Supervised Transfer Sparse Coding. - Maruan Al-Shedivat; Jim Jing-Yan Wang; Majed Alzahrani; Jianhua Z. Huang; Xin Gao 001 (AAAI, 2014)

Inherently stochastic spiking neurons for probabilistic neural computation. - Maruan Al-Shedivat; Rawan Naous; Emre Neftci; Gert Cauwenberghs; Khaled N. Salama (NER, 2015)

Learning Non-deterministic Representations with Energy-based Ensembles. - Maruan Al-Shedivat; Emre Neftci; Gert Cauwenberghs (ICLR (Workshop), 2015)

Unsupervised Learning in Synaptic Sampling Machines. - Emre Neftci; Bruno U. Pedroni; Siddharth Joshi 001; Maruan Al-Shedivat; Gert Cauwenberghs (CoRR, 2015)

Memristors Empower Spiking Neurons With Stochasticity. - Maruan Al-Shedivat; Rawan Naous; Gert Cauwenberghs; Khaled Nabil Salama (IEEE J. Emerg. Sel. Topics Circuits Syst., 2015)

ADIOS: Architectures Deep In Output Space. - Moustapha Cissé; Maruan Al-Shedivat; Samy Bengio (ICML, 2016)

Stochastic synaptic plasticity with memristor crossbar arrays. - Rawan Naous; Maruan Al-Shedivat; Emre Neftci; Gert Cauwenberghs; Khaled Nabil Salama (ISCAS, 2016)

Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices. - Kirthevasan Kandasamy; Maruan Al-Shedivat; Eric P. Xing (NIPS, 2016)

Learning Scalable Deep Kernels with Recurrent Structure. - Maruan Al-Shedivat; Andrew Gordon Wilson; Yunus Saatchi; Zhiting Hu; Eric P. Xing (J. Mach. Learn. Res., 2017)

Learning with Opponent-Learning Awareness. - Jakob N. Foerster; Richard Y. Chen; Maruan Al-Shedivat; Shimon Whiteson; Pieter Abbeel; Igor Mordatch (AAMAS, 2018)

Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs. - Aditya Grover; Maruan Al-Shedivat; Jayesh K. Gupta; Yuri Burda; Harrison Edwards (AAMAS, 2018)

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. - Maruan Al-Shedivat; Trapit Bansal; Yura Burda; Ilya Sutskever; Igor Mordatch; Pieter Abbeel (ICLR, 2018)

DiCE: The Infinitely Differentiable Monte Carlo Estimator. - Jakob N. Foerster; Gregory Farquhar; Maruan Al-Shedivat; Tim Rocktäschel; Eric P. Xing; Shimon Whiteson (ICML, 2018)

Learning Policy Representations in Multiagent Systems. - Aditya Grover; Maruan Al-Shedivat; Jayesh K. Gupta; Yuri Burda; Harrison Edwards (ICML, 2018)

The Intriguing Properties of Model Explanations. - Maruan Al-Shedivat; Avinava Dubey; Eric P. Xing (CoRR, 2018)

Personalized Survival Prediction with Contextual Explanation Networks. - Maruan Al-Shedivat; Avinava Dubey; Eric P. Xing (CoRR, 2018)

On the Complexity of Exploration in Goal-Driven Navigation. - Maruan Al-Shedivat; Lisa Lee; Ruslan Salakhutdinov; Eric P. Xing (CoRR, 2018)

A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs. - Jingkai Mao; Jakob N. Foerster; Tim Rocktäschel; Maruan Al-Shedivat; Gregory Farquhar; Shimon Whiteson (ICML, 2019)

Consistency by Agreement in Zero-Shot Neural Machine Translation. - Maruan Al-Shedivat; Ankur P. Parikh (NAACL-HLT (1), 2019)

Regularizing Black-box Models for Improved Interpretability. - Gregory Plumb; Maruan Al-Shedivat; Eric P. Xing; Ameet Talwalkar (CoRR, 2019)

Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version). - Gregory Plumb; Maruan Al-Shedivat; Eric P. Xing; Ameet Talwalkar (CoRR, 2019)

Regularizing Black-box Models for Improved Interpretability. - Gregory Plumb; Maruan Al-Shedivat; Ángel Alexander Cabrera; Adam Perer; Eric P. Xing; Ameet Talwalkar (NeurIPS, 2020)

Learning from Imperfect Annotations. - Emmanouil Antonios Platanios; Maruan Al-Shedivat; Eric P. Xing; Tom M. Mitchell (CoRR, 2020)

Progressive Generation of Long Text. - Bowen Tan; Zichao Yang; Maruan Al-Shedivat; Eric P. Xing; Zhiting Hu (CoRR, 2020)

Contextual Explanation Networks. - Maruan Al-Shedivat; Avinava Dubey; Eric P. Xing (J. Mach. Learn. Res., 2020)

On Data Efficiency of Meta-learning. - Maruan Al-Shedivat; Liam Li; Eric P. Xing; Ameet Talwalkar (AISTATS, 2021)

Knowledge-Aware Meta-learning for Low-Resource Text Classification. - Huaxiu Yao; Yingxin Wu 001; Maruan Al-Shedivat; Eric P. Xing (EMNLP (1), 2021)

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms. - Maruan Al-Shedivat; Jennifer Gillenwater; Eric P. Xing; Afshin Rostamizadeh (ICLR, 2021)

Progressive Generation of Long Text with Pretrained Language Models. - Bowen Tan; Zichao Yang; Maruan Al-Shedivat; Eric P. Xing; Zhiting Hu (NAACL-HLT, 2021)

A Field Guide to Federated Optimization. - Jianyu Wang; Zachary Charles; Zheng Xu 002; Gauri Joshi; H. Brendan McMahan; Blaise Agüera y Arcas; Maruan Al-Shedivat; Galen Andrew; Salman Avestimehr; Katharine Daly; Deepesh Data; Suhas N. Diggavi; et al. (CoRR, 2021)

Principles of Learning in Multitask Settings: A Probabilistic Perspective. - Maruan Al-Shedivat (2022)