Ankur Sikarwar

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 9

Top Topics

Definite Clause

Short Term Memory

Supervised Learning

Top Venues

Publications

Ankur Sikarwar, Mengmi Zhang
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory. NeurIPS (2023)
Ankur Sikarwar, Mengmi Zhang
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory. CoRR (2023)
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)
Ankur Sikarwar, Arkil Patel, Navin Goyal
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks. CoRR (2022)
Ankur Sikarwar, Arkil Patel, Navin Goyal
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks. EMNLP (2022)
Ankur Sikarwar, Gabriel Kreiman
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering. CoRR (2022)
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 (2022)
Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang
Reason from Context with Self-supervised Learning. CoRR (2022)
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 (2022)