Leo Feng

8 papers · 2021–2025 · 3 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

ICLR (5) ICML (2) JMLR (1)

Top co-authors

Yoshua Bengio (5) Hossein Hajimirsadeghi (4) Mohamed Osama Ahmed (4) Frederick Tung (2) Katja Hofmann (2) Maximilian Igl (2) Cong Lu (2) Shimon Whiteson (2) Giancarlo Kerg (1) Sebastian Schulze (1)

Research topics

Artificial Intelligence (6) Machine Learning (5) Deep Learning (4) Learning Paradigms (4) Architectures (3) Learning Types (3) Reinforcement Learning (2) Application Areas (2) Core AI (2) Methods (2) Models (2) Optimization & Theory (2) Bayesian & Probabilistic (1) Core Methods (1)

Keywords

cross attention (2) stochastic gradient descent (1) semi-supervised learning (1) few-shot learning (1) approximate inference (1) variational inference (1) attention mechanism (1) token efficiency (1) exploration-exploitation tradeoff (1) selective classification (1) bayes-optimal policy (1) amortized inference (1) tree structure (1) latent variable (1) entropy regularization (1) meta-reinforcement learning (1) sparse reward (1) uncertainty estimation (1) exploration bonus (1) generative flow network (1)

Papers

Adaptive teachers for amortized samplers ICLR 2025 Memory Efficient Neural Processes via Constant Memory Attention Block ICML 2024 Tree Cross Attention ICLR 2024 Latent Bottlenecked Attentive Neural Processes ICLR 2023 Towards Better Selective Classification ICLR 2023 Continuous-Time Meta-Learning with Forward Mode Differentiation ICLR 2022 Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning ICML 2021 VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021