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R Devon Hjelm

19 papers · 2018–2025 · 8 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (31) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ† Grand Slam
πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (66) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze

Venues

ICLR (8) NeurIPS (5) AAAI (1) AISTATS (1) CoRL (1) CVPR (1) ICML (1) NAACL (1)

Top co-authors

Yoshua Bengio (6) Bogdan Mazoure (5) Philip Bachman (4) Ankesh Anand (3) Max Schwarzer (3) Alexander T Toshev (2) Adam Trischler (2) Aaron Courville (2) Farnoosh Ghadiri (1) Thang Long Doan (1)

Research topics

Machine Learning (14) Learning Types (13) Core Methods (9) Artificial Intelligence (6) Deep Learning (5) Learning Paradigms (5) Architectures (3) Core AI (3) Models (3) Reinforcement Learning (2) Methods (2) Computer Vision (1) Natural Language Processing (1) Applications Β· Natural Language Processing (1) Applications Β· Reinforcement Learning (1)

Keywords

representation learning (11) mutual information (6) reinforcement learning (5) unsupervised learning (3) self-supervised learning (3) contrastive learning (3) policy gradient (2) adversarial learning (2) large language model (2) generative adversarial network (2) feature extraction (1) reward modeling (1) semi-supervised learning (1) neural tangent kernel (1) natural language generation (1) metric learning (1) data augmentation (1) continual learning (1) sequential decision making (1) embedding learning (1)

Papers

On the Modeling Capabilities of Large Language Models for Sequential Decision Making ICLR 2025 Large Language Models as Generalizable Policies for Embodied Tasks ICLR 2024 Poly-View Contrastive Learning ICLR 2024 Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL ICLR 2022 Robust Contrastive Learning Against Noisy Views CVPR 2022 Data-Efficient Reinforcement Learning with Self-Predictive Representations ICLR 2021 Implicit Regularization via Neural Feature Alignment AISTATS 2021 Object-Centric Image Generation from Layouts AAAI 2021 Pretraining Representations for Data-Efficient Reinforcement Learning NeurIPS 2021 Understanding by Understanding Not: Modeling Negation in Language Models NAACL 2021 An end-to-end approach for the verification problem: learning the right distance ICML 2020 Deep Reinforcement and InfoMax Learning NeurIPS 2020 Deep Graph Infomax ICLR 2019 Learning deep representations by mutual information estimation and maximization ICLR 2019 Learning Representations by Maximizing Mutual Information Across Views NeurIPS 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 On Adversarial Mixup Resynthesis NeurIPS 2019 Unsupervised State Representation Learning in Atari NeurIPS 2019 Boundary Seeking GANs ICLR 2018