Publications related to Symbolic artificial intelligence

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

Karl Aberer, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

The heterogeneity of today's Web sources requires information retrieval (IR) systems to handle multi-modal queries. Such queries define a user's information needs by different data modalities, such as keywords, hashtags, user profiles, and other media. Rec ...

IEEE COMPUTER SOC2022

A Data-Knowledge Hybrid Driven Method for Gas Turbine Gas Path Diagnosis

Jinzhi Lu, Xiaochen Zheng, Jinwei Chen

Gas path fault diagnosis of a gas turbine is a complex task involving field data analysis and knowledge-based reasoning. In this paper, a data-knowledge hybrid driven method for gas path fault diagnosis is proposed by integrating a physical model-based gas ...

MDPI2022

Block-Sparse Adversarial Attack To Fool Transformer-Based Text Classifiers

Pascal Frossard, Seyedeh Sahar Sadrizadeh

Recently, it has been shown that, in spite of the significant performance of deep neural networks in different fields, those are vulnerable to adversarial examples. In this paper, we propose a gradient-based adversarial attack against transformer-based tex ...

IEEE2022

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale

Wearable IoT devices and novel continuous monitoring algorithms are essential components of the healthcare transition from reactive interventions focused on symptom treatment to more proactive prevention, from one-size-fits-all to personalized medicine, an ...

IEEE2022

GANs for All: Supporting Fun and Intuitive Exploration of GAN Latent Spaces

Pierre Dillenbourg, Richard Lee Davis, Kevin Gonyop Kim, Wei Jiang

We have developed a new tool that makes it possible for people with zero programming experience to intentionally and meaningfully explore the latent space of a GAN. We combine a number of methods from the literature into a single system that includes multi ...

PMLR2022

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Antoine Bosselut, Forough Arabshahi

One of the challenges faced by conversational agents is their inability to identify unstated presumptions of their users' commands, a task trivial for humans due to their common sense. In this paper, we propose a zeroshot commonsense reasoning system for c ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations

Mrinmaya Sachan, Mattia Atzeni

Text-based games (TBGs) have emerged as useful benchmarks for evaluating progress at the intersection of grounded language understanding and reinforcement learning (RL). Recent work has proposed the use of external knowledge to improve the efficiency of RL ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model

Hervé Bourlard, Apoorv Vyas

In this work, we investigate if the wav2vec 2.0 self-supervised pretraining helps mitigate the overfitting issues with connectionist temporal classification (CTC) training to reduce its performance gap with flat-start lattice-free MMI (E2E-LFMMI) for autom ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Fast Multi-Step Critiquing for VAE-based Recommender Systems

Boi Faltings, Diego Matteo Antognini

Recent studies have shown that providing personalized explanations alongside recommendations increases trust and perceived quality. Furthermore, it gives users an opportunity to refine the recommendations by critiquing parts of the explanations. On one han ...

ASSOC COMPUTING MACHINERY2021

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Symbolic artificial intelligence

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

A Data-Knowledge Hybrid Driven Method for Gas Turbine Gas Path Diagnosis

Block-Sparse Adversarial Attack To Fool Transformer-Based Text Classifiers

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

GANs for All: Supporting Fun and Intuitive Exploration of GAN Latent Spaces

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations

Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model

The Dimension of the Body in Higher Education: Matrix of Meanings in Students’ Diaries

Fast Multi-Step Critiquing for VAE-based Recommender Systems

Graph Chatbot

Chat with Graph Search

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations

The Dimension of the Body in Higher Education: Matrix of Meanings in Students’ Diaries

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model

Block-Sparse Adversarial Attack To Fool Transformer-Based Text Classifiers

GANs for All: Supporting Fun and Intuitive Exploration of GAN Latent Spaces

Fast Multi-Step Critiquing for VAE-based Recommender Systems

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

A Data-Knowledge Hybrid Driven Method for Gas Turbine Gas Path Diagnosis