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Learning Robust Representations by Projecting Superficial Statistics Out., , , and . ICLR, OpenReview.net, (2019)Deep Learning for Genomics: A Concise Overview, and . CoRR, (2018)What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks., , and . CoRR, (2018)Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data., , , and . Bioinform., 35 (7): 1181-1187 (2019)Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography., , , , , , , and . CoRR, (2021)Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization., , and . CoRR, (2023)Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning., , , , , , , , and . CoRR, (2022)MRCLens: an MRC Dataset Bias Detection Toolkit., , and . CoRR, (2022)Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species., , , , , and . PLoS Comput. Biol., 16 (11): 1008297 (November 2020)Tradeoffs of Linear Mixed Models in Genome-wide Association Studies., , and . CoRR, (2021)