38 citations · 77 across the 14 of their papers we have counts for
15 papers
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces
Debjyoti Saha Roy, Byron C. Wallace, Javed A. Aslam
Reasoning-trained language models can perform, zero-shot, multi-label tasks that require selecting a small set of relevant labels from a universe of thousands to hundreds of thousa…
Don't Pay Attention, PLANT It: Pretraining Attention via Learning-to-Rank
Debjyoti Saha Roy, Byron C. Wallace, Javed A. Aslam
State-of-the-art Extreme Multi-Label Text Classification models rely on multi-label attention to focus on key tokens in input text, but learning good attention weights is challengi…
Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification
Youngwoo Kim, Cheng Li, Bingyang Ye +2
ICD coding is the international standard for capturing and reporting health conditions and diagnosis for revenue cycle management in healthcare. Manually assigning ICD codes is pro…
An Ensemble Approach for Automatic Structuring of Radiology Reports
Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye +3
Automatic structuring of electronic medical records is of high demand for clinical workflow solutions to facilitate extraction, storage, and querying of patient care information. H…
A Complex KBQA System using Multiple Reasoning Paths
Kechen Qin, Yu Wang, Cheng Li +4
Multi-hop knowledge based question answering (KBQA) is a complex task for natural language understanding. Many KBQA approaches have been proposed in recent years, and most of them…
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
Kechen Qin, Cheng Li, Virgil Pavlu +1
We present an adaptation of RNN sequence models to the problem of multi-label classification for text, where the target is a set of labels, not a sequence. Previous such RNN models…
Pure-Exploration for Infinite-Armed Bandits with General Arm Reservoirs
Maryam Aziz, Kevin Jamieson, Javed Aslam
This paper considers a multi-armed bandit game where the number of arms is much larger than the maximum budget and is effectively infinite. We characterize necessary and sufficient…
Adaptively Pruning Features for Boosted Decision Trees
Maryam Aziz, Jesse Anderton, Javed Aslam
Boosted decision trees enjoy popularity in a variety of applications; however, for large-scale datasets, the cost of training a decision tree in each round can be prohibitively exp…
Revealing the Basis: Ordinal Embedding Through Geometry
Jesse Anderton, Virgil Pavlu, Javed Aslam
Ordinal Embedding places n objects into R^d based on comparisons such as "a is closer to b than c." Current optimization-based approaches suffer from scalability problems and an ab…
Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence
Maryam Aziz, Jesse Anderton, Emilie Kaufmann +1
We consider the problem of near-optimal arm identification in the fixed confidence setting of the infinitely armed bandit problem when nothing is known about the arm reservoir dist…
Measuring Human-perceived Similarity in Heterogeneous Collections
Jesse Anderton, Pavel Metrikov, Virgil Pavlu +1
We present a technique for estimating the similarity between objects such as movies or foods whose proper representation depends on human perception. Our technique combines a modes…
Regularizing Model Complexity and Label Structure for Multi-Label Text Classification
Bingyu Wang, Cheng Li, Virgil Pavlu +1
Multi-label text classification is a popular machine learning task where each document is assigned with multiple relevant labels. This task is challenging due to high dimensional f…
On The Network You Keep: Analyzing Persons of Interest using Cliqster
Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram +2
Our goal is to determine the structural differences between different categories of networks and to use these differences to predict the network category. Existing work on this top…
Optimal Tourist Problem and Anytime Planning of Trip Itineraries
Jingjin Yu, Javed Aslam, Sertac Karaman +1
We introduce and study the problem in which a mobile sensing robot (our tourist) is tasked to travel among and gather intelligence at a set of spatially distributed point-of-intere…
Improved Bicriteria Existence Theorems for Scheduling
Javed Aslam, April Rasala, Cliff Stein +1
Two common objectives for evaluating a schedule are the makespan, or schedule length, and the average completion time. This short note gives improved bounds on the existence of sch…