David Dohan
13 papers · 2017–2023 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Pioneer
π₯
Mega-Team Β· Legion
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Renaissance Researcher
(7)
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Conference Pioneer
ποΈ
Keyword Collector
(61)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Deep Learning
(6)
Optimization & Theory
(6)
Natural Language Processing
(5)
Learning Paradigms
(5)
Architectures
(4)
Applications
(3)
Learning Types
(3)
Core AI
(2)
Models
(2)
Techniques
(2)
Computer Science
(1)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Keywords
biological sequence design
(2)
large language model
(2)
language model
(2)
hyperparameter optimization
(2)
neural machine translation
(1)
mathematical reasoning
(1)
few-shot learning
(1)
question answering
(1)
domain adaptation
(1)
chain-of-thought reasoning
(1)
data augmentation
(1)
expectation maximization
(1)
neural architecture search
(1)
image translation
(1)
program synthesis
(1)
reading comprehension
(1)
posterior sampling
(1)
markov chain monte carlo
(1)
gaussian process
(1)
attention mechanism
(1)
Papers
EvoPrompting: Language Models for Code-Level Neural Architecture Search
NeurIPS 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
ICML 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Training Chain-of-Thought via Latent-Variable Inference
NeurIPS 2023
Solving Quantitative Reasoning Problems with Language Models
NeurIPS 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
NeurIPS 2022
Latent Programmer: Discrete Latent Codes for Program Synthesis
ICML 2021
Rethinking Attention with Performers
ICLR 2021
Amortized Bayesian Optimization over Discrete Spaces
UAI 2020
Model-based reinforcement learning for biological sequence design
ICLR 2020
Population-Based Black-Box Optimization for Biological Sequence Design
ICML 2020
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
ICLR 2018
Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks
CVPR 2017