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Sachin Mehta
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2020 – today
- 2024
- [j11]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) - [j10]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) - [c31]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 - [c30]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 - [i41]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 abs/2404.14619 (2024) - [i40]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 abs/2404.15653 (2024) - [i39]Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi:
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR abs/2407.14057 (2024) - [i38]Yuxiang Zhang, Bill Howe, Sachin Mehta, Nicholas Bolten, Anat Caspi:
PathwayBench: Assessing Routability of Pedestrian Pathway Networks Inferred from Multi-City Imagery. CoRR abs/2407.16875 (2024) - 2023
- [j9]Sachin Mehta, Mohammad Rastegari:
Separable Self-attention for Mobile Vision Transformers. Trans. Mach. Learn. Res. 2023 (2023) - [c29]Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi:
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. EMNLP (Findings) 2023: 10519-10532 - [c28]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: 16986-16997 - [i37]Yuxiang Zhang, Suresh Devalapalli, Sachin Mehta, Anat Caspi:
OASIS: Automated Assessment of Urban Pedestrian Paths at Scale. CoRR abs/2303.02287 (2023) - [i36]Yuxiang Zhang, Nicholas Bolten, Sachin Mehta, Anat Caspi:
APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks. CoRR abs/2303.02323 (2023) - [i35]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 abs/2303.08983 (2023) - [i34]Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR abs/2306.00238 (2023) - [i33]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 abs/2309.04502 (2023) - [i32]Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton:
Diffusion Models as Masked Audio-Video Learners. CoRR abs/2310.03937 (2023) - [i31]Seyed-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 abs/2310.04564 (2023) - [i30]Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi:
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks. CoRR abs/2310.12126 (2023) - [i29]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 abs/2310.14108 (2023) - [i28]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 abs/2310.15308 (2023) - [i27]Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri:
TiC-CLIP: Continual Training of CLIP Models. CoRR abs/2310.16226 (2023) - [i26]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 abs/2311.18237 (2023) - [i25]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 abs/2312.09299 (2023) - 2022
- [j8]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): 1238-1249 (2022) - [j7]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: 102466 (2022) - [j6]Sachin Mehta
, Hannaneh Hajishirzi
, Mohammad Rastegari:
DiCENet: Dimension-Wise Convolutions for Efficient Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2416-2425 (2022) - [c27]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: 553-568 - [c26]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: 17:1-17:7 - [c25]Sachin Mehta, Mohammad Rastegari:
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. ICLR 2022 - [c24]Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari:
CVNets: High Performance Library for Computer Vision. ACM Multimedia 2022: 7327-7330 - [i24]Sachin Mehta, Farzad Abdolhosseini, Mohammad Rastegari:
CVNets: High Performance Library for Computer Vision. CoRR abs/2206.02002 (2022) - [i23]Sachin Mehta, Mohammad Rastegari:
Separable Self-attention for Mobile Vision Transformers. CoRR abs/2206.02680 (2022) - [i22]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 abs/2207.10237 (2022) - [i21]Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari:
RangeAugment: Efficient Online Augmentation with Range Learning. CoRR abs/2212.10553 (2022) - 2021
- [j5]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: 163526-163541 (2021) - [j4]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: 101832 (2021) - [j3]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: 101903 (2021) - [c23]Yuxiang Zhang, Sachin Mehta, Anat Caspi:
Collecting Sidewalk Network Data at Scale for Accessible Pedestrian Travel. ASSETS 2021: 56:1-56:4 - [c22]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: 1-4 - [c21]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: 1864-1886 - [c20]Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
DeLighT: Deep and Light-weight Transformer. ICLR 2021 - [c19]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: 983-992 - [i20]Yuxiang Zhang, Sachin Mehta, Anat Caspi:
