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PGrad: Learning Principal Gradients For Domain Generalization


May 02, 2023
Zhe Wang, Jake Grigsby, Yanjun Qi

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Improving Interpretability via Explicit Word Interaction Graph Layer


Feb 03, 2023
Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi

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* AAAI 2023 
* 15 pages, AAAI 2023 

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Launchpad: Learning to Schedule Using Offline and Online RL Methods


Dec 02, 2022
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi

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On the Transferability of Visual Features in Generalized Zero-Shot Learning


Nov 22, 2022
Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez

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RARE: Renewable Energy Aware Resource Management in Datacenters


Nov 10, 2022
Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi

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* Accepted at JSSPP-2022 

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White-box Testing of NLP models with Mask Neuron Coverage


May 10, 2022
Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi

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* Findings of NAACL 2022 
* Findings of NAACL 2022 submission, 12 pages 

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Estimating and Maximizing Mutual Information for Knowledge Distillation


Oct 29, 2021
Aman Shrivastava, Yanjun Qi, Vicente Ordonez

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A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets


Oct 10, 2021
Jake Grigsby, Yanjun Qi

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* Honors Undergraduate Thesis, UVA 2021. 15 pages 

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ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning


Sep 27, 2021
Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi

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Long-Range Transformers for Dynamic Spatiotemporal Forecasting


Sep 24, 2021
Jake Grigsby, Zhe Wang, Yanjun Qi

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