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ThinkSum: Probabilistic reasoning over sets using large language models


Oct 04, 2022
Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic

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Diffusion models as plug-and-play priors


Jun 17, 2022
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras

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* code: https://github.com/AlexGraikos/diffusion_priors 
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Resolving label uncertainty with implicit posterior models


Feb 28, 2022
Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic

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* 28 pages; code: https://github.com/estherrolf/implicit-posterior 
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Boosting coherence of language models


Oct 15, 2021
Nikolay Malkin, Zhen Wang, Nebojsa Jojic

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Studying word order through iterative shuffling


Sep 10, 2021
Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic

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* EMNLP 2021 
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Multi-Label Learning from Single Positive Labels


Jun 17, 2021
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic

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* CVPR 2021 
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Video Imprint


Jun 07, 2021
Zhanning Gao, Le Wang, Nebojsa Jojic, Zhenxing Niu, Nanning Zheng, Gang Hua

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* IEEE transactions on pattern analysis and machine intelligence, 41(12), 3086-3099 (2018) 
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Compositional Processing Emerges in Neural Networks Solving Math Problems


May 19, 2021
Jacob Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao

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* 7 pages, 2 figures, Accepted to CogSci 2021 for poster presentation 
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High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest


Jan 04, 2021
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic

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* 10 pages 
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Mining self-similarity: Label super-resolution with epitomic representations


Apr 24, 2020
Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic

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* Submitted to ECCV 2020 
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