Kenneth Marino

According to our database1, Kenneth Marino authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction.
CoRR, 2024

ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights.
CoRR, 2024

2023
Collaborating with language models for embodied reasoning.
CoRR, 2023

Distilling Internet-Scale Vision-Language Models into Embodied Agents.
Proceedings of the International Conference on Machine Learning, 2023

2022
Towards Knowledge-capable AI: Agents that See, Speak, Act and Know.
PhD thesis, 2022

Learning to Navigate Wikipedia by Taking Random Walks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Empirically Verifying Hypotheses Using Reinforcement Learning.
CoRR, 2020

Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies.
Proceedings of the 7th International Conference on Learning Representations, 2019

OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
The Pose Knows: Video Forecasting by Generating Pose Futures.
Proceedings of the IEEE International Conference on Computer Vision, 2017

The More You Know: Using Knowledge Graphs for Image Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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