Alex Lamb
18 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(8)
🌍
Conference Polyglot
(7)
🤝
Dynamic Duo
(11)
🔥
Unstoppable
(7)
💎
Century Club
(18)
📈
Trend Setter
🚀
Conference Pioneer
🗃️
Keyword Collector
(60)
Conferences
ICLR (6)
ICML (5)
AAAI (2)
AISTATS (2)
IJCAI (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
representation learning
(6)
attention mechanism
(2)
semi-supervised learning
(2)
reinforcement learning
(2)
sentiment analysis
(1)
visual observation
(1)
offline reinforcement learning
(1)
disease surveillance
(1)
transfer learning
(1)
domain adaptation
(1)
variational inference
(1)
information bottleneck
(1)
self-supervised learning
(1)
multimodal learning
(1)
social media analysis
(1)
domain generalization
(1)
image translation
(1)
adversarial training
(1)
adversarial robustness
(1)
neural network architecture
(1)
Papers
Towards Improving Exploration through Sibling Augmented GFlowNets
ICLR 2025
The Belief State Transformer
ICLR 2025
Towards Principled Representation Learning from Videos for Reinforcement Learning
ICLR 2024
PcLast: Discovering Plannable Continuous Latent States
ICML 2024
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness
AAAI 2023
Representation Learning in Deep RL via Discrete Information Bottleneck
AISTATS 2023
Principled Offline RL in the Presence of Rich Exogenous Information
ICML 2023
Coordination Among Neural Modules Through a Shared Global Workspace
ICLR 2022
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
AAAI 2021
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
AISTATS 2021
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
ICLR 2021
Recurrent Independent Mechanisms
ICLR 2021
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
ICML 2020
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
WACV 2020
Manifold Mixup: Better Representations by Interpolating Hidden States
ICML 2019
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
ICML 2019
Interpolation Consistency Training for Semi-supervised Learning
IJCAI 2019
Separating Fact from Fear: Tracking Flu Infections on Twitter
NAACL 2013