Misha Denil
20 papers · 2013–2024 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Renaissance Researcher (7) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Academic Marathon
(11)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π€
Dynamic Duo
(13)
π±
Topic Pioneer
π
Century Club
(20)
π
Trend Setter
π₯
Unstoppable
(9)
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Conference Pioneer
ποΈ
Keyword Collector
(77)
Conferences
ICML (6)
ICLR (4)
NIPS (4)
CORL (3)
ICCV (1)
INTERSPEECH (1)
RSS (1)
Top co-authors
Keywords
gradient descent
(3)
model compression
(2)
graphical model
(2)
reward learning
(2)
neural network optimization
(2)
reinforcement learning
(2)
bayesian optimization
(2)
markov random field
(2)
random forest
(2)
offline reinforcement learning
(1)
policy gradient
(1)
black-box optimization
(1)
parameter estimation
(1)
network pruning
(1)
reward modeling
(1)
robotic manipulation
(1)
continuous control
(1)
policy optimization
(1)
off-policy evaluation
(1)
simulated annealing
(1)
Papers
$\pi$2vec: Policy Representation with Successor Features
ICLR 2024
Active Offline Policy Selection
NIPS 2021
Scaling data-driven robotics with reward sketching and batch reinforcement learning
RSS 2020
Positive-Unlabeled Reward Learning
CORL 2020
Task-Relevant Adversarial Imitation Learning
CORL 2020
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
ICLR 2020
Hyperbolic Attention Networks
ICLR 2019
Large-Scale Visual Speech Recognition
INTERSPEECH 2019
Learning Awareness Models
ICLR 2018
Learned Optimizers that Scale and Generalize
ICML 2017
Learning to Learn without Gradient Descent by Gradient Descent
ICML 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CORL 2017
Noisy Activation Functions
ICML 2016
Learning to learn by gradient descent by gradient descent
NIPS 2016
Deep Fried Convnets
ICCV 2015
Distributed Parameter Estimation in Probabilistic Graphical Models
NIPS 2014
Narrowing the Gap: Random Forests In Theory and In Practice
ICML 2014
Linear and Parallel Learning of Markov Random Fields
ICML 2014
Predicting Parameters in Deep Learning
NIPS 2013
Consistency of Online Random Forests
ICML 2013