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ORCIDInes Chami
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- affiliation: Stanford University, USA
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2020 – today
- 2023
[c10]Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré:
Ask Me Anything: A simple strategy for prompting language models. ICLR 2023- 2022
- [j2]Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. J. Mach. Learn. Res. 23: 89:1-89:64 (2022) - [j1]Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré:
Can Foundation Models Wrangle Your Data? Proc. VLDB Endow. 16(4): 738-746 (2022) - [c9]Ines Chami, Sofiane Chiheb
, Abdelhak Djellad, Nacer Bouderres:
Investigation on low frequency parameter of WTGS buried in homogeneous and stratified soil. SSD 2022: 118-122 - [c8]Ines Chami, Sofiane Chiheb, Abdelhak Djellad, Nacer Bouderres:
Optimization of grounding conductor in WPP. SSD 2022: 303-308 - [i8]Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré:
Can Foundation Models Wrangle Your Data? CoRR abs/2205.09911 (2022) - [i7]Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré:
Ask Me Anything: A simple strategy for prompting language models. CoRR abs/2210.02441 (2022) - 2021
- [c7]Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré:
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. ICML 2021: 1419-1429 - [i6]Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré:
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. CoRR abs/2106.03306 (2021) - 2020
- [c6]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL 2020: 6901-6914 - [c5]Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré:
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. NeurIPS 2020 - [i5]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR abs/2005.00545 (2020) - [i4]Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. CoRR abs/2005.03675 (2020) - [i3]Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré:
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. CoRR abs/2010.00402 (2020)
2010 – 2019
- 2019
- [c4]Ines Chami, Zhitao Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. NeurIPS 2019: 4869-4880 - [i2]Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. CoRR abs/1910.12933 (2019) - 2018
- [c3]Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei:
Referring Relationships. CVPR 2018: 6867-6876 - [i1]Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei:
Referring Relationships. CoRR abs/1803.10362 (2018) - 2017
- [c2]Ines Chami, Youssef Tamaazousti, Hervé Le Borgne:
AMECON: Abstract Meta-Concept Features for Text-Illustration. ICMR 2017: 347-355 - 2016
- [c1]Hervé Le Borgne, Etienne Gadeski, Ines Chami, Thi Quynh Nhi Tran, Youssef Tamaazousti, Alexandru-Lucian Gînsca, Adrian Popescu:
Image Annotation and Two Paths to Text Illustration. CLEF (Working Notes) 2016: 322-333
Coauthor Index
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