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Ankit Vani
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2020 – today
- 2024
- [c8]Ankit Vani
, Bac Nguyen
, Samuel Lavoie
, Ranjay Krishna
, Aaron C. Courville
:
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. ECCV (66) 2024: 233-251 - [c7]Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi:
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. ICML 2024 - [i8]Ankit Vani, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron C. Courville:
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. CoRR abs/2404.15721 (2024) - [i7]Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi:
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. CoRR abs/2406.06700 (2024) - 2023
- [c6]Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville:
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. ICLR 2023 - 2022
- [c5]Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville:
On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP 2022: 272-280 - [c4]Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville:
Fortuitous Forgetting in Connectionist Networks. ICLR 2022 - [i6]Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville:
Fortuitous Forgetting in Connectionist Networks. CoRR abs/2202.00155 (2022) - [i5]Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron C. Courville:
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. CoRR abs/2204.00616 (2022) - [i4]Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville:
On the Compositional Generalization Gap of In-Context Learning. CoRR abs/2211.08473 (2022) - 2021
- [c3]Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville:
Iterated learning for emergent systematicity in VQA. ICLR 2021 - [i3]Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville:
Iterated learning for emergent systematicity in VQA. CoRR abs/2105.01119 (2021) - 2020
- [c2]Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien:
GAIT: A Geometric Approach to Information Theory. AISTATS 2020: 2601-2611
2010 – 2019
- 2019
- [i2]Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien:
GEAR: Geometry-Aware Rényi Information. CoRR abs/1906.08325 (2019) - 2017
- [i1]Ankit Vani, Yacine Jernite, David A. Sontag:
Grounded Recurrent Neural Networks. CoRR abs/1705.08557 (2017) - 2015
- [c1]Ramakrishna B. Bairi, Ankit Vani, Pooja Ahuja, Ganesh Ramakrishnan:
Categorising videos using a personalised category catalogue. CODS 2015: 49-58
Coauthor Index

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