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2020 – today
- 2023
[c3]Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang:
Learning to Learn: How to Continuously Teach Humans and Machines. ICCV 2023: 11674-11685- [c2]Ankur Sikarwar, Mengmi Zhang:
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory. NeurIPS 2023 - [i6]Ankur Sikarwar, Mengmi Zhang:
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory. CoRR abs/2307.10768 (2023) - 2022
- [c1]Ankur Sikarwar
, Arkil Patel, Navin Goyal:
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks. EMNLP 2022: 648-669 - [i5]Ankur Sikarwar, Gabriel Kreiman:
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering. CoRR abs/2201.03965 (2022) - [i4]Ankur Sikarwar, Arkil Patel, Navin Goyal:
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks. CoRR abs/2210.12786 (2022) - [i3]Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang:
Reason from Context with Self-supervised Learning. CoRR abs/2211.12817 (2022) - [i2]Mengmi Zhang, Giorgia Dellaferrera, Ankur Sikarwar, Marcelo Armendáriz, Noga Mudrik, Prachi Agrawal, Spandan Madan, Andrei Barbu, Haochen Yang, Tanishq Kumar, Meghna Sadwani, Stella Dellaferrera, Michele Pizzochero, Hanspeter Pfister, Gabriel Kreiman:
Human or Machine? Turing Tests for Vision and Language. CoRR abs/2211.13087 (2022) - [i1]Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang:
Learning to Learn: How to Continuously Teach Humans and Machines. CoRR abs/2211.15470 (2022)
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