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ORCIDAllan Jabri
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Books and Theses
- 2023
[b1]Allan Jabri:
Scalable Binding. University of California, Berkeley, USA, 2023
Conference and Workshop Papers
- 2024
- [c17]Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf:
DORSal: Diffusion for Object-centric Representations of Scenes et al. ICLR 2024 - 2023
- [c16]Allan Jabri, David J. Fleet, Ting Chen:
Scalable Adaptive Computation for Iterative Generation. ICML 2023: 14569-14589 - [c15]Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski:
Diffusion Self-Guidance for Controllable Image Generation. NeurIPS 2023 - [c14]Toru Lin, Allan Jabri:
MIMEx: Intrinsic Rewards from Masked Input Modeling. NeurIPS 2023 - 2022
- [c13]Zhangxing Bian
, Allan Jabri, Alexei A. Efros, Andrew Owens:
Learning Pixel Trajectories with Multiscale Contrastive Random Walks. CVPR 2022: 6498-6509 - [c12]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CVPR 2022: 11779-11788 - [c11]Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon:
Object Permanence Emerges in a Random Walk along Memory. ICML 2022: 21506-21519 - 2020
- [c10]Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal:
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. ICRA 2020: 4051-4058 - [c9]Allan Jabri, Andrew Owens, Alexei A. Efros:
Space-Time Correspondence as a Contrastive Random Walk. NeurIPS 2020 - 2019
- [c8]Xiaolong Wang, Allan Jabri, Alexei A. Efros:
Learning Correspondence From the Cycle-Consistency of Time. CVPR 2019: 2566-2576 - [c7]Allan Jabri, Kyle Hsu, Abhishek Gupta, Ben Eysenbach, Sergey Levine, Chelsea Finn:
Unsupervised Curricula for Visual Meta-Reinforcement Learning. NeurIPS 2019: 10519-10530 - 2018
- [c6]Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn:
Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control. ICML 2018: 4739-4748 - [c5]Douwe Kiela, Alexis Conneau, Allan Jabri, Maximilian Nickel:
Learning Visually Grounded Sentence Representations. NAACL-HLT 2018: 408-418 - 2017
- [c4]Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten:
Learning Visual N-Grams from Web Data. ICCV 2017: 4193-4202 - [c3]Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov:
CommAI: Evaluating the first steps towards a useful general AI. ICLR (Workshop) 2017 - 2016
- [c2]Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache:
Learning Visual Features from Large Weakly Supervised Data. ECCV (7) 2016: 67-84 - [c1]Allan Jabri, Armand Joulin, Laurens van der Maaten:
Revisiting Visual Question Answering Baselines. ECCV (8) 2016: 727-739
Informal and Other Publications
- 2023
- [i17]Toru Lin, Allan Jabri:
MIMEx: Intrinsic Rewards from Masked Input Modeling. CoRR abs/2305.08932 (2023) - [i16]Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski:
Diffusion Self-Guidance for Controllable Image Generation. CoRR abs/2306.00986 (2023) - [i15]Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf:
DORSal: Diffusion for Object-centric Representations of Scenes et al.. CoRR abs/2306.08068 (2023) - 2022
- [i14]Zhangxing Bian, Allan Jabri, Alexei A. Efros, Andrew Owens:
Learning Pixel Trajectories with Multiscale Contrastive Random Walks. CoRR abs/2201.08379 (2022) - [i13]Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert:
Discovering Objects that Can Move. CoRR abs/2203.10159 (2022) - [i12]Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon:
Object Permanence Emerges in a Random Walk along Memory. CoRR abs/2204.01784 (2022) - [i11]Allan Jabri, David J. Fleet, Ting Chen:
Scalable Adaptive Computation for Iterative Generation. CoRR abs/2212.11972 (2022) - 2020
- [i10]Allan Jabri, Andrew Owens, Alexei A. Efros:
Space-Time Correspondence as a Contrastive Random Walk. CoRR abs/2006.14613 (2020) - 2019
- [i9]Xiaolong Wang, Allan Jabri, Alexei A. Efros:
Learning Correspondence from the Cycle-Consistency of Time. CoRR abs/1903.07593 (2019) - [i8]Allan Jabri, Kyle Hsu, Ben Eysenbach, Abhishek Gupta, Sergey Levine, Chelsea Finn:
Unsupervised Curricula for Visual Meta-Reinforcement Learning. CoRR abs/1912.04226 (2019) - [i7]Richard Li, Allan Jabri, Trevor Darrell, Pulkit Agrawal:
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning. CoRR abs/1912.11032 (2019) - 2018
- [i6]Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn:
Universal Planning Networks. CoRR abs/1804.00645 (2018) - 2017
- [i5]Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov:
CommAI: Evaluating the first steps towards a useful general AI. CoRR abs/1701.08954 (2017) - [i4]Douwe Kiela, Alexis Conneau, Allan Jabri, Maximilian Nickel:
Learning Visually Grounded Sentence Representations. CoRR abs/1707.06320 (2017) - 2016
- [i3]Allan Jabri, Armand Joulin, Laurens van der Maaten:
Revisiting Visual Question Answering Baselines. CoRR abs/1606.08390 (2016) - [i2]Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten:
Learning Visual N-Grams from Web Data. CoRR abs/1612.09161 (2016) - 2015
- [i1]Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache:
Learning Visual Features from Large Weakly Supervised Data. CoRR abs/1511.02251 (2015)
Coauthor Index
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