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection. CoRR abs/2101.08418 (2021) - [i19]Sachin Mehta, Mohammad Rastegari:
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer. CoRR abs/2110.02178 (2021) - [i18]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 abs/2112.00800 (2021) - 2020
- [c18]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: 2112-2120 - [c17]Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. ICLR 2020 - [c16]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: 7149-7156 - [c15]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: 8727-8734 - [i17]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 abs/2007.13007 (2020) - [i16]Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
DeLighT: Very Deep and Light-weight Transformer. CoRR abs/2008.00623 (2020) - [i15]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 abs/2010.06000 (2020) - [i14]Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra:
EVRNet: Efficient Video Restoration on Edge Devices. CoRR abs/2012.02228 (2020) - [i13]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 abs/2012.06136 (2020)
2010 – 2019
- 2019
- [c14]Sachin Mehta
, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. CVPR 2019: 9190-9200 - [c13]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: 4549-4553 - [i12]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 abs/1904.03616 (2019) - [i11]Sachin Mehta, Hannaneh Hajishirzi, Mohammad Rastegari:
DiCENet: Dimension-wise Convolutions for Efficient Networks. CoRR abs/1906.03516 (2019) - [i10]Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling. CoRR abs/1911.12385 (2019) - 2018
- [c12]Sachin Mehta
, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. ECCV (10) 2018: 561-580 - [c11]Sachin Mehta
, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
Pyramidal Recurrent Unit for Language Modeling. EMNLP 2018: 4620-4630 - [c10]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: 60-68 - [c9]Nicholas Nuechterlein, Sachin Mehta
:
3D-ESPNet with Pyramidal Refinement for Volumetric Brain Tumor Image Segmentation. BrainLes@MICCAI (2) 2018: 245-253 - [c8]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: 893-901 - [c7]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: 333-342 - [c6]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: 663-672 - [i9]Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. CoRR abs/1803.06815 (2018) - [i8]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 abs/1806.01313 (2018) - [i7]Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
Pyramidal Recurrent Unit for Language Modeling. CoRR abs/1808.09029 (2018) - [i6]Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network. CoRR abs/1811.11431 (2018) - 2017
- [i5]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Learning to Segment Breast Biopsy Whole Slide Images. CoRR abs/1709.02554 (2017) - [i4]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 abs/1710.03811 (2017) - [i3]Sachin Mehta, Hannaneh Hajishirzi, Linda G. Shapiro:
Identifying Most Walkable Direction for Navigation in an Outdoor Environment. CoRR abs/1711.08040 (2017) - 2016
- [j2]Sachin Mehta, Rajarathnam Nallusamy, Balakrishnan Prabhakaran:
Scene-based fingerprinting method for traitor tracing. Multim. Syst. 22(2): 197-211 (2016) - [c5]Sachin Mehta, Balakrishnan Prabhakaran:
Region graph based method for multi-object detection and tracking using depth cameras. WACV 2016: 1-8 - [i2]Sachin Mehta, Balakrishnan Prabhakaran:
Region Graph Based Method for Multi-Object Detection and Tracking using Depth Cameras. CoRR abs/1603.03783 (2016) - [i1]Sachin Mehta, Balakrishnan Prabhakaran, Rajarathnam Nallusamy, Derrick Newton:
mPDF: Framework for Watermarking PDF Files using Image Watermarking Algorithms. CoRR abs/1610.02443 (2016) - 2014
- [c4]Sachin Mehta, Balakrishnan Prabhakaran:
3D content fingerprinting. ICIP 2014: 4797-4801 - 2013
- [c3]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: 287-296 - 2012
- [j1]Sachin Mehta, Vijayaraghavan Varadharajan, Rajarathnam Nallusamy:
Tampering resistant self recoverable watermarking method using error correction codes. Int. J. Inf. Comput. Secur. 5(1): 28-47 (2012) - [c2]Sachin Mehta, Vijayaraghavan Varadharajan, Rajarathnam Nallusamy:
On-the-fly Watermarking of Videos for Real-time Applications. ICME Workshops 2012: 55-60 - 2011
- [c1]Sachin Mehta, Vijayaraghavan Varadharajan, Rajarathnam Nallusamy:
Tampering Resistant Dual Watermarking Method for Copyright Protection of Still Images. ADCONS 2011: 575-582
Coauthor Index
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