41 citations · 177 across the 21 of their papers we have counts for
5 papers · 1 filter
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
Han Guo, Nazneen Fatema Rajani, Peter Hase +2
Influence functions approximate the "influences" of training data-points for test predictions and have a wide variety of applications. Despite the popularity, their computational c…
DORB: Dynamically Optimizing Multiple Rewards with Bandits
Ramakanth Pasunuru, Han Guo, Mohit Bansal
Policy gradients-based reinforcement learning has proven to be a promising approach for directly optimizing non-differentiable evaluation metrics for language generation tasks. How…
Construction of Two Statistical Anomaly Features for Small-Sample APT Attack Traffic Classification
Ru Zhang, Wenxin Sun, Jianyi Liu +3
Advanced Persistent Threat (APT) attack, also known as directed threat attack, refers to the continuous and effective attack activities carried out by an organization on a specific…
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Domain adaptation performance of a learning algorithm on a target domain is a function of its source domain error and a divergence measure between the data distribution of these tw…
Butterfly factorization via randomized matrix-vector multiplications
Yang Liu, Xin Xing, Han Guo +3
This paper presents an adaptive randomized algorithm for computing the butterfly factorization of a matrix with provided that both the matrix and its trans…