Philip John Gorinski

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Convolutional Neural Networks

Machine Learning Approaches

Relational Graph

Top Venues

EMNLP (Findings)

Publications

Rafael Kourdis, Gabriel Gordon-Hall, Philip John Gorinski
αVIL: Learning to Leverage Auxiliary Tasks for Multitask Learning. CoRR (2024)
Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger
The Regular Expression Inference Challenge. CoRR (2023)
Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. CoRR (2023)
Yunjie He, Philip John Gorinski, Ieva Staliunaite, Pontus Stenetorp
Graph Attention with Hierarchies for Multi-hop Question Answering. CoRR (2023)
Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. EMNLP (Findings) (2023)
Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar
Structured Q-learning For Antibody Design. CoRR (2022)
Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study. CoRR (2022)
Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. AAAI (2021)
Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. CoRR (2021)
Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen
Learning Dialog Policies from Weak Demonstrations. ACL (2020)
Yusheng Tian, Philip John Gorinski
Improving End-to-End Speech-to-Intent Classification with Reptile. INTERSPEECH (2020)
Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen
Learning Dialog Policies from Weak Demonstrations. CoRR (2020)
Gabriel Gordon-Hall, Philip John Gorinski, Gerasimos Lampouras, Ignacio Iacobacci
Show Us the Way: Learning to Manage Dialog from Demonstrations. CoRR (2020)
Yusheng Tian, Philip John Gorinski
Improving End-to-End Speech-to-Intent Classification with Reptile. CoRR (2020)
Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. CoRR (2019)
Philip John Gorinski, Mirella Lapata
What's This Movie About? A Joint Neural Network Architecture for Movie Content Analysis. NAACL-HLT (2018)
Philip John Gorinski, Mirella Lapata
Movie Script Summarization as Graph-based Scene Extraction. HLT-NAACL (2015)