Devon Hjelm
8 papers · 2016–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver
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Topic Evolution
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Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Types
(4)
Models
(3)
Bayesian & Probabilistic
(2)
Core AI
(2)
Core Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Robotics
(1)
Application Areas
(1)
Architectures
(1)
Keywords
multimodal large language model
(2)
variational inference
(2)
representation learning
(2)
zero-shot learning
(1)
information bottleneck
(1)
adversarial training
(1)
image-to-image translation
(1)
embodied ai
(1)
latent variable model
(1)
monte carlo estimation
(1)
mutual information
(1)
gibbs sampling
(1)
effective sample size
(1)
online reinforcement learning
(1)
generative model
(1)
text-to-image generation
(1)
graphical model
(1)
generative adversarial network
(1)
domain adaptation
(1)
reinforcement learning
(1)
Papers
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons
CVPR 2025
Grounding Multimodal Large Language Models in Actions
NeurIPS 2024
Locality and Compositionality in Zero-Shot Learning
ICLR 2020
Batch Weight for Domain Adaptation With Mass Shift
ICCV 2019
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
ICCV 2019
Mutual Information Neural Estimation
ICML 2018
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
NeurIPS 2017
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
NeurIPS 2016