Sean J Welleck
Sean J Welleck
PhD Student, New York University
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Neural text generation with unlikelihood training
S Welleck, I Kulikov, S Roller, E Dinan, K Cho, J Weston
International Conference on Learning Representations (ICLR) 2020, 2019
862019
Non-Monotonic Sequential Text Generation
S Welleck, K Brantley, H Daumé III, K Cho
International Conference on Machine Learning (ICML) 2019, 2019
682019
Dialogue natural language inference
S Welleck, J Weston, A Szlam, K Cho
ACL 2019, 2018
652018
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training
M Li, S Roller, I Kulikov, S Welleck, YL Boureau, K Cho, J Weston
ACL 2020, 2019
332019
A generalized framework of sequence generation with application to undirected sequence models
E Mansimov, A Wang, S Welleck, K Cho
arXiv preprint arXiv:1905.12790, 2019
232019
Saliency-based sequential image attention with multiset prediction
S Welleck, J Mao, K Cho, Z Zhang
arXiv preprint arXiv:1711.05165, 2017
152017
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
S Welleck, I Kulikov, J Kim, RY Pang, K Cho
EMNLP 2020, 2020
132020
Loss Functions for Multiset Prediction
S Welleck, Z Yao, Y Gai, J Mao, Z Zhang, K Cho
Advances in Neural Information Processing Systems, 5783-5792, 2018
112018
Generating weights for biometric tokens in probabilistic matching systems
M Poplavski, S Schumacher, P Snehal, SJ Welleck, A Xia, Y Zhou
US Patent 9,253,189, 2016
72016
Efficient AUC optimization for information ranking applications
SJ Welleck
European conference on information retrieval, 159-170, 2016
52016
Facial image bucketing with expectation maximization and facial coordinates
M Poplavski, S Schumacher, P Snehal, SJ Welleck, A Xia, Y Zhou
US Patent 9,639,739, 2017
42017
MLE-guided parameter search for task loss minimization in neural sequence modeling
S Welleck, K Cho
arXiv preprint arXiv:2006.03158, 2020
32020
Non-monotonic sequential text generation
K Brantley, K Cho, H Daumé III, S Welleck
Proceedings of the 2019 Workshop on Widening NLP, 57-59, 2019
12019
Sequential Graph Dependency Parser
S Welleck, K Cho
Recent Advances in Natural Language Processing (RANLP) 2019, 2019
12019
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral
L Liu, K Pillutla, S Welleck, S Oh, Y Choi, Z Harchaoui
arXiv preprint arXiv:2106.07898, 2021
2021
Mode recovery in neural autoregressive sequence modeling
I Kulikov, S Welleck, K Cho
arXiv preprint arXiv:2106.05459, 2021
2021
NaturalProofs: Mathematical Theorem Proving in Natural Language
S Welleck, J Liu, RL Bras, H Hajishirzi, Y Choi, K Cho
arXiv preprint arXiv:2104.01112, 2021
2021
Order and Learning in Sequential Neural Structured Prediction
S Welleck
New York University, 2021
2021
Supplementary Materials: Saliency-based Sequential Image Attention with Multiset Prediction
S Welleck, J Mao, K Cho, Z Zhang
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Articles 1–19