Fartash Faghri

14 papers · 2020–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 👥 Mega-Team · Legion 🤝 Dynamic Duo (11) 👑 Triple Crown ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (72)

Venues

CVPR (3) ICLR (2) ICML (2) NeurIPS (2) ACL (1) EACL (1) EMNLP (1) ICCV (1) JMLR (1)

Top co-authors

Oncel Tuzel (11) Hadi Pouransari (11) Raviteja Vemulapalli (7) Mehrdad Farajtabar (5) Chun-Liang Li (4) Sachin Mehta (4) Vaishaal Shankar (3) Jeffrey Li (3) Pavan Kumar Anasosalu Vasu (3) Mohammad Rastegari (2)

Research topics

Machine Learning (13) Application Areas (10) Artificial Intelligence (8) Deep Learning (8) Core AI (6) Natural Language Processing (4) Learning Types · Deep Learning (4) Resources & Methods (4) Computer Vision (3) Core Methods (3) Learning Paradigms (3) Optimization & Theory · Deep Learning (3) Learning Types · Machine Learning (2) Optimization & Theory · Machine Learning (2) Techniques (2)

Keywords

vision foundation model (2) communication efficiency (2) gradient quantization (2) data-parallel training (2) continual learning (2) efficient computing (2) vision-language model (2) model update (2) large language model (2) knowledge distillation (2) stochastic gradient descent (2) distributed learning (1) vision transformer (1) model adaptation (1) multimodal learning (1) data augmentation (1) contrastive learning (1) foundation model (1) knowledge transfer (1) catastrophic forgetting (1)

Papers

AMusE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding CVPR 2026 Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training EACL 2026 FastVLM: Efficient Vision Encoding for Vision Language Models CVPR 2025 Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting ICML 2025 TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining ACL 2025 DataComp-LM: In search of the next generation of training sets for language models NeurIPS 2024 Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models ICML 2024 MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training CVPR 2024 MUSCLE: A Model Update Strategy for Compatible LLM Evolution EMNLP 2024 TiC-CLIP: Continual Training of CLIP Models ICLR 2024 FastFill: Efficient Compatible Model Update ICLR 2023 Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement ICCV 2023 NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization JMLR 2021 Adaptive Gradient Quantization for Data-Parallel SGD NeurIPS 2020