Felix X. Yu

Michael Riley

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Federated Learning with Only Positive Labels.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Pre-training Tasks for Embedding-based Large-scale Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Semantic Label Smoothing for Sequence to Sequence Problems.

[BibT_eX]

[DOI]

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

2019

Advances and Open Problems in Federated Learning.

[BibT_eX]

[DOI]

Rafael G. L. D'Oliveira

CoRR, 2019

AdaCliP: Adaptive Clipping for Private SGD.

[BibT_eX]

[DOI]

Venkatadheeraj Pichapati

Sashank J. Reddi

CoRR, 2019

Sampled Softmax with Random Fourier Features.

[BibT_eX]

[DOI]

Ankit Singh Rawat

Jiecao Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling.

[BibT_eX]

[DOI]

Dmitry Storcheus

Afshin Rostamizadeh

Proceedings of the 36th International Conference on Machine Learning, 2019

Stochastic Negative Mining for Learning with Large Output Spaces.

[BibT_eX]

[DOI]

Sashank J. Reddi

Satyen Kale

Jiecao Chen

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

2018

Heated-Up Softmax Embedding.

[BibT_eX]

[DOI]

CoRR, 2018

The Sparse Recovery Autoencoder.

[BibT_eX]

[DOI]

Shanshan Wu

Alexandros G. Dimakis

Sujay Sanghavi

Dmitry Storcheus

Afshin Rostamizadeh

CoRR, 2018

cpSGD: Communication-efficient and differentially-private distributed SGD.

[BibT_eX]

[DOI]

Naman Agarwal

Brendan McMahan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Loss Decomposition for Fast Learning in Large Output Spaces.

[BibT_eX]

[DOI]

Ian En-Hsu Yen

Satyen Kale

Pradeep Ravikumar

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

2017

On Binary Embedding using Circulant Matrices.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Multiscale Quantization for Fast Similarity Search.

[BibT_eX]

[DOI]

Xiang Wu

Ruiqi Guo

Daniel N. Holtmann-Rice

David Simcha

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

Distributed Mean Estimation with Limited Communication.

[BibT_eX]

[DOI]

H. Brendan McMahan

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Spread-Out Local Feature Descriptors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Discriminative and Transformation Covariant Local Feature Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Lattice rescoring strategies for long short term memory language models in speech recognition.

[BibT_eX]

[DOI]

Shankar Kumar

Michael Nirschl

Hank Liao

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Federated Learning: Strategies for Improving Communication Efficiency.

[BibT_eX]

[DOI]

Dave Bacon

CoRR, 2016

Orthogonal Random Features.

[BibT_eX]

[DOI]

Krzysztof Marcin Choromanski

Daniel N. Holtmann-Rice

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Tamp: A Library for Compact Deep Neural Networks with Structured Matrices.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015

Deep Transfer Network: Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2015

Compact Nonlinear Maps and Circulant Extensions.

[BibT_eX]

[DOI]

CoRR, 2015

Fast Neural Networks with Circulant Projections.

[BibT_eX]

[DOI]

Yu Cheng

Alok N. Choudhary

CoRR, 2015

Spherical Random Features for Polynomial Kernels.

[BibT_eX]

[DOI]

Jeffrey Pennington

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fast Orthogonal Projection Based on Kronecker Product.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections.

[BibT_eX]

[DOI]

Yu Cheng

Alok N. Choudhary

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Fast Binary Embedding for High-Dimensional Data.

[BibT_eX]

[DOI]

Yunchao Gong

Proceedings of the Multimedia Data Mining and Analytics - Disruptive Innovation, 2015

2014

On Learning with Label Proportions.

[BibT_eX]

[DOI]

CoRR, 2014

Modeling Attributes from Category-Attribute Proportions.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Object-Based Visual Sentiment Concept Analysis and Application.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Minimally Needed Evidence for Complex Event Recognition in Unconstrained Videos.

[BibT_eX]

[DOI]

Subhabrata Bhattacharya

Proceedings of the International Conference on Multimedia Retrieval, 2014

Circulant Binary Embedding.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Video Event Detection by Inferring Temporal Instance Labels.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems.

[BibT_eX]

[DOI]

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

\(\propto\)SVM for Learning with Label Proportions.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Designing Category-Level Attributes for Discriminative Visual Recognition.

[BibT_eX]

[DOI]

Liangliang Cao

John R. Smith