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07/05/2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Text-based reinforcement learning agents have predominantly been neural ...
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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...
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10/15/2022
A Closer Look at the Calibration of Differentially Private Learners
We systematically study the calibration of classifiers trained with diff...
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12/06/2021
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Recent work on neuro-symbolic inductive logic programming has led to pro...
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09/16/2021
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion
Recent interest in Knowledge Base Completion (KBC) has led to a plethora...
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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...
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04/08/2021
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
Given two large lists of records, the task in entity resolution (ER) is ...
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02/28/2021
Logic Embeddings for Complex Query Answering
Answering logical queries over incomplete knowledge bases is challenging...
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10/01/2020
A Survey of the State of Explainable AI for Natural Language Processing
Recent years have seen important advances in the quality of state-of-the...
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04/06/2020
Forecasting in multivariate irregularly sampled time series with missing values
Sparse and irregularly sampled multivariate time series are common in cl...
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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...
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07/25/2019
HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop
While the role of humans is increasingly recognized in machine learning ...
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02/08/2018
Deep Learning with Apache SystemML
Enterprises operate large data lakes using Hadoop and Spark frameworks t...
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01/02/2018
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML
Many large-scale machine learning (ML) systems allow specifying custom M...
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05/09/2012
