Shihao Ji

IEEE Trans. Knowl. Data Eng., 2023

MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification.

[BibT_eX]

[DOI]

Hui Ye

Rajshekhar Sunderraman

CoRR, 2023

M-EBM: Towards Understanding the Manifolds of Energy-Based Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

FLSL: Feature-level Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Bridging the Performance Gaps of Joint Energy-Based Models.

[BibT_eX]

[DOI]

Qing Su

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

2022

Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence.

[BibT_eX]

[DOI]

CoRR, 2022

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2022

ChiTransformer: Towards Reliable Stereo from Cues.

[BibT_eX]

[DOI]

Qing Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

APSNet: Attention Based Point Cloud Sampling.

[BibT_eX]

[DOI]

Yang Ye

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Adversarial Privacy-Preserving Graph Embedding Against Inference Attack.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection.

[BibT_eX]

[DOI]

CoRR, 2021

Human Activity Recognition from RGB Video Streams Using 1D-CNNs.

[BibT_eX]

[DOI]

Sivanvita Srimath

Yang Ye

Krishanu Sarker

Rajshekhar Sunderraman

Proceedings of the 2021 IEEE SmartWorld, 2021

Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Dep-L0: Improving L0-Based Network Sparsification via Dependency Modeling.

[BibT_eX]

[DOI]

Yang Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Neural Plasticity Networks.

[BibT_eX]

[DOI]

Yang Li

Proceedings of the International Joint Conference on Neural Networks, 2021

A Unified Density-Driven Framework For Effective Data Denoising And Robust Abstention.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

JEM++: Improved Techniques for Training JEM.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Text-to-Image Synthesis Using Contrastive Learning.

[BibT_eX]

[DOI]

Hui Ye

Martin Takác

Rajshekhar Sunderraman

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

Generative Dynamic Patch Attack.

[BibT_eX]

[DOI]

Xiang Li

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

2020

A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Image Compression and Explanation.

[BibT_eX]

[DOI]

Xiang Li

IEEE Access, 2020

Learning with Multiplicative Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Parallelizing Word2Vec in Shared and Distributed Memory.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

L0-ARM: Network Sparsification via Stochastic Binary Optimization.

[BibT_eX]

[DOI]

Yang Li

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

Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks.

[BibT_eX]

[DOI]

Xiang Li

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

Toward Filament Segmentation Using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.

[BibT_eX]

[DOI]

S. V. N. Vishwanathan

Inderjit S. Dhillon

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2016

BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies.

[BibT_eX]

[DOI]

S. V. N. Vishwanathan

Nadathur Satish

Michael J. Anderson

Pradeep Dubey

Proceedings of the 4th International Conference on Learning Representations, 2016

Parallelizing Word2Vec in Multi-Core and Many-Core Architectures.

[BibT_eX]

[DOI]

CoRR, 2016

WordRank: Learning Word Embeddings via Robust Ranking.

[BibT_eX]

[DOI]

S. V. N. Vishwanathan

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2011

Intent-based diversification of web search results: metrics and algorithms.

[BibT_eX]

[DOI]

Inf. Retr., 2011

2010

User behavior driven ranking without editorial judgments.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Multitask Compressive Sensing.

[BibT_eX]

[DOI]

David B. Dunson

IEEE Trans. Signal Process., 2009

Semisupervised Learning of Hidden Markov Models via a Homotopy Method.

[BibT_eX]

[DOI]

Layne T. Watson

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Comparing both relevance and robustness in selection of web ranking functions.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Global ranking by exploiting user clicks.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Empirical Exploitation of Click Data for Task Specific Ranking.

[BibT_eX]

[DOI]

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Incorporating robustness into web ranking evaluation.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Bayesian Compressive Sensing.

[BibT_eX]

[DOI]

Ya Xue

IEEE Trans. Signal Process., 2008

Multitask Classification by Learning the Task Relevance.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2008

2007

Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes.

[BibT_eX]

[DOI]

Ronald Parr

IEEE Trans. Signal Process., 2007

Adaptive Multimodality Sensing of Landmines.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2007

Cost-sensitive feature acquisition and classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2007

Bayesian compressive sensing and projection optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Point-Based Policy Iteration.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning.

[BibT_eX]

[DOI]

Balaji Krishnapuram

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis.

[BibT_eX]

[DOI]

Nilanjan Dasgupta

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004

Adaptive multi-aspect target classification and detection with hidden Markov models.

[BibT_eX]

[DOI]

Xuejun Liao