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07/15/2022
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
Active speaker detection (ASD) in videos with multiple speakers is a cha...
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12/18/2021
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs
Structured video representation in the form of dynamic scene graphs is a...
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12/02/2021
Learning Spatial-Temporal Graphs for Active Speaker Detection
We address the problem of active speaker detection through a new framewo...
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06/15/2021
Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
Inter-agent communication can significantly increase performance in mult...
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06/14/2021
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
Mixed-precision quantization is a powerful tool to enable memory and com...
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06/06/2021
On Local Aggregation in Heterophilic Graphs
Many recent works have studied the performance of Graph Neural Networks ...
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10/19/2020
Dream and Search to Control: Latent Space Planning for Continuous Control
Learning and planning with latent space dynamics has been shown to be us...
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10/08/2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning
Learning effective policies for sparse objectives is a key challenge in ...
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10/06/2020
Safety Aware Reinforcement Learning (SARL)
As reinforcement learning agents become increasingly integrated into com...
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07/14/2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
As modern neural networks have grown to billions of parameters, meeting ...
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06/18/2019
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
A key challenge for Multiagent RL (Reinforcement Learning) is the design...
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05/02/2019
Collaborative Evolutionary Reinforcement Learning
Deep reinforcement learning algorithms have been successfully applied to...
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02/07/2019
