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06/23/2023
Scaling MLPs: A Tale of Inductive Bias
In this work we revisit the most fundamental building block in deep lear...
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06/04/2023
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes
Training models to apply common-sense linguistic knowledge and visual co...
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04/12/2023
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes
Training models to apply linguistic knowledge and visual concepts from 2...
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02/23/2023
Random Teachers are Good Teachers
In this work, we investigate the implicit regularization induced by teac...
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10/25/2022
The Curious Case of Benign Memorization
Despite the empirical advances of deep learning across a variety of lear...
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05/27/2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
While Bayesian neural networks (BNNs) provide a sound and principled alt...
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03/07/2022
Generalization Through The Lens Of Leave-One-Out Error
Despite the tremendous empirical success of deep learning models to solv...
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06/30/2021
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
The Hessian of a neural network captures parameter interactions through ...
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06/11/2021
Precise characterization of the prior predictive distribution of deep ReLU networks
Recent works on Bayesian neural networks (BNNs) have highlighted the nee...
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06/11/2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
The "cold posterior effect" (CPE) in Bayesian deep learning describes th...
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05/07/2021
Uniform Convergence, Adversarial Spheres and a Simple Remedy
Previous work has cast doubt on the general framework of uniform converg...
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11/12/2019
