Alert button
Picture for Richard G. Baraniuk

Richard G. Baraniuk

Alert button

MomentumRNN: Integrating Momentum into Recurrent Neural Networks

Jun 12, 2020
Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang

Figure 1 for MomentumRNN: Integrating Momentum into Recurrent Neural Networks
Figure 2 for MomentumRNN: Integrating Momentum into Recurrent Neural Networks
Figure 3 for MomentumRNN: Integrating Momentum into Recurrent Neural Networks
Figure 4 for MomentumRNN: Integrating Momentum into Recurrent Neural Networks
Viaarxiv icon

Attention Word Embedding

Jun 01, 2020
Shashank Sonkar, Andrew E. Waters, Richard G. Baraniuk

Figure 1 for Attention Word Embedding
Figure 2 for Attention Word Embedding
Figure 3 for Attention Word Embedding
Figure 4 for Attention Word Embedding
Viaarxiv icon

qDKT: Question-centric Deep Knowledge Tracing

May 25, 2020
Shashank Sonkar, Andrew E. Waters, Andrew S. Lan, Phillip J. Grimaldi, Richard G. Baraniuk

Figure 1 for qDKT: Question-centric Deep Knowledge Tracing
Figure 2 for qDKT: Question-centric Deep Knowledge Tracing
Figure 3 for qDKT: Question-centric Deep Knowledge Tracing
Figure 4 for qDKT: Question-centric Deep Knowledge Tracing
Viaarxiv icon

Deep Learning Techniques for Inverse Problems in Imaging

May 12, 2020
Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett

Figure 1 for Deep Learning Techniques for Inverse Problems in Imaging
Figure 2 for Deep Learning Techniques for Inverse Problems in Imaging
Figure 3 for Deep Learning Techniques for Inverse Problems in Imaging
Figure 4 for Deep Learning Techniques for Inverse Problems in Imaging
Viaarxiv icon

Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors

Feb 25, 2020
Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard G. Baraniuk

Figure 1 for Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Figure 2 for Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Figure 3 for Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Figure 4 for Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Viaarxiv icon

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent

Feb 24, 2020
Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher

Figure 1 for Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
Figure 2 for Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
Figure 3 for Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
Figure 4 for Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
Viaarxiv icon

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers

Dec 09, 2019
Tan M. Nguyen, Animesh Garg, Richard G. Baraniuk, Anima Anandkumar

Figure 1 for InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
Figure 2 for InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
Figure 3 for InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
Figure 4 for InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers
Viaarxiv icon

The Implicit Regularization of Ordinary Least Squares Ensembles

Oct 10, 2019
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk

Figure 1 for The Implicit Regularization of Ordinary Least Squares Ensembles
Figure 2 for The Implicit Regularization of Ordinary Least Squares Ensembles
Figure 3 for The Implicit Regularization of Ordinary Least Squares Ensembles
Figure 4 for The Implicit Regularization of Ordinary Least Squares Ensembles
Viaarxiv icon

Drawing early-bird tickets: Towards more efficient training of deep networks

Sep 26, 2019
Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Yingyan Lin, Zhangyang Wang, Richard G. Baraniuk

Figure 1 for Drawing early-bird tickets: Towards more efficient training of deep networks
Figure 2 for Drawing early-bird tickets: Towards more efficient training of deep networks
Figure 3 for Drawing early-bird tickets: Towards more efficient training of deep networks
Figure 4 for Drawing early-bird tickets: Towards more efficient training of deep networks
Viaarxiv icon

Out-of-Distribution Detection Using Neural Rendering Generative Models

Jul 10, 2019
Yujia Huang, Sihui Dai, Tan Nguyen, Richard G. Baraniuk, Anima Anandkumar

Figure 1 for Out-of-Distribution Detection Using Neural Rendering Generative Models
Figure 2 for Out-of-Distribution Detection Using Neural Rendering Generative Models
Figure 3 for Out-of-Distribution Detection Using Neural Rendering Generative Models
Figure 4 for Out-of-Distribution Detection Using Neural Rendering Generative Models
Viaarxiv icon