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03/24/2023
Mathematical Challenges in Deep Learning
Deep models are dominating the artificial intelligence (AI) industry sin...
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10/05/2022
Conformalized Fairness via Quantile Regression
Algorithmic fairness has received increased attention in socially sensit...
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03/24/2022
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction
Precise congestion prediction from a placement solution plays a crucial ...
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11/10/2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Presently with technology node scaling, an accurate prediction model at ...
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07/08/2021
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles
For autonomous vehicles integrating onto roadways with human traffic par...
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07/07/2021
S^3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Shift neural networks reduce computation complexity by removing expensiv...
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06/01/2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
Extending transfer learning to cooperative multi-agent reinforcement lea...
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03/15/2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Recent progress in deep reinforcement learning (DRL) can be largely attr...
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05/19/2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
Generative adversarial imitation learning (GAIL) has shown promising res...
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02/19/2020
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework
Transfer Learning has shown great potential to enhance the single-agent ...
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02/10/2020
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
In many real-world settings, a team of cooperative agents must learn to ...
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01/04/2020