1.3k citations · 1.7k across the 63 of their papers we have counts for
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Distributionally Robust Classification on a Data Budget
Benjamin Feuer, Ameya Joshi, Minh Pham +1
Real world uses of deep learning require predictable model behavior under distribution shifts. Models such as CLIP show emergent natural distributional robustness comparable to hum…
Circumventing Concept Erasure Methods For Text-to-Image Generative Models
Minh Pham, Kelly O. Marshall, Niv Cohen +2
Text-to-image generative models can produce photo-realistic images for an extremely broad range of concepts, and their usage has proliferated widely among the general public. On th…
Identity-Preserving Aging of Face Images via Latent Diffusion Models
Sudipta Banerjee, Govind Mittal, Ameya Joshi +2
The performance of automated face recognition systems is inevitably impacted by the facial aging process. However, high quality datasets of individuals collected over several years…
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos
Md Zahid Hasan, Jiajing Chen, Jiyang Wang +6
Recognizing the activities causing distraction in real-world driving scenarios is critical for ensuring the safety and reliability of both drivers and pedestrians on the roadways.…
LiT Tuned Models for Efficient Species Detection
Andre Nakkab, Benjamin Feuer, Chinmay Hegde
Recent advances in training vision-language models have demonstrated unprecedented robustness and transfer learning effectiveness; however, standard computer vision datasets are im…
Implicit Regularization for Group Sparsity
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde +1
We study the implicit regularization of gradient descent towards structured sparsity via a novel neural reparameterization, which we call a diagonally grouped linear neural network…