Genre
Can an AI Agent Safely Run a Government Existence of Probably Approximately Aligned Policies
Y et, to our knowledge, every metric for alignment is a posteriori, i.e., a system is deemed aligned as
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
We propose a new algorithm for the problem of recovering data that adheres to multiple, heterogeneous low-dimensional structures from linear observations.
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
Semi-supervised learning (SSL) offers a robust framework for harnessing the potential of unannotated data. Traditionally, SSL mandates that all classes possess labeled instances.
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
For object recognition convolutional neural networks, the shape bias leads to greater robustness against style and pattern change distraction.
b4baac5d3f7508a4eb2b65376470a5a2-Paper-Conference.pdf
In traditional federated learning, the entire parameter set of local models is updated and averaged in each training round.
