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• On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models

  Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu

  5272-5280

  2020-04-03

• Brain-Mediated Transfer Learning of Convolutional Neural Networks

  Satoshi Nishida, Yusuke Nakano, Antoine Blanc, Naoya Maeda, Masataka Kado, Shinji Nishimoto

  5281-5288

  2020-04-03

• Maximum Likelihood Embedding of Logistic Random Dot Product Graphs

  Luke J. O'Connor, Muriel Medard, Soheil Feizi

  5289-5297

  2020-04-03

• Radial and Directional Posteriors for Bayesian Deep Learning

  Changyong Oh, Kamil Adamczewski, Mijung Park

  5298-5305

  2020-04-03

• Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces

  Takamasa Okudono, Masaki Waga, Taro Sekiyama, Ichiro Hasuo

  5306-5314

  2020-04-03

• Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data

  Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang

  5315-5322

  2020-04-03

• Uncorrected Least-Squares Temporal Difference with Lambda-Return

  Takayuki Osogami

  5323-5330

  2020-04-03

• Linear Bandits with Feature Feedback

  Urvashi Oswal, Aniruddha Bhargava, Robert Nowak

  5331-5338

  2020-04-03

• Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control

  Inyoung Paik, Sangjun Oh, Taeyeong Kwak, Injung Kim

  5339-5346

  2020-04-03

• Adversarial Localized Energy Network for Structured Prediction

  Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang

  5347-5354

  2020-04-03

• Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

  Fabio Pardo, Vitaly Levdik, Petar Kormushev

  5355-5362

  2020-04-03

• EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

  Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao Schardl, Charles Leiserson

  5363-5370

  2020-04-03

• Unsupervised Attributed Multiplex Network Embedding

  Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu

  5371-5378

  2020-04-03

• Achieving Fairness in the Stochastic Multi-Armed Bandit Problem

  Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari

  5379-5386

  2020-04-03

• Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification

  Hao Peng, Jianxin Li, Qiran Gong, Yuanxin Ning, Senzhang Wang, Lifang He

  5387-5394

  2020-04-03

• A Bayesian Approach for Estimating Causal Effects from Observational Data

  Johan Pensar, Topi Talvitie, Antti Hyttinen, Mikko Koivisto

  5395-5402

  2020-04-03

• Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials

  Christian Perez, Felipe Petroski Such, Theofanis Karaletsos

  5403-5411

  2020-04-03

• CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator

  Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan

  5412-5419

  2020-04-03

• Diversified Bayesian Nonnegative Matrix Factorization

  Qiao Maoying, Yu Jun, Liu Tongliang, Wang Xinchao, Tao Dacheng

  5420-5427

  2020-04-03

• Stochastic Approximate Gradient Descent via the Langevin Algorithm

  Yixuan Qiu, Xiao Wang

  5428-5435

  2020-04-03

• Temporal Network Embedding with High-Order Nonlinear Information

  Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia

  5436-5443

  2020-04-03

• A New Burrows Wheeler Transform Markov Distance

  Edward Raff, Charles Nicholas, Mark McLean

  5444-5453

  2020-04-03

• How Should an Agent Practice?

  Janarthanan Rajendran, Richard Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh

  5454-5461

  2020-04-03

• Synthesizing Action Sequences for Modifying Model Decisions

  Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi

  5462-5469

  2020-04-03

• ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

  Ekagra Ranjan, Soumya Sanyal, Partha Talukdar

  5470-5477

  2020-04-03