research
∙
09/17/2023
Private Matrix Factorization with Public Item Features
We consider the problem of training private recommendation models with a...
share
research
∙
06/09/2023
Using Foundation Models to Detect Policy Violations with Minimal Supervision
Foundation models, i.e. large neural networks pre-trained on large text ...
research
∙
05/24/2022
Attributing AUC-ROC to Analyze Binary Classifier Performance
Area Under the Receiver Operating Characteristic Curve (AUC-ROC) is a po...
research
∙
02/24/2022
First is Better Than Last for Training Data Influence
The ability to identify influential training examples enables us to debu...
research
∙
02/19/2022
Reciprocity in Machine Learning
Machine learning is pervasive. It powers recommender systems such as Spo...
research
∙
06/08/2020
The Penalty Imposed by Ablated Data Augmentation
There is a set of data augmentation techniques that ablate parts of the ...
research
∙
04/03/2020
Attribution in Scale and Space
We study the attribution problem [28] for deep networks applied to perce...
research
∙
02/19/2020
Estimating Training Data Influence by Tracking Gradient Descent
We introduce a method called TrackIn that computes the influence of a tr...
research
∙
08/22/2019
The many Shapley values for model explanation
The Shapley value has become a popular method to attribute the predictio...
research
∙
02/14/2019
A New Interaction Index inspired by the Taylor Series
We study interactions among players in cooperative games. We propose a n...
research
∙
06/11/2018
A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values
Local explanation methods, also known as attribution methods, attribute ...
research
∙
05/30/2018
How Important Is a Neuron?
The problem of attributing a deep network's prediction to its input/base...
research
∙
05/14/2018
Did the Model Understand the Question?
We analyze state-of-the-art deep learning models for three tasks: questi...
research
∙
03/12/2018
It was the training data pruning too!
We study the current best model (KDG) for question answering on tabular ...
research
∙
09/28/2017
A Simple and Efficient MapReduce Algorithm for Data Cube Materialization
Data cube materialization is a classical database operator introduced in...
research
∙
09/10/2017
Abductive Matching in Question Answering
We study question-answering over semi-structured data. We introduce a ne...
research
∙
11/08/2016
