Showing 1–12 of 12 results
/ Date/ Name
Mar 29, 2023Queer In AI: A Case Study in Community-Led Participatory AIMay 9, 2022When does dough become a bagel? Analyzing the remaining mistakes on ImageNetMar 10, 2022Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeOct 20, 2021No One Representation to Rule Them All: Overlapping Features of Training MethodsOct 6, 2021Spectral Bias in Practice: The Role of Function Frequency in GeneralizationSep 4, 2021Robust fine-tuning of zero-shot modelsMay 20, 2020Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene SegmentationFeb 20, 2020Affinity and Diversity: Quantifying Mechanisms of Data AugmentationJun 21, 2019A Fourier Perspective on Model Robustness in Computer VisionJun 6, 2019Improving Robustness Without Sacrificing Accuracy with Patch Gaussian AugmentationApr 4, 2019A Learned Representation for Scalable Vector GraphicsOct 19, 2017Data-Free Knowledge Distillation for Deep Neural Networks