235 citations
- University of Illinois Urbana-ChampaignUS22 papers
- National Center for Supercomputing ApplicationsUS10 papers
- Georgia Institute of TechnologyUS3 papers
- Illinois CollegeUS2 papers
- Microsoft (United States)US2 papers
- Princeton UniversityUS2 papers
- The University of Texas at AustinUS2 papers
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5 papers · 1 filter
Boosting the Actor with Dual Critic
Bo Dai, Albert Shaw, Niao He +2
This paper proposes a new actor-critic-style algorithm called Dual Actor-Critic or Dual-AC. It is derived in a principled way from the Lagrangian dual form of the Bellman optimalit…
High-Order Attention Models for Visual Question Answering
Idan Schwartz, Alexander G. Schwing, Tamir Hazan
The quest for algorithms that enable cognitive abilities is an important part of machine learning. A common trait in many recently investigated cognitive-like tasks is that they ta…
Dilated Recurrent Neural Networks
Shiyu Chang, Yang Zhang, Wei Han +7
Learning with recurrent neural networks (RNNs) on long sequences is a notoriously difficult task. There are three major challenges: 1) complex dependencies, 2) vanishing and explod…
How regularization affects the critical points in linear networks
Amirhossein Taghvaei, Jin W. Kim, Prashant G. Mehta
This paper is concerned with the problem of representing and learning a linear transformation using a linear neural network. In recent years, there has been a growing interest in t…
A Controlled Particle Filter for Global Optimization
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
A particle filter is introduced to numerically approximate a solution of the global optimization problem. The theoretical significance of this work comes from its variational aspec…