Ali Farhadi

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 223

Top Venues

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)
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)
Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Task Me Anything. CoRR (2024)
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Selective Visual Representations Improve Convergence and Generalization for Embodied AI. ICLR (2024)
Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. CoRR (2024)
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi
Objaverse: A Universe of Annotated 3D Objects. CVPR (2023)
Matt Deitke, Rose Hendrix, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi
Phone2Proc: Bringing Robust Robots into Our Chaotic World. CVPR (2023)
Mario Srouji, Hugues Thomas, Yao-Hung Hubert Tsai, Ali Farhadi, Jian Zhang
SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning. CASE (2023)
Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR (2023)
Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. ICLR (2023)
Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks. CoRR (2023)
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
FastFill: Efficient Compatible Model Update. CoRR (2023)
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
Objaverse-XL: A Universe of 10M+ 3D Objects. NeurIPS (2023)
Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari
Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR (2023)
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
Neural Priming for Sample-Efficient Adaptation. NeurIPS (2023)
Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness. NeurIPS (2023)
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
FLUID: A Unified Evaluation Framework for Flexible Sequential Data. Trans. Mach. Learn. Res. 2023 (2023)
Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos
lo-fi: distributed fine-tuning without communication. Trans. Mach. Learn. Res. 2023 (2023)
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. CoRR (2023)
Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
Editing models with task arithmetic. ICLR (2023)
Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt
Stable and low-precision training for large-scale vision-language models. CoRR (2023)
Sarah M. Pratt, Ian Covert, Rosanne Liu, Ali Farhadi
What does a platypus look like? Generating customized prompts for zero-shot image classification. ICCV (2023)
Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi
AdANNS: A Framework for Adaptive Semantic Search. NeurIPS (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)
Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt
Stable and low-precision training for large-scale vision-language models. NeurIPS (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)
Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. CoRR (2023)
Ethan Shen, Ali Farhadi, Aditya Kusupati
Are "Hierarchical" Visual Representations Hierarchical? CoRR (2023)
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
Objaverse-XL: A Universe of 10M+ 3D Objects. CoRR (2023)
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
Neural Priming for Sample-Efficient Adaptation. CoRR (2023)
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
Neural Radiance Field Codebooks. CoRR (2023)
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
DataComp: In search of the next generation of multimodal datasets. NeurIPS (2023)
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS (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)
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Selective Visual Representations Improve Convergence and Generalization for Embodied AI. CoRR (2023)
Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi
AdANNS: A Framework for Adaptive Semantic Search. CoRR (2023)
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
FastFill: Efficient Compatible Model Update. ICLR (2023)
Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ludwig Schmidt, Ali Farhadi
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness. CoRR (2023)
Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi
Impossibly Good Experts and How to Follow Them. ICLR (2023)
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
Neural Radiance Field Codebooks. ICLR (2023)
So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang
Self-Supervised Object Goal Navigation with In-Situ Finetuning. IROS (2023)
Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
MatFormer: Nested Transformer for Elastic Inference. CoRR (2023)
Sarah M. Pratt, Luca Weihs, Ali Farhadi
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents. CoRR (2022)
Yao-Hung Hubert Tsai, Hanlin Goh, Ali Farhadi, Jian Zhang
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents. CoRR (2022)
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation. CoRR (2022)
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt
Robust fine-tuning of zero-shot models. CVPR (2022)
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
Forward Compatible Training for Large-Scale Embedding Retrieval Systems. CVPR (2022)
Mitchell Wortsman, Gabriel Ilharco, Samir Ya Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. ICML (2022)
Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
Editing Models with Task Arithmetic. CoRR (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)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR (2022)
Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
Retrospectives on the Embodied AI Workshop. CoRR (2022)
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
Matryoshka Representations for Adaptive Deployment. CoRR (2022)
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi
Objaverse: A Universe of Annotated 3D Objects. CoRR (2022)
Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari
Layer-Wise Data-Free CNN Compression. ICPR (2022)
Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
Object Manipulation via Visual Target Localization. CoRR (2022)
Matt Deitke, Rose Hendrix, Luca Weihs, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi
Phone2Proc: Bringing Robust Robots Into Our Chaotic World. CoRR (2022)
Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
Object Manipulation via Visual Target Localization. ECCV (39) (2022)
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
Matryoshka Representation Learning. NeurIPS (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR (2022)
Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt
Patching open-vocabulary models by interpolating weights. NeurIPS (2022)
Mario Srouji, Wei Ding, Hubert Tsai, Ali Farhadi, Jian Zhang
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance. CoRR (2022)
Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt
Patching open-vocabulary models by interpolating weights. CoRR (2022)
Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox
Break and Make: Interactive Structural Understanding Using LEGO Bricks. ECCV (28) (2022)
Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox
Break and Make: Interactive Structural Understanding Using LEGO Bricks. CoRR (2022)
Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach
Exposing the Limits of Video-Text Models through Contrast Sets. NAACL-HLT (2022)
Sarah M. Pratt, Rosanne Liu, Ali Farhadi
What does a platypus look like? Generating customized prompts for zero-shot image classification. CoRR (2022)
Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. CoRR (2022)
Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos
lo-fi: distributed fine-tuning without communication. CoRR (2022)
So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang
Object Goal Navigation with End-to-End Self-Supervision. CoRR (2022)
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
Learning Neural Network Subspaces. CoRR (2021)
Mostafa Gandomi, Ali R. Kashani, Ali Farhadi, Mohsen Akhani, Amir H. Gandomi
Spectral acceleration prediction using genetic programming based approaches. Appl. Soft Comput. 106 (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)
Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
Probing Contextual Language Models for Common Ground with Visual Representations. NAACL-HLT (2021)
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT (2021)
Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M. Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
Learning Generalizable Visual Representations via Interactive Gameplay. ICLR (2021)
Mitchell Wortsman, Gabriel Ilharco, Mike Li, Jong Wook Kim, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt
Robust fine-tuning of zero-shot models. CoRR (2021)
Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time. CoRR (2021)
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. CoRR (2021)
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. NeurIPS (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)
Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox
LanguageRefer: Spatial-Language Model for 3D Visual Grounding. CoRL (2021)
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
Forward Compatible Training for Representation Learning. CoRR (2021)
Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi
Pushing it out of the Way: Interactive Visual Navigation. CoRR (2021)
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. CoRR (2021)
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
MERLOT: Multimodal Neural Script Knowledge Models. CoRR (2021)
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
MERLOT: Multimodal Neural Script Knowledge Models. NeurIPS (2021)
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
Learning Neural Network Subspaces. ICML (2021)
Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox
LanguageRefer: Spatial-Language Model for 3D Visual Grounding. CoRR (2021)
Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi
Pushing It Out of the Way: Interactive Visual Navigation. CVPR (2021)
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. ACL/IJCNLP (1) (2021)
Kiana Ehsani, Daniel Gordon, Thomas Hai Dang Nguyen, Roozbeh Mottaghi, Ali Farhadi
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions. ICLR (2021)
Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi
Visual Reaction: Learning to Play Catch With Your Drone. CVPR (2020)
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks. CoRR (2020)
Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari
What's Hidden in a Randomly Weighted Neural Network? CVPR (2020)
Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
Probing Text Models for Common Ground with Visual Representations. CoRR (2020)
Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. CVPR (2020)
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. CVPR (2020)
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
Enabling AI at the edge with XNOR-networks. Commun. ACM 63 (12) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ali Farhadi