Sachin Mehta

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 78

Top Topics

Diagnosis Of Breast Cancer

Top Venues

Trans. Mach. Learn. Res.

Publications

Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari
Bytes Are All You Need: Transformers Operating Directly On File Bytes. Trans. Mach. Learn. Res. 2024 (2024)
Yuxiang Zhang, Bill Howe, Sachin Mehta, Nicholas Bolten, Anat Caspi
PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery. CoRR (2024)
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. 2024 (2024)
Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR (2024)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. ICLR (2024)
Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR (2024)
Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. CoRR (2024)
Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Seyed-Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. CoRR (2024)
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. CoRR (2023)
Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks. CoRR (2023)
Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton
Diffusion Models as Masked Audio-Video Learners. CoRR (2023)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. CoRR (2023)
Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari
Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR (2023)
Sachin Mehta, Mohammad Rastegari
Separable Self-attention for Mobile Vision Transformers. Trans. Mach. Learn. Res. 2023 (2023)
Yuxiang Zhang, Suresh Devalapalli, Sachin Mehta, Anat Caspi
OASIS: Automated Assessment of Urban Pedestrian Paths at Scale. CoRR (2023)
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR (2023)
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. CoRR (2023)
Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton
On the Efficacy of Multi-scale Data Samplers for Vision Applications. CoRR (2023)
Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. EMNLP (Findings) (2023)
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR (2023)
Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR (2023)
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. ICCV (2023)
Yuxiang Zhang, Nicholas Bolten, Sachin Mehta, Anat Caspi
APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks. CoRR (2023)
Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari
Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR (2023)
Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari
CVNets: High Performance Library for Computer Vision. CoRR (2022)
Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. ECCV (11) (2022)
Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari
DiCENet: Dimension-Wise Convolutions for Efficient Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Beibin Li, James C. Snider, Quan Wang, Sachin Mehta, Claire E. Foster, Erin Barney, Linda G. Shapiro, Pamela Ventola, Frederick Shic
Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. ETRA (2022)
Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari
RangeAugment: Efficient Online Augmentation with Range Learning. CoRR (2022)
Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. CoRR (2022)
Sachin Mehta, Mohammad Rastegari
Separable Self-attention for Mobile Vision Transformers. CoRR (2022)
Shima Nofallah, Mojgan Mokhtari, Wenjun Wu, Sachin Mehta, Stevan Knezevich, Caitlin J. May, Oliver Chang, Annie C. Lee, Joann G. Elmore, Linda G. Shapiro
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net. J. Digit. Imaging 35 (5) (2022)
Sachin Mehta, Mohammad Rastegari
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. ICLR (2022)
Sachin Mehta, Ximing Lu, Wenjun Wu, Donald L. Weaver, Hannaneh Hajishirzi, Joann G. Elmore, Linda G. Shapiro
End-to-End diagnosis of breast biopsy images with transformers. Medical Image Anal. 79 (2022)
Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari
CVNets: High Performance Library for Computer Vision. ACM Multimedia (2022)
Yuxiang Zhang, Sachin Mehta, Anat Caspi
Collecting Sidewalk Network Data at Scale for Accessible Pedestrian Travel. ASSETS (2021)
Sachin Mehta, Mohammad Rastegari
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. CoRR (2021)
Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. EMNLP (1) (2021)
Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra
EVRNet: Efficient Video Restoration on Edge Devices. ACM Multimedia (2021)
Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro
Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832]. Comput. Medical Imaging Graph. 90 (2021)
Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi
DeLighT: Deep and Light-weight Transformer. ICLR (2021)
Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. CoRR (2021)
Wenjun Wu, Sachin Mehta, Shima Nofallah, Stevan Knezevich, Caitlin J. May, Oliver Chang, Joann G. Elmore, Linda G. Shapiro
