Official Code for Learning to Scale Logits for Temperature-conditional GFlowNets (ICML 2024) - dbsxodud-11/logit-gfn ...

This analysis aims to implement a multinomial logit model using Python. The goal is to calculate the probabilities of various alternatives based on a set of parameters and independent variables.

Use of logit transformation within statistical analyses of experimental results obtained as proportions: example of method validation experiments and EQA in flow cytometry ...

Multinomial logit models of teenagers' enrollment-employment outcomes are estimated. The hypothesis appears to be confirmed for white teens; however, the evidence for nonwhites is more ambiguous. The ...

Previous works have extensively studied the transferability of adversarial samples in untargeted black-box scenarios. However, it still remains challenging to craft targeted adversarial examples with ...

Knowledge Distillation (KD) is an effective model compression approach to transfer knowledge from a larger network to a smaller one. Existing state-of-the-art methods mostly focus on feature-based ...