4 papers
DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning
Calvin Luo, Chen Sun, Shuran Song
A natural recipe for intelligent robotic decision-making is initializing from pretrained generative control policies, which have summarized offline experience, and adapting them to…
Text-Aware Diffusion for Policy Learning
Calvin Luo, Mandy He, Zilai Zeng +1
Training an agent to achieve particular goals or perform desired behaviors is often accomplished through reinforcement learning, especially in the absence of expert demonstrations.…
Self-Correcting Self-Consuming Loops for Generative Model Training
Nate Gillman, Michael Freeman, Daksh Aggarwal +4
As synthetic data becomes higher quality and proliferates on the internet, machine learning models are increasingly trained on a mix of human- and machine-generated data. Despite t…
Towards A Unified Neural Architecture for Visual Recognition and Reasoning
Calvin Luo, Boqing Gong, Ting Chen +1
Recognition and reasoning are two pillars of visual understanding. However, these tasks have an imbalance in focus; whereas recent advances in neural networks have shown strong emp…