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03/26/2023
Δ-Networks for Efficient Model Patching
Models pre-trained on large-scale datasets are often finetuned to suppor...
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11/08/2022
Estimating Treatment Effects using Neurosymbolic Program Synthesis
Estimating treatment effects from observational data is a central proble...
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07/21/2022
Novel Class Discovery without Forgetting
Humans possess an innate ability to identify and differentiate instances...
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05/08/2022
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models
Conditional image generation has paved the way for several breakthroughs...
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03/14/2020
VarMixup: Exploiting the Latent Space for Robust Training and Inference
The vulnerability of Deep Neural Networks (DNNs) to adversarial attacks ...
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11/29/2019
