Fartash Faghri
13 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🏃 Academic Marathon (5) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(5)
🏆
Keyword Champion
(2)
👑
Triple Crown
👥
Mega-Team
(60)
🧬
Topic Evolution
🤝
Dynamic Duo
(10)
💎
Century Club
(12)
⚡
Prolific Year
(5)
Conferences
CVPR (2)
ICLR (2)
ICML (2)
NIPS (2)
ACL (1)
EACL (1)
EMNLP (1)
ICCV (1)
JMLR (1)
Top co-authors
Keywords
efficient computing
(2)
stochastic gradient descent
(2)
knowledge distillation
(2)
communication efficiency
(2)
gradient quantization
(2)
data-parallel training
(2)
large language model
(2)
adversarial robustness
(1)
vision transformer
(1)
continual learning
(1)
multi-modal learning
(1)
distributed learning
(1)
distributed training
(1)
model update
(1)
data augmentation
(1)
continual pretraining
(1)
foundation model
(1)
vision language model
(1)
language model
(1)
transfer learning
(1)
Papers
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training
EACL 2026
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
ACL 2025
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting
ICML 2025
FastVLM: Efficient Vision Encoding for Vision Language Models
CVPR 2025
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
ICML 2024
TiC-CLIP: Continual Training of CLIP Models
ICLR 2024
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
CVPR 2024
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
EMNLP 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
ICCV 2023
FastFill: Efficient Compatible Model Update
ICLR 2023
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
JMLR 2021
Adaptive Gradient Quantization for Data-Parallel SGD
NIPS 2020