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Featured Co-authors

Yu Zhang
406 publications
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∙ 05/04/2023

Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations

Human-annotated labels and explanations are critical for training explai...

0 Bingsheng Yao, et al. ∙

∙ 03/13/2023

A Framework for Combining Entity Resolution and Query Answering in Knowledge Bases

We propose a new framework for combining entity resolution and query ans...

0 Ronald Fagin, et al. ∙

∙ 01/30/2023

MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning

Training deep networks and tuning hyperparameters on large datasets is c...

0 Kirshnateja Killamsetty, et al. ∙

∙ 12/05/2022

Entity Set Co-Expansion in StackOverflow

Given a few seed entities of a certain type (e.g., Software or Programmi...

0 Yu Zhang, et al. ∙

∙ 03/19/2022

Domain Representative Keywords Selection: A Probabilistic Approach

We propose a probabilistic approach to select a subset of a target domai...

0 Pritom Saha Akash, et al. ∙

∙ 03/15/2022

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning

Deep neural networks have seen great success in recent years; however, t...

0 KrishnaTeja Killamsetty, et al. ∙

∙ 09/23/2021

Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming

A critical bottleneck in supervised machine learning is the need for lar...

1 Ayush Maheshwari, et al. ∙

∙ 06/17/2021

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

Entity linking (EL), the task of disambiguating mentions in text by link...

5 Hang Jiang, et al. ∙

∙ 12/03/2020

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning

Knowledge base question answering (KBQA) is an important task in Natural...

3 Pavan Kapanipathi, et al. ∙

∙ 10/30/2020

Learning Structured Representations of Entity Names using Active Learning and Weak Supervision

Structured representations of entity names are useful for many entity-re...

0 Kun Qian, et al. ∙

∙ 05/01/2020

Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context

Documents are often the format of choice for knowledge sharing and prese...

0 Xinyi Zheng, et al. ∙

∙ 03/29/2020

A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching

Entity Matching (EM) is a core data cleaning task, aiming to identify di...

0 Venkata Vamsikrishna Meduri, et al. ∙

∙ 11/25/2019

CANTO – Covert AutheNtication with Timing channels over Optimized traffic flows for CAN

Previous research works have endorsed the use of delays and clock skews ...

0 Bogdan Groza, et al. ∙

∙ 06/17/2019

Low-resource Deep Entity Resolution with Transfer and Active Learning

Entity resolution (ER) is the task of identifying different representati...

0 Jungo Kasai, et al. ∙

∙ 01/29/2019

Knowledge Refinement via Rule Selection

In several different applications, including data transformation and ent...

0 Phokion G. Kolaitis, et al. ∙

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