research
∙
03/10/2023
Semi-supervised Adversarial Learning for Complementary Item Recommendation
Complementary item recommendations are a ubiquitous feature of modern e-...
share
research
∙
10/21/2022
Collaborative Image Understanding
Automatically understanding the contents of an image is a highly relevan...
research
∙
06/17/2022
Beyond Ridge Regression for Distribution-Free Data
In supervised batch learning, the predictive normalized maximum likeliho...
research
∙
10/18/2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Detecting out-of-distribution (OOD) samples is vital for developing mach...
research
∙
09/04/2021
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness
Adversarial attacks have been shown to be highly effective at degrading ...
research
∙
02/14/2021
The Predictive Normalized Maximum Likelihood for Over-parameterized Linear Regression with Norm Constraint: Regret and Double Descent
A fundamental tenet of learning theory is that a trade-off exists betwee...
research
∙
01/10/2021
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction
Cryo-Electron Microscopy (Cryo-EM) is a Nobel prize-winning technology f...
research
∙
09/25/2019
Balancing Specialization, Generalization, and Compression for Detection and Tracking
We propose a method for specializing deep detectors and trackers to rest...
research
∙
05/12/2019
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression
Linear regression is a classical paradigm in statistics. A new look at i...
research
∙
04/28/2019