Scale-Aware Transformers for Diagnosing Melanocytic Lesions. IEEE Access 9 (2021)
Yuxiang Zhang, Sachin Mehta, Anat Caspi
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection. CoRR (2021)
Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro
Machine learning techniques for mitoses classification. Comput. Medical Imaging Graph. 87 (2021)
Ximing Lu, Sachin Mehta, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images. BHI (2021)
Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) (2020)
Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. ICLR (2020)
Nicholas Nuechterlein, Beibin Li, Mehmet Saygin Seyfioglu, Sachin Mehta, Patrick J. Cimino, Linda G. Shapiro
Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction. ICPR (2020)
Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR (2020)
Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. ICPR (2020)
Sachin Mehta, Ximing Lu, Donald L. Weaver, Joann G. Elmore, Hannaneh Hajishirzi, Linda G. Shapiro
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images. CoRR (2020)
Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi
DeLighT: Very Deep and Light-weight Transformer. CoRR (2020)
Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra
EVRNet: Efficient Video Restoration on Edge Devices. CoRR (2020)
Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. CoRR (2020)
Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari
DiCENet: Dimension-wise Convolutions for Efficient Networks. CoRR (2019)
Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro
A Facial Affect Analysis System for Autism Spectrum Disorder. ICIP (2019)
Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling. CoRR (2019)
Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro
A Facial Affect Analysis System for Autism Spectrum Disorder. CoRR (2019)
Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. CVPR (2019)
Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. CoRR (2018)
Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. MICCAI (2) (2018)
Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Learning to Segment Breast Biopsy Whole Slide Images. WACV (2018)
Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
Pyramidal Recurrent Unit for Language Modeling. EMNLP (2018)
Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. ECCV (10) (2018)
Ezgi Mercan, Sachin Mehta, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Automated Diagnosis of Breast Cancer and Pre-invasive Lesions on Digital Whole Slide Images. ICPRAM (2018)
Nicholas Nuechterlein, Sachin Mehta
3D-ESPNet with Pyramidal Refinement for Volumetric Brain Tumor Image Segmentation. BrainLes@MICCAI (2) (2018)
Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network. CoRR (2018)
Sachin Mehta, Amar P. Azad, Saneem A. Chemmengath, Vikas Raykar, Shivkumar Kalyanaraman
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels. WACV (2018)
Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi
Pyramidal Recurrent Unit for Language Modeling. CoRR (2018)
Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. CoRR (2018)
Sachin Mehta, Hannaneh Hajishirzi, Linda G. Shapiro
Identifying Most Walkable Direction for Navigation in an Outdoor Environment. CoRR (2017)
Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro
Learning to Segment Breast Biopsy Whole Slide Images. CoRR (2017)
Sachin Mehta, Amar P. Azad, Saneem A. Chemmengath, Vikas Raykar, Shivkumar Kalyanaraman
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels. CoRR (2017)
Sachin Mehta, Rajarathnam Nallusamy, Balakrishnan Prabhakaran
Scene-based fingerprinting method for traitor tracing. Multim. Syst. 22 (2) (2016)
Sachin Mehta, Balakrishnan Prabhakaran, Rajarathnam Nallusamy, Derrick Newton
mPDF: Framework for Watermarking PDF Files using Image Watermarking Algorithms. CoRR (2016)
Sachin Mehta, Balakrishnan Prabhakaran
Region Graph Based Method for Multi-Object Detection and Tracking using Depth Cameras. CoRR (2016)
Sachin Mehta, Balakrishnan Prabhakaran
Region graph based method for multi-object detection and tracking using depth cameras. WACV (2016)
Sachin Mehta, Balakrishnan Prabhakaran
3D content fingerprinting. ICIP (2014)
Sachin Mehta, Rajarathnam Nallusamy, Ranjeet Vinayak Marawar, Balakrishnan Prabhakaran
A Study of DWT and SVD Based Watermarking Algorithms for Patient Privacy in Medical Images. ICHI (2013)
Sachin Mehta, Vijayaraghavan Varadharajan, Rajarathnam Nallusamy
Tampering resistant self recoverable watermarking method using error correction codes. Int. J. Inf. Comput. Secur. 5 (1) (2012)
Sachin Mehta, Vijayaraghavan Varadharajan, Rajarathnam Nallusamy
On-the-fly Watermarking of Videos for Real-time Applications. ICME Workshops (2012)
Sachin Mehta, Vijayaraghavan Varadharajan, Rajarathnam Nallusamy
Tampering Resistant Dual Watermarking Method for Copyright Protection of Still Images. ADCONS (2011)