Daniel Tarlow
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
10
Active years
2008–2024
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs. | Daniel D. Johnson, Daniel Tarlow, David Duvenaud, Chris J. Maddison |
| 2024 | ICSE | Resolving Code Review Comments with Machine Learning. | Alexander Frmmgen, Jacob Austin, Peter Choy, Nimesh Ghelani, Lera Kharatyan, Gabriela Surita, Elena Khrapko, Pascal Lamblin, Pierre-Antoine Manzagol, Marcus Revaj, Maxim Tabachnyk, Daniel Tarlow, Kevin Villela, Daniel Zheng, Satish Chandra, Petros Maniatis |
| 2023 | ICLR | Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. | David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow |
| 2023 | ICML | R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. | Daniel D. Johnson, Daniel Tarlow, Christian Walder |
| 2023 | ICML | Repository-Level Prompt Generation for Large Language Models of Code. | Disha Shrivastava, Hugo Larochelle, Daniel Tarlow |
| 2020 | ICLR | Learning Execution through Neural Code fusion. | Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi |
| 2020 | ICSE | Learning to Fix Build Errors with Graph2Diff Neural Networks. | Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian |
| 2018 | ICLR | Graph Partition Neural Networks for Semi-Supervised Classification. | Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard S. Zemel |
| 2017 | ICLR | DeepCoder: Learning to Write Programs. | Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow |
| 2017 | ICLR | Neural Functional Programming. | John K. Feser, Marc Brockschmidt, Alexander L. Gaunt, Daniel Tarlow |
| 2017 | ICLR | Lifelong Perceptual Programming By Example. | Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow |
| 2017 | ICLR | Batch Policy Gradient Methods for Improving Neural Conversation Models. | Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter |
| 2017 | ICLR | Neural Program Lattices. | Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman |
| 2017 | ICML | Differentiable Programs with Neural Libraries. | Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow |
| 2017 | SAS | Learning Shape Analysis. | Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow |
| 2016 | CVPR | Fits Like a Glove: Rapid and Reliable Hand Shape Personalization. | David Joseph Tan, Thomas J. Cashman, Jonathan Taylor, Andrew W. Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton |
| 2015 | AISTATS | Consensus Message Passing for Layered Graphical Models. | Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn |
| 2015 | ESOP | Probabilistic Programs as Spreadsheet Queries. | Andrew D. Gordon, Claudio V. Russo, Marcin Szymczak, Johannes Borgstrm, Nicolas Rolland, Thore Graepel, Daniel Tarlow |
| 2015 | ICCV | Optimizing Expected Intersection-Over-Union with Candidate-Constrained CRFs. | Faruk Ahmed, Daniel Tarlow, Dhruv Batra |
| 2015 | ICML | Bimodal Modelling of Source Code and Natural Language. | Miltiadis Allamanis, Daniel Tarlow, Andrew D. Gordon, Yi Wei |
| 2015 | UAI | Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts. | Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, Pushmeet Kohli |
| 2014 | AISTATS | Learning Structured Models with the AUC Loss and Its Generalizations. | Nir Rosenfeld, Ofer Meshi, Daniel Tarlow, Amir Globerson |
| 2014 | CVPR | Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters. | Vittal Premachandran, Daniel Tarlow, Dhruv Batra |
| 2014 | ICML | Structured Generative Models of Natural Source Code. | Chris J. Maddison, Daniel Tarlow |
| 2013 | CVPR | Exploring Compositional High Order Pattern Potentials for Structured Output Learning. | Yujia Li, Daniel Tarlow, Richard S. Zemel |
| 2013 | ICML | Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning. | Daniel Tarlow, Kevin Swersky, Laurent Charlin, Ilya Sutskever, Richard S. Zemel |
| 2013 | UAI | Tighter Linear Program Relaxations for High Order Graphical Models. | Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss |
| 2012 | CVPR | Revisiting uncertainty in graph cut solutions. | Daniel Tarlow, Ryan Prescott Adams |
| 2012 | UAI | Fast Exact Inference for Recursive Cardinality Models. | Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey |
| 2011 | ICML | Dynamic Tree Block Coordinate Ascent. | Daniel Tarlow, Dhruv Batra, Pushmeet Kohli, Vladimir Kolmogorov |
| 2011 | UAI | Graph Cuts is a Max-Product Algorithm. | Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel, Brendan J. Frey |
| 2008 | ECCV | Unsupervised Learning of Skeletons from Motion. | David A. Ross, Daniel Tarlow, Richard S. Zemel |
| 2008 | UAI | Flexible Priors for Exemplar-based Clustering. | Daniel Tarlow, Richard S. Zemel, Brendan J. Frey |