David Dohan
13 papers · 2017–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (9)
πΊοΈ
Taxonomy Completionist
(29)
π
Conference Polyglot
(6)
π
Academic Marathon
(6)
π₯
Mega-Team
(67)
π
Century Club
(13)
π
Conference Pioneer
Conferences
NIPS (4)
ICLR (3)
ICML (3)
CVPR (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
large language model
(2)
language model
(2)
hyperparameter optimization
(2)
few-shot learning
(1)
program synthesis
(1)
mathematical reasoning
(1)
domain adaptation
(1)
expectation maximization
(1)
neural architecture search
(1)
image translation
(1)
discrete optimization
(1)
posterior sampling
(1)
markov chain monte carlo
(1)
gaussian process
(1)
global optimization
(1)
chain-of-thought reasoning
(1)
source domain
(1)
bayesian optimization
(1)
amortized inference
(1)
black-box optimization
(1)
Papers
EvoPrompting: Language Models for Code-Level Neural Architecture Search
NIPS 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
ICML 2023
Training Chain-of-Thought via Latent-Variable Inference
NIPS 2023
Solving Quantitative Reasoning Problems with Language Models
NIPS 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
NIPS 2022
Rethinking Attention with Performers
ICLR 2021
Latent Programmer: Discrete Latent Codes for Program Synthesis
ICML 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