Yanjun Qi

CoRR, 2023

PGrad: Learning Principal Gradients For Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Estimating and Maximizing Mutual Information for Knowledge Distillation.

[BibT_eX]

[DOI]

Aman Shrivastava

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Building a Robust Toxicity Predictor.

[BibT_eX]

[DOI]

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Improving Interpretability via Explicit Word Interaction Graph Layer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2022

Launchpad: Learning to Schedule Using Offline and Online RL Methods.

[BibT_eX]

[DOI]

Vanamala Venkataswamy

Andrew Grimshaw

CoRR, 2022

On the Transferability of Visual Features in Generalized Zero-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2022

ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

White-box Testing of NLP models with Mask Neuron Coverage.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

RARE: Renewable Energy Aware Resource Management in Datacenters.

[BibT_eX]

[DOI]

Vanamala Venkataswamy

Andrew Grimshaw

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2022

Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets.

[BibT_eX]

[DOI]

CoRR, 2021

Long-Range Transformers for Dynamic Spatiotemporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Automatic Actor-Critic Solutions to Continuous Control.

[BibT_eX]

[DOI]

Jin Yong Yoo

CoRR, 2021

Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Improving Adversarial Training of NLP Models.

[BibT_eX]

[DOI]

Jin Yong Yoo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

General Multi-Label Image Classification With Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Evolving Image Compositions for Feature Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

Transfer learning for predicting virus-host protein interactions for novel virus sequences.

[BibT_eX]

[DOI]

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Fuwen Tan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Measuring Visual Generalization in Continuous Control from Pixels.

[BibT_eX]

[DOI]

CoRR, 2020

TextAttack: Lessons learned in designing Python frameworks for NLP.

[BibT_eX]

[DOI]

John X. Morris

Jin Yong Yoo

CoRR, 2020

TextAttack: A Framework for Adversarial Attacks in Natural Language Processing.

[BibT_eX]

[DOI]

CoRR, 2020

Differential Network Learning Beyond Data Samples.

[BibT_eX]

[DOI]

CoRR, 2020

Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Fuwen Tan

CoRR, 2020

TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Reevaluating Adversarial Examples in Natural Language.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019

Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Neural Message Passing for Multi-label Classification.

[BibT_eX]

[DOI]

Jack Lanchantin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.

[BibT_eX]

[DOI]

Bioinform., 2018

Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.

[BibT_eX]

[DOI]

Weilin Xu

David Evans

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

ACM-BCB'18 Tutorial: Making Deep Learning Understandable for Analyzing Sequential Data about Gene Regulation.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification.

[BibT_eX]

[DOI]

CoRR, 2017

A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs.

[BibT_eX]

[DOI]

Chandan Singh

CoRR, 2017

Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples.

[BibT_eX]

[DOI]

Weilin Xu

David Evans

CoRR, 2017

Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation.

[BibT_eX]

[DOI]

Andrew P. Norton

CoRR, 2017

DeepMask: Masking DNN Models for robustness against adversarial samples.

[BibT_eX]

[DOI]

CoRR, 2017

Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently.

[BibT_eX]

[DOI]

Muthuraman Chidambaram

CoRR, 2017

Adversarial-Playground: A visualization suite showing how adversarial examples fool deep learning.

[BibT_eX]

[DOI]

Andrew P. Norton

Proceedings of the 14th IEEE Symposium on Visualization for Cyber Security, 2017

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

GaKCo: A Fast Gapped k-mer String Kernel Using Counting.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Memory Matching Networks for Genomic Sequence Classification.

[BibT_eX]

[DOI]

Jack Lanchantin

Proceedings of the 5th International Conference on Learning Representations, 2017

DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

Causality Analysis of Inertial Body Sensors for Multiple Sclerosis Diagnostic Enhancement.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2016

Piecewise Linear Dynamical Model for Action Clustering from Real-World Deployments of Inertial Body Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2016

A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models.

[BibT_eX]

[DOI]

CoRR, 2016

A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.

[BibT_eX]

[DOI]

CoRR, 2016

Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Deep Motif: Visualizing Genomic Sequence Classifications.

[BibT_eX]

[DOI]

CoRR, 2016

DeepChrome: deep-learning for predicting gene expression from histone modifications.

[BibT_eX]

[DOI]

Bioinform., 2016

Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers.

[BibT_eX]

[DOI]

Weilin Xu

David Evans

Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

Character based String Kernels for Bio-Entity Relation Detection.

[BibT_eX]

[DOI]

Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction.

[BibT_eX]

[DOI]

Zeming Lin

Jack Lanchantin

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015

Refining Literature Curated Protein Interactions Using Expert Opinions.

[BibT_eX]

[DOI]

Öznur Tastan

Jaime G. Carbonell

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Association Rule Mining with the Micron Automata Processor.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction.

[BibT_eX]

[DOI]

Sarah Masud Preum

John A. Stankovic

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

2014

Unsupervised Feature Learning by Deep Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Extracting Researcher Metadata with Labeled Features.

[BibT_eX]

[DOI]

Sujatha Das Gollapalli

Prasenjit Mitra

C. Lee Giles

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

An Integrated Approach To Blood-Based Cancer Diagnosis And Biomarker Discovery.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Deep Learning for Character-Based Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2014

Piecewise Linear Dynamical Model for Actions Clustering from Inertial Body Sensors with Considerations of Human Factors.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Body Area Networks, 2014

2012

Retrieving Medical Records with "sennamed": NEC Labs America at TREC 2012 Medical Record Track.

[BibT_eX]

[DOI]

Pierre-François Laquerre

Proceedings of The Twenty-First Text REtrieval Conference, 2012

Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method.

[BibT_eX]

[DOI]

Ilia Nouretdinov

Alex Gammerman

Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

Sentiment Classification with Supervised Sequence Embedding.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning the Dependency Structure of Latent Factors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Large-scale image classification using supervised spatial encoder.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Semi-Supervised Convolution Graph Kernels for Relation Extraction.

[BibT_eX]

[DOI]

Xia Ning

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Sparse Latent Semantic Analysis.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Sentiment classification based on supervised latent n-gram analysis.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction.

[BibT_eX]

[DOI]

William Stafford Noble

Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010

Learning to rank with (a lot of) word features.

[BibT_eX]

[DOI]

Inf. Retr., 2010

Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins.

[BibT_eX]

[DOI]

Öznur Tastan

Jaime G. Carbonell

Jason Weston

Bioinform., 2010

Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning.

[BibT_eX]

[DOI]

Pavel P. Kuksa

Proceedings of the SIAM International Conference on Data Mining, 2010

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning Preferences with Millions of Parameters by Enforcing Sparsity.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

2009

Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration.

[BibT_eX]

[DOI]

Öznur Tastan

Jaime G. Carbonell