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08/29/2023
Improving Neural Ranking Models with Traditional IR Methods
Neural ranking methods based on large transformer models have recently g...
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08/07/2023
A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction
Causal knowledge extraction is the task of extracting relevant causes an...
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05/31/2023
Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning
Inference of causal structures from observational data is a key componen...
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05/12/2023
Reduced Label Complexity For Tight ℓ_2 Regression
Given data X∈ℝ^n× d and labels 𝐲∈ℝ^n the goal is find 𝐰∈ℝ^d to minimize ...
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04/20/2023
Word Sense Induction with Knowledge Distillation from BERT
Pre-trained contextual language models are ubiquitously employed for lan...
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02/20/2023
Simple Disentanglement of Style and Content in Visual Representations
Learning visual representations with interpretable features, i.e., disen...
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07/08/2021
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
Adversarial examples pose a threat to deep neural network models in a va...
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06/08/2021
Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation
Answering a programming question using only its title is difficult as sa...
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04/27/2021
Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion
This work proposes to learn fair low-rank tensor decompositions by regul...
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04/16/2021
NoisyCUR: An algorithm for two-cost budgeted matrix completion
Matrix completion is a ubiquitous tool in machine learning and data anal...
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02/10/2021
Sparse graph based sketching for fast numerical linear algebra
In recent years, a variety of randomized constructions of sketching matr...
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02/10/2021
Information Prediction using Knowledge Graphs for Contextual Malware Threat Intelligence
Large amounts of threat intelligence information about mal-ware attacks ...
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06/20/2020
MALOnt: An Ontology for Malware Threat Intelligence
Malware threat intelligence uncovers deep information about malware, thr...
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09/27/2019
Fast Fixed Dimension L2-Subspace Embeddings of Arbitrary Accuracy, With Application to L1 and L2 Tasks
We give a fast oblivious L2-embedding of A∈R^n x d to B∈R^r x d satisfyi...
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06/03/2018
Alchemist: An Apache Spark <=> MPI Interface
The Apache Spark framework for distributed computation is popular in the...
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05/30/2018
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist
Apache Spark is a popular system aimed at the analysis of large data set...
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06/09/2017
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds
Kernel k-means clustering can correctly identify and extract a far more ...
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02/16/2017
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
We address the statistical and optimization impacts of using classical s...
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04/07/2015
Tensor machines for learning target-specific polynomial features
Recent years have demonstrated that using random feature maps can signif...
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12/17/2013