Maruan Al-Shedivat
14 papers · 2016–2021 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(78)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(10)
Core Methods
(6)
Learning Paradigms · Artificial Intelligence
(6)
Core AI
(5)
Learning Types
(5)
Learning Paradigms · Machine Learning
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Reinforcement Learning
(3)
Methods
(3)
Applications
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Keywords
stochastic computation graph
(2)
neural network
(2)
domain adaptation
(2)
federated learning
(2)
representation learning
(2)
gradient estimation
(2)
imitation learning
(1)
few-shot learning
(1)
unsupervised learning
(1)
text classification
(1)
probabilistic inference
(1)
multilingual translation
(1)
multi-label classification
(1)
distributed learning
(1)
bayesian inference
(1)
automatic differentiation
(1)
continuous adaptation
(1)
explanation generation
(1)
interpretable machine learning
(1)
transfer learning
(1)
Papers
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
ICLR 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification
EMNLP 2021
On Data Efficiency of Meta-learning
AISTATS 2021
Progressive Generation of Long Text with Pretrained Language Models
NAACL 2021
Contextual Explanation Networks
JMLR 2020
Regularizing Black-box Models for Improved Interpretability
NeurIPS 2020
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
ICML 2019
Consistency by Agreement in Zero-Shot Neural Machine Translation
NAACL 2019
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
ICLR 2018
DiCE: The Infinitely Differentiable Monte Carlo Estimator
ICML 2018
Learning Policy Representations in Multiagent Systems
ICML 2018
Learning Scalable Deep Kernels with Recurrent Structure
JMLR 2017
ADIOS: Architectures Deep In Output Space
ICML 2016
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices
NeurIPS 2016