Joshua Robinson
12 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (13)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
👑
Triple Crown
⚡
Prolific Year
(5)
🔥
Unstoppable
(7)
💎
Century Club
(12)
Conferences
ICLR (4)
ICML (3)
NIPS (2)
ACL (1)
MIDL (1)
NAACL (1)
Top co-authors
Keywords
information theory
(1)
submodular optimization
(1)
functional connectivity
(1)
learning theory
(1)
zero-shot learning
(1)
link prediction
(1)
semi-supervised learning
(1)
probabilistic modeling
(1)
transfer learning
(1)
in-context learning
(1)
prompt engineering
(1)
language modeling
(1)
multimodal learning
(1)
weak supervision
(1)
markov chain monte carlo
(1)
predictive modeling
(1)
mutual information
(1)
mcmc sampling
(1)
diversity modeling
(1)
determinantal point process
(1)
Papers
Zero-Shot Generalization of GNNs over Distinct Attribute Domains
ICML 2025
Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings
ICLR 2025
On the Stability of Expressive Positional Encodings for Graphs
ICLR 2024
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
ICLR 2024
On Retrieval Augmentation and the Limitations of Language Model Training
NAACL 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NIPS 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
Leveraging Large Language Models for Multiple Choice Question Answering
ICLR 2023
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
ACL 2022
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
MIDL 2021
Strength from Weakness: Fast Learning Using Weak Supervision
ICML 2020
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
NIPS 2019