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; et al. (CoRR, 2021)

Neural Active Learning on Heteroskedastic Distributions. - Savya Khosla; Chew Kin Whye; Jordan T. Ash; Cyril Zhang; Kenji Kawaguchi; Alex Lamb (CoRR, 2022)

S-DCNN: stacked deep convolutional neural networks for malware classification. - Anil Singh Parihar; Shashank Kumar; Savya Khosla (Multim. Tools Appl., 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)

Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. - Savya Khosla; Chew Kin Whye; Jordan T. Ash; Cyril Zhang; Kenji Kawaguchi; Alex Lamb (ECAI, 2023)

Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications. - Savya Khosla; Zhen Zhu 006; Yifei He (CoRR, 2023)

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. - Jiasen Lu; Christopher Clark; Sangho Lee 008; Zichen Zhang 016; Savya Khosla; Ryan Marten; Derek Hoiem; Aniruddha Kembhavi (CVPR, 2024)

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 005 (ACL (1), 2025)

RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations. - Savya Khosla; Sethuraman TV; Alexander G. Schwing; Derek Hoiem (CVPR, 2025)

MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities. - Savya Khosla; Kushal Kafle; Simon Jenni; Handong Zhao; John P. Collomosse; Jing Shi 005 (CoRR, 2025)

REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders. - Savya Khosla; Sethuraman TV; Barnett Lee; Alexander G. Schwing; Derek Hoiem (CoRR, 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, 2025)