Miltiadis Allamanis
17 papers · 2016–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Grand Slam
π
Trend Setter
π
Century Club Β· Bronze
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Conference Pioneer
β
The Questioner
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(79)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(10)
Architectures
(10)
Artificial Intelligence
(9)
Core AI
(8)
Core Methods
(7)
Natural Language Processing
(6)
Learning Types
(5)
Generation
(4)
Models
(3)
Computer Science
(2)
Applications Β· Computer Science
(2)
Applications Β· Natural Language Processing
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Keywords
graph neural network
(5)
neural network
(3)
source code
(3)
latent space
(2)
semantic equivalence
(2)
code generation
(2)
representation learning
(2)
self-supervised learning
(1)
code completion
(1)
natural language processing
(1)
information retrieval
(1)
text summarization
(1)
semantic parsing
(1)
graph generation
(1)
text generation
(1)
symbolic reasoning
(1)
semantic structure
(1)
text editing
(1)
program analysis
(1)
message passing
(1)
Papers
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
ICML 2024
NExT: Teaching Large Language Models to Reason about Code Execution
ICML 2024
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
ICML 2024
Learning to Complete Code with Sketches
ICLR 2022
NS3: Neuro-symbolic Semantic Code Search
NeurIPS 2022
Simultaneous Missing Value Imputation and Structure Learning with Groups
NeurIPS 2022
Copy That! Editing Sequences by Copying Spans
AAAI 2021
Self-Supervised Bug Detection and Repair
NeurIPS 2021
Generative Code Modeling with Graphs
ICLR 2019
Learning to Represent Edits
ICLR 2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
NeurIPS 2019
Structured Neural Summarization
ICLR 2019
Constrained Graph Variational Autoencoders for Molecule Design
NeurIPS 2018
Learning to Represent Programs with Graphs
ICLR 2018
Modelling Natural Language, Programs, and their Intersection
NAACL 2018
Learning Continuous Semantic Representations of Symbolic Expressions
ICML 2017
A Convolutional Attention Network for Extreme Summarization of Source Code
ICML 2016