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08/07/2023
Distributionally Robust Classification on a Data Budget
Real world uses of deep learning require predictable model behavior unde...
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07/17/2023
Identity-Preserving Aging of Face Images via Latent Diffusion Models
The performance of automated face recognition systems is inevitably impa...
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06/16/2023
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos
Recognizing the activities, causing distraction, in real-world driving s...
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06/14/2023
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision
Current state-of-the-art methods for text-to-shape generation either req...
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10/13/2022
Caption supervision enables robust learners
Vision language models like CLIP are robust to natural distribution shif...
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06/17/2022
Revisiting Self-Distillation
Knowledge distillation is the procedure of transferring "knowledge" from...
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06/15/2022
A Meta-Analysis of Distributionally-Robust Models
State-of-the-art image classifiers trained on massive datasets (such as ...
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05/12/2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
Randomized smoothing (RS) has been shown to be a fast, scalable techniqu...
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02/04/2022
Selective Network Linearization for Efficient Private Inference
Private inference (PI) enables inference directly on cryptographically s...
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10/08/2021
Adversarial Token Attacks on Vision Transformers
Vision transformers rely on a patch token based self attention mechanism...
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10/04/2021
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs
We consider a mesh-based approach for training a neural network to produ...
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10/04/2021
Differentiable Spline Approximations
The paradigm of differentiable programming has significantly enhanced th...
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07/24/2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models
Recent progress in scientific machine learning (SciML) has opened up the...
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06/28/2020
ESPN: Extremely Sparse Pruned Networks
Deep neural networks are often highly overparameterized, prohibiting the...
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06/04/2019
Encoding Invariances in Deep Generative Models
Reliable training of generative adversarial networks (GANs) typically re...
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04/17/2019