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2020 – today
- 2024
[c2]Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi:
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CVPR 2024: 26429-26445- 2023
- [c1]Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb:
Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. ECAI 2023: 1248-1255 - [i4]Savya Khosla, Zhen Zhu
, Yifei He:
Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications. CoRR abs/2312.06141 (2023) - [i3]Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi:
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CoRR abs/2312.17172 (2023) - 2022
- [j2]Anil Singh Parihar, Shashank Kumar, Savya Khosla:
S-DCNN: stacked deep convolutional neural networks for malware classification. Multim. Tools Appl. 81(21): 30997-31015 (2022) - [j1]Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks 154: 218-233 (2022) - [i2]Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb:
Neural Active Learning on Heteroskedastic Distributions. CoRR abs/2211.00928 (2022) - 2021
- [i1]Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, Savya Khosla, Atreyee Dey, Balaji Gopalan, Dilip Kumar Margam, Pooja Aggarwal, Rajiv Teja Nagipogu, Shachi Dave, Shruti Gupta, Subhash Chandra Bose Gali, Vish Subramanian, Partha P. Talukdar:
MuRIL: Multilingual Representations for Indian Languages. CoRR abs/2103.10730 (2021)
Coauthor Index
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