Matt Botvinick
8 papers · 2017–2023 · 2 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(4)
Machine Learning
(3)
Learning Paradigms
(3)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Methods
(2)
Resources & Methods
(2)
Computer Vision
(1)
Deep Learning
(1)
Interdisciplinary
(1)
Analysis
(1)
Application Areas
(1)
Cognitive Science
(1)
Generation
(1)
Keywords
large language model
(2)
multi-agent reinforcement learning
(2)
imitation learning
(1)
variational inference
(1)
causal reasoning
(1)
sparse representation
(1)
visual reasoning
(1)
hyperparameter tuning
(1)
instance segmentation
(1)
prompt learning
(1)
variational approach
(1)
mutual information
(1)
gradient descent
(1)
bayesian optimization
(1)
temporal abstraction
(1)
self-supervised learning
(1)
recurrent neural network
(1)
competitive game
(1)
reward model
(1)
black-box optimization
(1)
Papers
Cognitive Model Discovery via Disentangled RNNs
NeurIPS 2023
Meta-in-context learning in large language models
NeurIPS 2023
Fine-tuning language models to find agreement among humans with diverse preferences
NeurIPS 2022
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
NeurIPS 2021
Collaborating with Humans without Human Data
NeurIPS 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
NeurIPS 2021
Learning to Share and Hide Intentions using Information Regularization
NeurIPS 2018
Learning to Learn without Gradient Descent by Gradient Descent
ICML 2017