lin, Dale Schuurmans
Improved Natural Language Learning via Variance-Regularization Support Vector Machines. CoNLL (2010)
Emily Pitler, Shane Bergsma, Dekang Lin, Kenneth Ward Church
Using Web-scale N-grams to Improve Base NP Parsing Performance. COLING (2010)
Shane Bergsma, Dekang Lin, Randy Goebel
Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender. CoNLL (2009)
Qing Dou, Shane Bergsma, Sittichai Jiampojamarn, Grzegorz Kondrak
A Ranking Approach to Stress Prediction for Letter-to-Phoneme Conversion. ACL/IJCNLP (2009)
Shane Bergsma, Dekang Lin, Randy Goebel
Web-Scale N-gram Models for Lexical Disambiguation. IJCAI (2009)
Shane Bergsma, Dekang Lin, Randy Goebel
Discriminative Learning of Selectional Preference from Unlabeled Text. EMNLP (2008)
Shane Bergsma, Dekang Lin, Randy Goebel
Distributional Identification of Non-Referential Pronouns. ACL (2008)
Shane Bergsma, Qin Iris Wang
Learning Noun Phrase Query Segmentation. EMNLP-CoNLL (2007)
Shane Bergsma, Grzegorz Kondrak
Alignment-Based Discriminative String Similarity. ACL (2007)
Christopher Pinchak, Shane Bergsma
Automatic Answer Typing for How-Questions. HLT-NAACL (2007)
Shane Bergsma, Dekang Lin
Bootstrapping Path-Based Pronoun Resolution. ACL (2006)
Colin Cherry, Shane Bergsma
An Expectation Maximization Approach to Pronoun Resolution. CoNLL (2005)
Shane Bergsma
Automatic Acquisition of Gender Information for Anaphora Resolution. Canadian Conference on AI (2005)