Scalable Recommender Systems through Recursive Evidence Chains. - Elias Tragas; Calvin Luo; Maxime Gazeau; Kevin Luk; David Duvenaud (CoRR, 2018)

Data Augmentation via Structured Adversarial Perturbations. - Calvin Luo; Hossein Mobahi; Samy Bengio (CoRR, 2020)

Intriguing Properties of Contrastive Losses. - Ting Chen 007; Calvin Luo; Lala Li (NeurIPS, 2021)

Understanding Diffusion Models: A Unified Perspective. - Calvin Luo (CoRR, 2022)

Does Visual Pretraining Help End-to-End Reasoning? - Chen Sun 002; Calvin Luo; Xingyi Zhou; Anurag Arnab; Cordelia Schmid (NeurIPS, 2023)

Towards A Unified Neural Architecture for Visual Recognition and Reasoning. - Calvin Luo; Boqing Gong; Ting Chen; Chen Sun 002 (CoRR, 2023)

Self-Correcting Self-Consuming Loops for Generative Model Training. - Nate Gillman; Michael Freeman; Daksh Aggarwal; Chia-Hong Hsu; Calvin Luo; Yonglong Tian; Chen Sun 002 (ICML, 2024)

Text-Aware Diffusion for Policy Learning. - Calvin Luo; Mandy He; Zilai Zeng; Chen Sun 002 (NeurIPS, 2024)

Solving New Tasks by Adapting Internet Video Knowledge. - Calvin Luo; Zilai Zeng; Yilun Du; Chen Sun 002 (ICLR, 2025)

Self-Adapting Improvement Loops for Robotic Learning. - Calvin Luo; Zilai Zeng; Mingxi Jia; Yilun Du; Chen Sun 002 (CoRR, 2025)