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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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06/18/2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
With the growing interest in large language models, the need for evaluat...
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05/31/2023
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
We introduce Logical Offline Cycle Consistency Optimization (LOCCO), a s...
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01/15/2022
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
Knowledge Base Question Answering (KBQA) tasks that involve complex reas...
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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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10/21/2021
LOA: Logical Optimal Actions for Text-based Interaction Games
We present Logical Optimal Actions (LOA), an action decision architectur...
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10/21/2021
Neuro-Symbolic Reinforcement Learning with First-Order Logic
Deep reinforcement learning (RL) methods often require many trials befor...
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09/28/2021
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases
Knowledge Base Question Answering (KBQA) tasks that in-volve complex rea...
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09/25/2021
Logical Credal Networks
This paper introduces Logical Credal Networks, an expressive probabilist...
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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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03/03/2021
Reinforcement Learning with External Knowledge by using Logical Neural Networks
Conventional deep reinforcement learning methods are sample-inefficient ...
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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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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...
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09/16/2020
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
Knowledgebase question answering systems are heavily dependent on relati...
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08/06/2020
Foundations of Reasoning with Uncertainty via Real-valued Logics
Real-valued logics underlie an increasing number of neuro-symbolic appro...
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06/23/2020
Logical Neural Networks
We propose a novel framework seamlessly providing key properties of both...
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12/13/2019
AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates
Artificial Intelligence (AI) can now automate the algorithm selection, f...
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10/22/2019
How can AI Automate End-to-End Data Science?
Data science is labor-intensive and human experts are scarce but heavily...
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09/05/2019
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
The rapid advancement of artificial intelligence (AI) is changing our li...
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05/01/2019
Automated Machine Learning via ADMM
We study the automated machine learning (AutoML) problem of jointly sele...
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09/14/2013
Local Support Vector Machines:Formulation and Analysis
We provide a formulation for Local Support Vector Machines (LSVMs) that ...
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11/03/2012
Stochastic ADMM for Nonsmooth Optimization
We present a stochastic setting for optimization problems with nonsmooth...
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05/21/2012
Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure
In this work we consider the stochastic minimization of nonsmooth convex...
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11/08/2011
