Alex M Lamb
6 papers · 2016–2022 · 1 venue · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Architectures
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Generation
(1)
Keywords
representation learning
(2)
recurrent neural network
(2)
adversarial learning
(1)
semi-supervised learning
(1)
image generation
(1)
robotic manipulation
(1)
language modeling
(1)
adversarial domain adaptation
(1)
vector quantization
(1)
gibbs sampling
(1)
sequence learning
(1)
latent variable model
(1)
graphical model
(1)
compositional representation
(1)
goal-conditioned reinforcement learning
(1)
systematic generalization
(1)
deep generative model
(1)
modular architecture
(1)
temporal compression
(1)
teacher forcing
(1)
Papers
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
NeurIPS 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
NeurIPS 2022
Discrete-Valued Neural Communication
NeurIPS 2021
On Adversarial Mixup Resynthesis
NeurIPS 2019
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
NeurIPS 2017
Professor Forcing: A New Algorithm for Training Recurrent Networks
NeurIPS 2016