56 citations · 243 across the 35 of their papers we have counts for
6 papers · 1 filter
Multiscale Score Matching for Out-of-Distribution Detection
Ahsan Mahmood, Junier Oliva, Martin Styner
We present a new methodology for detecting out-of-distribution (OOD) images by utilizing norms of the score estimates at multiple noise scales. A score is defined to be the gradien…
Active Feature Acquisition with Generative Surrogate Models
Yang Li, Junier B. Oliva
Many real-world situations allow for the acquisition of additional relevant information when making an assessment with limited or uncertain data. However, traditional ML approaches…
Exchangeable Neural ODE for Set Modeling
Yang Li, Haidong Yi, Christopher M. Bender +2
Reasoning over an instance composed of a set of vectors, like a point cloud, requires that one accounts for intra-set dependent features among elements. However, since such instanc…
Deep Goal-Oriented Clustering
Yifeng Shi, Christopher M. Bender, Junier B. Oliva +1
Clustering and prediction are two primary tasks in the fields of unsupervised and supervised learning, respectively. Although much of the recent advances in machine learning have b…
Dynamic Feature Acquisition with Arbitrary Conditional Flows
Yang Li, Junier B. Oliva
Many real-world situations allow for the acquisition of additional relevant information when making an assessment with limited or uncertain data. However, traditional ML approaches…
Defense Through Diverse Directions
Christopher M. Bender, Yang Li, Yifeng Shi +2
In this work we develop a novel Bayesian neural network methodology to achieve strong adversarial robustness without the need for online adversarial training. Unlike previous effor…