R Devon Hjelm

19 papers · 2018–2025 · 8 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (11)

🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) 🏆 Grand Slam 🚀 Conference Pioneer ⚡ Prolific Year (5) 🔥 Unstoppable (5) 💎 Century Club (19) 📈 Trend Setter

Conferences

ICLR (8) NIPS (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)

Keywords

representation learning (7) mutual information (4) contrastive learning (2) unsupervised learning (1) neural tangent kernel (1) embedding learning (1) metric learning (1) continual learning (1) continuous control (1) adversarial learning (1) semi-supervised learning (1) feature extraction (1) deep learning theory (1) self-supervised learning (1) language modeling (1) reinforcement learning (1) scene graph (1) deep reinforcement learning (1) feature alignment (1) wasserstein distance (1)

Papers

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