Savya Khosla

According to our database, Savya Khosla authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory.

Sethuraman TV, Savya Khosla, Vignesh Srinivasakumar, Jiahui Huang, Seoung Wug Oh, Simon Jenni, Derek Hoiem, Joon-Young Lee

CoRR, June, 2025

REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders.

Savya Khosla, Sethuraman TV, Barnett Lee, Alexander G. Schwing, Derek Hoiem

CoRR, May, 2025

MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities.

Savya Khosla, Kushal Kafle, Simon Jenni, Handong Zhao, John P. Collomosse, Jing Shi

CoRR, January, 2025

RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations.

Savya Khosla, Sethuraman TV, Alexander G. Schwing, Derek Hoiem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities.

Savya Khosla, Aditi Tiwari, Kushal Kafle, Simon Jenni, Handong Zhao, John P. Collomosse, Jing Shi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action.

Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications.

Savya Khosla, Zhen Zhu, Yifei He

CoRR, 2023

Understanding and Improving Neural Active Learning on Heteroskedastic Distributions.

Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy.

Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio

Neural Networks, 2022

S-DCNN: stacked deep convolutional neural networks for malware classification.

Anil Singh Parihar, Shashank Kumar, Savya Khosla

Multim. Tools Appl., 2022

Neural Active Learning on Heteroskedastic Distributions.

Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb

CoRR, 2022

2021

MuRIL: Multilingual Representations for Indian Languages.

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

CoRR, 2021