Calvin Luo

According to our database, Calvin Luo authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Text-Aware Diffusion for Policy Learning.

Calvin Luo, Mandy He, Zilai Zeng, Chen Sun

CoRR, 2024

Self-Correcting Self-Consuming Loops for Generative Model Training.

Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu, Calvin Luo, Yonglong Tian, Chen Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Towards A Unified Neural Architecture for Visual Recognition and Reasoning.

Calvin Luo, Boqing Gong, Ting Chen, Chen Sun

CoRR, 2023

Does Visual Pretraining Help End-to-End Reasoning?

Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Understanding Diffusion Models: A Unified Perspective.

Calvin Luo

CoRR, 2022

2021

Intriguing Properties of Contrastive Losses.

Ting Chen, Calvin Luo, Lala Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Data Augmentation via Structured Adversarial Perturbations.

Calvin Luo, Hossein Mobahi, Samy Bengio

CoRR, 2020

2018

Scalable Recommender Systems through Recursive Evidence Chains.

Elias Tragas, Calvin Luo, Maxime Gazeau, Kevin Luk, David Duvenaud

CoRR, 2018