Supervised Encoding for Discrete Representation Learning. - Cat P. Le; Yi Zhou 017; Jie Ding 002; Vahid Tarokh (ICASSP, 2020)

Task-Aware Neural Architecture Search. - Cat P. Le; Mohammadreza Soltani; Robert J. Ravier; Vahid Tarokh (ICASSP, 2021)

Neural Architecture Search From Task Similarity Measure. - Cat P. Le; Mohammadreza Soltani; Robert J. Ravier; Vahid Tarokh (CoRR, 2021)

Neural Architecture Search From Fréchet Task Distance. - Cat P. Le; Mohammadreza Soltani; Robert J. Ravier; Trevor Standley; Silvio Savarese; Vahid Tarokh (CoRR, 2021)

Task Affinity with Maximum Bipartite Matching in Few-Shot Learning. - Cat Phuoc Le; Juncheng Dong; Mohammadreza Soltani; Vahid Tarokh (ICLR, 2022)

Fisher Task Distance and its Application in Neural Architecture Search. - Cat P. Le; Mohammadreza Soltani; Juncheng Dong; Vahid Tarokh (IEEE Access, 2022)

Causal Knowledge Transfer from Task Affinity. - Ahmed Aloui; Juncheng Dong; Cat P. Le; Vahid Tarokh (CoRR, 2022)

Transfer learning for individual treatment effect estimation. - Ahmed Aloui; Juncheng Dong; Cat P. Le; Vahid Tarokh (UAI, 2023)

Improving Open-Domain Dialogue Evaluation with a Causal Inference Model. - Cat P. Le; Luke Dai; Michael Johnston; Yang Liu; Marilyn A. Walker; Reza Ghanadan (CoRR, 2023)

Few-Shot Continual Learning for Conditional Generative Adversarial Networks. - Cat P. Le; Juncheng Dong; Ahmed Aloui; Vahid Tarokh (CoRR, 2023)

PrACTiS: Perceiver-Attentional Copulas for Time Series. - Cat P. Le; Chris Cannella; Ali Hasan; Yuting Ng; Vahid Tarokh (CoRR, 2023)

Counterfactual Data Augmentation with Contrastive Learning. - Ahmed Aloui; Juncheng Dong; Cat P. Le; Vahid Tarokh (CoRR, 2023)

Task Affinity and Its Applications in Machine Learning. - Cat Phuoc Le (2023)

Perceiving Copulas for Multimodal Time Series Forecasting. - Cat P. Le; Chris Cannella; Ali Hasan; Yuting Ng; Vahid Tarokh (WSC, 2024)

CATE Estimation With Potential Outcome Imputation From Local Regression. - Ahmed Aloui; Juncheng Dong; Cat Phuoc Le; Vahid Tarokh (UAI, 2025)