Edward J Hu
6 papers · 2022–2024 · 2 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
📈
Trend Setter
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Natural Language Processing
(3)
Core AI
(3)
Architectures
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Optimization & Theory
(2)
Generation
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Resources & Methods
(1)
Understanding
(1)
Keywords
generative flow network
(2)
variational inference
(2)
large language model
(2)
chain-of-thought reasoning
(1)
semantic parsing
(1)
expectation maximization
(1)
compositional generalization
(1)
posterior distribution
(1)
importance sampling
(1)
gradient descent
(1)
latent variable model
(1)
multimodal distribution
(1)
variational autoencoder
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
off-policy training
(1)
model performance
(1)
multi-layer perceptron
(1)
trainable parameter
(1)
discrete structure
(1)
Papers
Amortizing intractable inference in large language models
ICLR 2024
Differentiable Tree Operations Promote Compositional Generalization
ICML 2023
GFlowNet-EM for Learning Compositional Latent Variable Models
ICML 2023
GFlowNets and variational inference
ICLR 2023
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features
ICLR 2022
LoRA: Low-Rank Adaptation of Large Language Models
ICLR 2022