* denotes co-first author
Composing Task Knowledge With Modular Successor Feature Approximators
Wilka Carvalho,
Angelos Filos,
Richard L. Lewis,
Honglak Lee,
Satinder Singh
ICLR, 2023
NeurIPS Deep RL Workshop, 2022
Learning Compositional Tasks from Language Instructions
Lajanugen Logeswaran,
Wilka Carvalho,
Honglak Lee
AAAI, 2023
NeurIPS Deep RL Workshop, 2021
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning
Wilka Carvalho,
Andrew Lampinen
Kyriacos Nikiforou,
Felix Hill,
Murray Shanahan
TMLR, 2023
ICML {Unsupervised RL, Real Life RL} Workshops, 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang,
Sungryull Sohn,
Jongwook Choi,
Wilka Carvalho,
Honglak Lee
NeurIPS, 2021
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments
Wilka Carvalho,
Anthony Liang,
Kimin Lee,
Sungryull Sohn,
Honglak Lee,
Richard L. Lewis,
Satinder Singh
IJCAI, 2021
ICML Object-Oriented Learning Workshop, 2020
NeurIPS Deep RL Workshop, 2020
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy and Biplav Srivastava
Artificial Intelligence Safety Workshop @ AAAI,
2019
Variational Recurrent Adversarial Deep Domain Adaptation
Sanjay Purushotham*, Wilka Carvalho*, and Yan Liu
ICLR,
2017
NeurIPS Machine Learning for Healthcare,
2016
