Disha Shrivastava
Disha Shrivastava
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Repository-level prompt generation for large language models of code
D Shrivastava, H Larochelle, D Tarlow
International Conference on Machine Learning, 31693-31715, 2023
Learning to combine per-example solutions for neural program synthesis
D Shrivastava, H Larochelle, D Tarlow
Advances in Neural Information Processing Systems 34, 6102-6114, 2021
Minimax and neyman-pearson meta-learning for outlier languages
EM Ponti, R Aralikatte, D Shrivastava, S Reddy, A Søgaard
arXiv preprint arXiv:2106.01051, 2021
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark
D Shrivastava, S Chaudhury, D Jayadeva
arXiv preprint arXiv:1708.05840, 2017
A Machine Learning Approach for Evaluating Creative Artifacts
D Shrivastava, SA CG, A Laha, K Sankaranarayanan
SIGKDD Workshop on Machine Learning for Creativity (ML4Creativity), 2017
RepoFusion: Training Code Models to Understand Your Repository
D Shrivastava, D Kocetkov, H de Vries, D Bahdanau, T Scholak
arXiv preprint arXiv:2306.10998v1, 2023
Displaying dynamic content on multiple devices
A Laha, V Ekambaram, P Jain, D Shrivastava
US Patent 10,664,217, 2020
On-the-Fly Adaptation of Source Code Models
D Shrivastava, H Larochelle, D Tarlow
NeurIPS Workshop on Computer-Assisted Programming, 2020
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
System and method to implement a cognitive quit smoking assistant
PS Dayama, D Shrivastava
US Patent App. 15/811,964, 2019
Modeling topical coherence in discourse without supervision
D Shrivastava, A Mishra, K Sankaranarayanan
arXiv preprint arXiv:1809.00410, 2018
A Design Space for Intelligent and Interactive Writing Assistants
M Lee, KI Gero, JJY Chung, SB Shum, V Raheja, H Shen, S Venugopalan, ...
arXiv preprint arXiv:2403.14117, 2024
Approach intelligent writing assistants usability with seven stages of action
A Bhat, D Shrivastava, JLC Guo
arXiv preprint arXiv:2304.02822, 2023
Transfer Learning by Modeling a Distribution over Policies
D Shrivastava, EG Dhekane, R Islam
ICML Workshop on Multi-Task and Lifelong Reinforcement Learning, 2019
Contextual cues for deep learning models of code
D Shrivastava
Automated constraint extraction and testing
S Kenkre, SRK Penubothula, D Shrivastava, HG Ramaswamy, V Pandit
US Patent 11,354,502, 2022
Cognitive assistant for co-generating creative content
A Sankaran, P Lohia, P Agrawal, D Shrivastava, A Laha, P Jain
US Patent 11,301,640, 2022
Automated constraint extraction and testing
S Kenkre, SRK Penubothula, D Shrivastava, HG Ramaswamy, V Pandit
US Patent 10,902,200, 2021
What is deemed computationally creative?
S Agrawal, A Sankaran, A Laha, SA Chemmengath, D Shrivastava, ...
IBM Journal of Research and Development 63 (1), 3: 1-3: 12, 2019
The system can't perform the operation now. Try again later.
Articles 1–20