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03/01/2021
Coordination Among Neural Modules Through a Shared Global Workspace
Deep learning has seen a movement away from representing examples with a...
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10/06/2020
Reinforcement Learning with Random Delays
Action and observation delays commonly occur in many Reinforcement Learn...
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05/18/2020
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
Neuromorphic event cameras are useful for dynamic vision problems under ...
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03/02/2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Generalizing outside of the training distribution is an open challenge f...
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06/25/2019
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Reinforcement learning agents that operate in diverse and complex enviro...
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05/26/2019
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Machine learning promises methods that generalize well from finite label...
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05/22/2019
The Journey is the Reward: Unsupervised Learning of Influential Trajectories
Unsupervised exploration and representation learning become increasingly...
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09/11/2018
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding
Learning long-term dependencies in extended temporal sequences requires ...
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08/14/2018
Generalization of Equilibrium Propagation to Vector Field Dynamics
The biological plausibility of the backpropagation algorithm has long be...
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04/28/2018
Low-memory convolutional neural networks through incremental depth-first processing
We introduce an incremental processing scheme for convolutional neural n...
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04/07/2018
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations
Deep networks have achieved impressive results across a variety of impor...
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11/07/2017
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
A major drawback of backpropagation through time (BPTT) is the difficult...
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11/04/2017
DDD17: End-To-End DAVIS Driving Dataset
Event cameras, such as dynamic vision sensors (DVS), and dynamic and act...
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11/02/2016
Deep counter networks for asynchronous event-based processing
Despite their advantages in terms of computational resources, latency, a...
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06/23/2016
Precise deep neural network computation on imprecise low-power analog hardware
There is an urgent need for compact, fast, and power-efficient hardware ...
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11/02/2015