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05/03/2023
MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction
How to effectively represent molecules is a long-standing challenge for ...
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04/09/2023
Reweighted Mixup for Subpopulation Shift
Subpopulation shift exists widely in many real-world applications, which...
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03/13/2023
Deploying Offline Reinforcement Learning with Human Feedback
Reinforcement learning (RL) has shown promise for decision-making tasks ...
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11/30/2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Graph neural networks (GNNs) are popular weapons for modeling relational...
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09/19/2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Subpopulation shift wildly exists in many real-world machine learning ap...
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09/16/2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
The last decade has witnessed a prosperous development of computational ...
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05/23/2022
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
Graph contrastive learning (GCL) has attracted a surge of attention due ...
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01/29/2022
Robust Imitation Learning from Corrupted Demonstrations
We consider offline Imitation Learning from corrupted demonstrations whe...
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01/26/2022
A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy
The rapidly growing global population presents challenges and demands fo...
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01/26/2022
Theory of self-resonance after inflation. II. Quantum mechanics and particle-antiparticle asymmetry
We further develop a theory of self-resonance after inflation in a large...
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01/26/2022
Theory of self-resonance after inflation. I. Adiabatic and isocurvature Goldstone modesCCF none MP Hertzberg, J Karouby, WG Spitzer, JC Becerra, L Li
We develop a theory of self-resonance after inflation. We study a large ...
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01/24/2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery – A Focus on Affinity Prediction Problems with Noise Annotations
AI-aided drug discovery (AIDD) is gaining increasing popularity due to i...
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09/08/2021
Local Augmentation for Graph Neural Networks
Data augmentation has been widely used in image data and linguistic data...
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07/06/2021
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
Agriculture is the foundation of human civilization. However, the rapid ...
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02/25/2021
Bias-reduced multi-step hindsight experience replay
Multi-goal reinforcement learning is widely used in planning and robot m...
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02/22/2021
Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning
Meta-learning for offline reinforcement learning (OMRL) is an understudi...
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10/02/2020