Matt Botvinick
8 papers · 2017–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (2) π Academic Marathon (6) π£ Hot Topic Early Bird
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Cross-Pollinator
(13)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(18)
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Trend Setter
Conferences
NIPS (7)
ICML (1)
Top co-authors
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
Meta-in-context learning in large language models
NIPS 2023
Cognitive Model Discovery via Disentangled RNNs
NIPS 2023
Fine-tuning language models to find agreement among humans with diverse preferences
NIPS 2022
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
NIPS 2021
Collaborating with Humans without Human Data
NIPS 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
NIPS 2021
Learning to Share and Hide Intentions using Information Regularization
NIPS 2018
Learning to Learn without Gradient Descent by Gradient Descent
ICML 2017