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Fartash Faghri · SciRah

Researcher profile · Semantic Scholar

Fartash Faghri

University of Toronto

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Fartash Faghri — researcher profile on SciRah

h-index: 20
Works: 46
Citations: 4,306

Most-cited papers

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
Fartash Faghri, David J. Fleet, J. Kiros, S. Fidler
2017British Machine Vision Conference1,431 citations
Semantic Scholar
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, I. Goodfellow +22 more
2016551 citations
Semantic Scholar
DataComp-LM: In search of the next generation of training sets for language models
Jeffrey Li, Alex Fang, G. Smyrnis, Maor Ivgi +55 more
2024Neural Information Processing Systems458 citations
Semantic Scholar
Adversarial Spheres
J. Gilmer, Luke Metz, Fartash Faghri, S. Schoenholz +3 more
2018International Conference on Learning Representations360 citations
Semantic Scholar
Adversarial Manipulation of Deep Representations
S. Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet
2015International Conference on Learning Representations300 citations
Semantic Scholar
VSE++: Improved Visual-Semantic Embeddings
Fartash Faghri, David J. Fleet, J. Kiros, S. Fidler
2017arXiv.org191 citations
Semantic Scholar
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Hao-Xiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli +5 more
20232024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)188 citations Open access
Semantic Scholar
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli +1 more
2023Computer Vision and Pattern Recognition157 citations Open access
Semantic Scholar
Adaptive Gradient Quantization for Data-Parallel SGD
Fartash Faghri, Iman Tabrizian, I. Markov, Dan Alistarh +2 more
2020Neural Information Processing Systems108 citations
Semantic Scholar
FastVLM: Efficient Vision Encoding for Vision Language Models
Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc +7 more
2024Computer Vision and Pattern Recognition105 citations Open access
Semantic Scholar
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli +4 more
2023International Conference on Learning Representations56 citations
Semantic Scholar
Weight subcloning: direct initialization of transformers using larger pretrained ones
Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli +4 more
2023arXiv.org40 citations
Semantic Scholar
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
Ali Ramezani-Kebrya, Fartash Faghri, Ilya Markov, V. Aksenov +2 more
2019Journal of machine learning research40 citations
Semantic Scholar
A Study of Gradient Variance in Deep Learning
Fartash Faghri, D. Duvenaud, David J. Fleet, Jimmy Ba
2020arXiv.org39 citations
Semantic Scholar
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri +4 more
2024ENLSP30 citations
Semantic Scholar
Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why
Mohammadreza Armandpour, Fatih Ilhan, David Harrison, Ajay Jaiswal +5 more
2026arXiv.org27 citations
Semantic Scholar
MobileCLIP2: Improving Multi-Modal Reinforced Training
Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, V. Shankar +3 more
2025Trans. Mach. Learn. Res.27 citations
Semantic Scholar
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
J. Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu +3 more
2024Conference on Empirical Methods in Natural Language Processing22 citations
Semantic Scholar
NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization
Ali Ramezani-Kebrya, Fartash Faghri, Daniel M. Roy
2019arXiv.org22 citations
Semantic Scholar
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta +7 more
2025Annual Meeting of the Association for Computational Linguistics21 citations
Semantic Scholar
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta +3 more
2023International Conference on Machine Learning18 citations
Semantic Scholar
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
Fartash Faghri, H. Pouransari, Sachin Mehta, Mehrdad Farajtabar +3 more
2023IEEE International Conference on Computer Vision16 citations Open access
Semantic Scholar
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, O. Tuzel +1 more
2022arXiv.org13 citations Open access
Semantic Scholar
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Sachin Mehta, Maxwell Horton, Fartash Faghri, M. Sekhavat +4 more
2024arXiv.org11 citations
Semantic Scholar
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, O. Tuzel
2024arXiv.org10 citations
Semantic Scholar
FastFill: Efficient Compatible Model Update
Florian Jaeckle, Fartash Faghri, Ali Farhadi, O. Tuzel +1 more
2023International Conference on Learning Representations10 citations Open access
Semantic Scholar
RangeAugment: Efficient Online Augmentation with Range Learning
Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton +4 more
2022arXiv.org8 citations Open access
Semantic Scholar
Bridging the Gap Between Adversarial Robustness and Optimization Bias
Fartash Faghri, Sven Gowal, C. Vasconcelos, David J. Fleet +2 more
2021arXiv.org8 citations
Semantic Scholar
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks
Ali Ramezani-Kebrya, Iman Tabrizian, Fartash Faghri, P. Popovski
2022Trans. Mach. Learn. Res.7 citations Open access
Semantic Scholar
Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity
A. Joudaki, Giulia Lanzillotta, Mohammad Samragh Razlighi, Iman Mirzadeh +4 more
2025arXiv.org6 citations
Semantic Scholar
Adversarial Spheres
J. Gilmer, Luke Metz, Fartash Faghri, S. Schoenholz +3 more
20186 citations
Semantic Scholar
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
Jeffrey Li, Josh Gardner, Doug Kang, Fang Shi +9 more
2026Conference of the European Chapter of the Association for Computational Linguistics5 citations Open access
Semantic Scholar
AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding
Sanjoy Chowdhury, K. D. Yang, Xudong Liu, Fartash Faghri +5 more
2025arXiv.org5 citations
Semantic Scholar
Adversarial Robustness through Regularization: A Second-Order Approach
A. Ma, Fartash Faghri, Amir-massoud Farahmand
2020arXiv.org5 citations
Semantic Scholar
TiC-LM: A Multi-Year Benchmark for Continual Pretraining of Language Models
Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta +7 more
5 citations
Semantic Scholar
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations
Cheng-Yu Hsieh, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli +4 more
2025arXiv.org4 citations
Semantic Scholar
Computational Bottlenecks of Training Small-scale Large Language Models
Saleh Ashkboos, Iman Mirzadeh, Keivan Alizadeh-Vahid, M. Sekhavat +3 more
2024ENLSP4 citations
Semantic Scholar
Data-Centric Lessons To Improve Speech-Language Pretraining
Vishaal Udandarao, Zhi-Yun Lu, Xuan-Kai Chang, Yongqiang Wang +5 more
2025arXiv.org3 citations
Semantic Scholar
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri +6 more
2023Trans. Mach. Learn. Res.3 citations
Semantic Scholar
Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
Ali Ramezani-Kebrya, Fartash Faghri, Ilya Markov, V. Aksenov +2 more
20193 citations
Semantic Scholar
Graph based semi-supervised human pose estimation: When the output space comes to help
Nima Pourdamghani, H. Rabiee, Fartash Faghri, M. H. Rohban
2012Pattern Recognition Letters3 citations
Semantic Scholar
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting
Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar +5 more
2025International Conference on Machine Learning2 citations
Semantic Scholar
Training Efficiency and Robustness in Deep Learning
Fartash Faghri
2021arXiv.org2 citations
Semantic Scholar
VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models
Pavan Kumar Anasosalu Vasu, Cem Koc, Fartash Faghri, Chun-Liang Li +5 more
20262026 IEEE/CVF Conference on Computer Vision and Pattern Recognition- FINDINGS Track (CVPRF)1 citations
Semantic Scholar
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed
Qingrui Zhang, Yuhuai Wu, Fartash Faghri, Tianzong Zhang +1 more
20190 citations
Semantic Scholar
Reverse Language Model
Xun-Jian Yin, Si-Tao Cheng, Yuxi Xie, Xinyue Hu +122 more
0 citations
Semantic Scholar

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