Asia
Pseudo-Private Data Guided Model Inversion Attacks
In model inversion attacks (MIAs), adversaries attempt to recover the private training data by exploiting access to a well-trained target model.
Implicit Task-DrivenProbabilityDiscrepancy MeasureforUnsupervisedDomainAdaptation
However,most measures overlook the fact that the distributions are not the endproduct oflearning, butare the input of adownstream predictor.
Moment Matching Denoising Gibbs Sampling
However, training and sampling from EBMs continue to pose significant challenges.
Rand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node
Suhas Jayaram Subramanya, Fnu Devvrit, Harsha Vardhan Simhadri, Ravishankar Krishnawamy, Rohan Kadekodi
Neural Information Processing Systems http://nips.cc/
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
Recently, large language models (LLMs) ( e.g., GPT -3 and ChatGPT) have shown remarkable zero-shot and few-shot performance on various tasks [
ImplicitDeepAdaptiveDesign: Policy-Based ExperimentalDesignwithoutLikelihoods
For example, suppose that a chemical contaminant has accidentally been released and is rapidly spreading; we need to quickly discover its unknown source.