Daniel Tarlow
30 papers · 2006–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (5)
π
Academic Marathon
(18)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(2)
π
Century Club
(30)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
β
The Questioner
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(144)
Conferences
NIPS (14)
ICML (7)
AISTATS (4)
CVPR (3)
ICLR (2)
Top co-authors
Keywords
message passing
(4)
code generation
(3)
graph neural network
(3)
graphical model
(3)
source code
(3)
variational inference
(3)
program understanding
(2)
high order potential
(2)
structured output learning
(2)
combinatorial optimization
(2)
generative model
(2)
map inference
(2)
structured prediction
(2)
large language model
(2)
image segmentation
(2)
probabilistic inference
(2)
expectation propagation
(2)
markov random field
(2)
feature extraction
(1)
transfer learning
(1)
Papers
Experts Donβt Cheat: Learning What You Donβt Know By Predicting Pairs
ICML 2024
Repository-Level Prompt Generation for Large Language Models of Code
ICML 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
ICML 2023
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
ICLR 2023
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
NIPS 2021
Learning to Combine Per-Example Solutions for Neural Program Synthesis
NIPS 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
NIPS 2021
Learning Generalized Gumbel-max Causal Mechanisms
NIPS 2021
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
NIPS 2020
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
ICLR 2020
Learning Graph Structure With A Finite-State Automaton Layer
NIPS 2020
Gradient Estimation with Stochastic Softmax Tricks
NIPS 2020
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
NIPS 2020
Differentiable Programs with Neural Libraries
ICML 2017
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization
CVPR 2016
Consensus Message Passing for Layered Graphical Models
AISTATS 2015
Bimodal Modelling of Source Code and Natural Language
ICML 2015
Structured Generative Models of Natural Source Code
ICML 2014
A* Sampling
NIPS 2014
Just-In-Time Learning for Fast and Flexible Inference
NIPS 2014
Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters
CVPR 2014
Exploring Compositional High Order Pattern Potentials for Structured Output Learning
CVPR 2013
Learning to Pass Expectation Propagation Messages
NIPS 2013
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
ICML 2013
Structured Output Learning with High Order Loss Functions
AISTATS 2012
Probabilistic n-Choose-k Models for Classification and Ranking
NIPS 2012
Cardinality Restricted Boltzmann Machines
NIPS 2012
Randomized Optimum Models for Structured Prediction
AISTATS 2012
HOP-MAP: Efficient Message Passing with High Order Potentials
AISTATS 2010
Using Combinatorial Optimization within Max-Product Belief Propagation
NIPS 2006