Ishita Dasgupta

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Learning Systems

Causal Structure

Top Venues

UbiComp/ISWC Adjunct

Publications

Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. CoRR (2024)
Andrew Kyle Lampinen, Stephanie C. Y. Chan, Ishita Dasgupta, Andrew J. Nam, Jane X. Wang
Passive learning of active causal strategies in agents and language models. CoRR (2023)
Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus
Collaborating with language models for embodied reasoning. CoRR (2023)
Theodore Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta
Distilling Internet-Scale Vision-Language Models into Embodied Agents. CoRR (2023)
Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matthew M. Botvinick, Jane X. Wang, Eric Schulz
Meta-Learned Models of Cognition. CoRR (2023)
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths
Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS (2022)
Robert Thompson, Eric Lyons, Ishita Dasgupta, Spyridon Mastorakis, Michael Zink, Susmit Shannigrahi
An Information Centric Framework for Weather Sensing Data. CoRR (2022)
Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie Cy Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
Tell me why! Explanations support learning relational and causal structure. ICML (2022)
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory Matthewson, Michael Henry Tessler, Antonia Creswell, James L. McClelland, Jane X. Wang, Felix Hill
Can language models learn from explanations in context? CoRR (2022)
Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
Learning to Navigate Wikipedia by Taking Random Walks. NeurIPS (2022)
Ishita Dasgupta, Susmit Shannigrahi, Michael Zink
A Hybrid NDN-IP Architecture for Live Video Streaming: From Host-Based to Content-Based Delivery to Improve QoE. Int. J. Semantic Comput. 16 (2) (2022)
Stephanie C. Y. Chan, Ishita Dasgupta, Junkyung Kim, Dharshan Kumaran, Andrew K. Lampinen, Felix Hill
Transformers generalize differently from information stored in context vs in weights. CoRR (2022)
Shuchen Wu, Noémi Élteto, Ishita Dasgupta, Eric Schulz
Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking. NeurIPS (2022)
Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. CoRR (2022)
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR (2022)
Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, Antonia Creswell, Dharshan Kumaran, James L. McClelland, Felix Hill
Language models show human-like content effects on reasoning. CoRR (2022)
Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
Learning to Navigate Wikipedia by Taking Random Walks. CoRR (2022)
Ishita Dasgupta, Erin Grant, Tom Griffiths
Distinguishing rule and exemplar-based generalization in learning systems. ICML (2022)
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan, Kory W. Mathewson, Mh Tessler, Antonia Creswell, James L. McClelland, Jane Wang, Felix Hill
Can language models learn from explanations in context? EMNLP (Findings) (2022)
Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
Distinguishing rule- and exemplar-based generalization in learning systems. CoRR (2021)
Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths
Are Convolutional Neural Networks or Transformers more like human vision? CoRR (2021)
Andrew K. Lampinen, Nicholas A. Roy, Ishita Dasgupta, Stephanie C. Y. Chan, Allison C. Tam, James L. McClelland, Chen Yan, Adam Santoro, Neil C. Rabinowitz, Jane X. Wang, Felix Hill
Tell me why! - Explanations support learning of relational and causal structure. CoRR (2021)
Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby
Passive attention in artificial neural networks predicts human visual selectivity. NeurIPS (2021)
Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby
Passive attention in artificial neural networks predicts human visual selectivity. CoRR (2021)
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
Meta-Learning of Structured Task Distributions in Humans and Machines. ICLR (2021)
Ishita Dasgupta, Susmit Shannigrahi, Michael Zink
A hybrid NDN-IP Architecture for Live Video Streaming: A QoE Analysis. ISM (2021)
Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
Analyzing Machine-Learned Representations: A Natural Language Case Study. Cogn. Sci. 44 (12) (2020)
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths
Meta-Learning of Compositional Task Distributions in Humans and Machines. CoRR (2020)
Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum
Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci (2019)
Ishita Dasgupta, Jane X. Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter W. Battaglia, Matthew Botvinick, Zeb Kurth-Nelson
Causal Reasoning from Meta-reinforcement Learning. CoRR (2019)
Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
Analyzing machine-learned representations: A natural language case study. CoRR (2019)
Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel Gershman, Noah D. Goodman
Evaluating Compositionality in Sentence Embeddings. CogSci (2018)
Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman
Learning to act by integrating mental simulations and physical experiments. CogSci (2018)
Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel J. Gershman, Noah D. Goodman
Evaluating Compositionality in Sentence Embeddings. CoRR (2018)
Jeremy Bernstein, Ishita Dasgupta, David Rolnick, Haim Sompolinsky
Markov Transitions between Attractor States in a Recurrent Neural Network. AAAI Spring Symposia (2017)
Ishita Dasgupta, Eric Schulz, Noah D. Goodman, Samuel J. Gershman
Amortized Hypothesis Generation. CogSci (2017)
Rahul Majethia, Anurag Joshi, Ishita Dasgupta, Meghna Joshi
TicTorque: diagnosing effects of blink tics through mobile EEG headsets. UbiComp/ISWC Adjunct (2015)
Sundara Rajan, Meghna Joshi, Varun Mishra, Ishita Dasgupta, Anurag Joshi, Rahul Majethia
HuMorse: smartphone based unified home automation for the disabled and elderly. UbiComp/ISWC Adjunct (2015)