no code implementations • 28 Dec 2023 • Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
We present Unified-IO 2, the first autoregressive multimodal model that is capable of understanding and generating image, text, audio, and action.
no code implementations • 11 Dec 2023 • Savya Khosla, Zhen Zhu, Yifei He
This paper explores Memory-Augmented Neural Networks (MANNs), delving into how they blend human-like memory processes into AI.
1 code implementation • 2 Nov 2022 • Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb
To this end, we demonstrate the catastrophic failure of these active learning algorithms on heteroskedastic distributions and propose a fine-tuning-based approach to mitigate these failures.
1 code implementation • 19 Mar 2021 • 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 Talukdar
This can be explained by the fact that multilingual language models (LMs) are often trained on 100+ languages together, leading to a small representation of IN languages in their vocabulary and training data.
3 code implementations • 16 Jun 2019 • Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio
Adversarial robustness has become a central goal in deep learning, both in the theory and the practice.