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ORCIDAli Farhadi
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- affiliation: AI2, Allen Institute for Artificial Intelligence, Seattle, US
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2020 – today
- 2023
[j14]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)- [j13]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) - [c124]Matt Deitke, Rose Hendrix, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi:
Phone2Proc: Bringing Robust Robots into Our Chaotic World. CVPR 2023: 9665-9675 - [c123]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: 13142-13153 - [c122]Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi:
Editing models with task arithmetic. ICLR 2023 - [c121]Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
FastFill: Efficient Compatible Model Update. ICLR 2023 - [c120]Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi:
Neural Radiance Field Codebooks. ICLR 2023 - [c119]Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi:
Impossibly Good Experts and How to Follow Them. ICLR 2023 - [c118]Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi:
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. ICLR 2023 - [i113]Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi:
Neural Radiance Field Codebooks. CoRR abs/2301.04101 (2023) - [i112]Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
FastFill: Efficient Compatible Model Update. CoRR abs/2303.04766 (2023) - [i111]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) - [i110]Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi:
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. CoRR abs/2304.12289 (2023) - [i109]Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt:
Stable and low-precision training for large-scale vision-language models. CoRR abs/2304.13013 (2023) - [i108]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 abs/2304.14108 (2023) - [i107]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 abs/2305.19435 (2023) - [i106]Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR abs/2306.00238 (2023) - [i105]Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi:
Neural Priming for Sample-Efficient Adaptation. CoRR abs/2306.10191 (2023) - [i104]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 abs/2307.05663 (2023) - [i103]Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ludwig Schmidt, Ali Farhadi:
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness. CoRR abs/2307.12532 (2023) - 2022
- [c117]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: 7949-7961 - [c116]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: 16354-16366 - [c115]Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Large-Scale Embedding Retrieval Systems. CVPR 2022: 19364-19373 - [c114]Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox:
Break and Make: Interactive Structural Understanding Using LEGO Bricks. ECCV (28) 2022: 90-107 - [c113]Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi:
Object Manipulation via Visual Target Localization. ECCV (39) 2022: 321-337 - [c112]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. ICML 2022: 23965-23998 - [c111]Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. ICPR 2022: 2019-2026 - [c110]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: 3574-3586 - [c109]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 - [c108]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 - [i102]Sarah M. Pratt, Luca Weihs, Ali Farhadi:
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents. CoRR abs/2201.00411 (2022) - [i101]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 abs/2201.02639 (2022) - [i100]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 abs/2203.05482 (2022) - [i99]Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi:
Object Manipulation via Visual Target Localization. CoRR abs/2203.08141 (2022) - [i98]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 abs/2205.13147 (2022) - [i97]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 abs/2206.06994 (2022) - [i96]Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox:
Break and Make: Interactive Structural Understanding Using LEGO Bricks. CoRR abs/2207.13738 (2022) - [i95]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 abs/2208.05592 (2022) - [i94]Sarah M. Pratt, Rosanne Liu, Ali Farhadi:
What does a platypus look like? Generating customized prompts for zero-shot image classification. CoRR abs/2209.03320 (2022) - [i93]Mario Srouji, Wei Ding, Hubert Tsai, Ali Farhadi, Jian Zhang:
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance. CoRR abs/2209.11789 (2022) - [i92]Yao-Hung Hubert Tsai, Hanlin Goh, Ali Farhadi, Jian Zhang:
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents. CoRR abs/2209.13156 (2022) - [i91]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 abs/2210.06849 (2022) - [i90]Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos:
lo-fi: distributed fine-tuning without communication. CoRR abs/2210.11948 (2022) - [i89]Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi:
Editing Models with Task Arithmetic. CoRR abs/2212.04089 (2022) - [i88]Matt Deitke, Rose Hendrix, Luca Weihs, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi:
Phone2Proc: Bringing Robust Robots Into Our Chaotic World. CoRR abs/2212.04819 (2022) - [i87]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 abs/2212.05923 (2022) - [i86]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 abs/2212.08051 (2022) - [i85]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
- [j12]Mostafa Gandomi, Ali R. Kashani
, Ali Farhadi, Mohsen Akhani, Amir H. Gandomi:
Spectral acceleration prediction using genetic programming based approaches. Appl. Soft Comput. 106: 107326 (2021) - [c107]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: 2040-2050 - [c106]Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox:
LanguageRefer: Spatial-Language Model for 3D Visual Grounding. CoRL 2021: 1046-1056 - [c105]Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi:
Pushing It Out of the Way: Interactive Visual Navigation. CVPR 2021: 9868-9877 - [c104]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 - [c103]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 - [c102]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 - [c101]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. ICML 2021: 11217-11227 - [c100]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT 2021: 4856-4880 - [c99]Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi:
Probing Contextual Language Models for Common Ground with Visual Representations. NAACL-HLT 2021: 5367-5377 - [c98]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: 23634-23651 - [c97]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: 23900-23913 - [i84]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. CoRR abs/2102.10472 (2021) - [i83]Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi:
Pushing it out of the Way: Interactive Visual Navigation. CoRR abs/2104.14040 (2021) - [i82]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 abs/2106.00188 (2021) - [i81]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 abs/2106.01487 (2021) - [i80]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. CoRR abs/2106.02636 (2021) - [i79]Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox:
LanguageRefer: Spatial-Language Model for 3D Visual Grounding. CoRR abs/2107.03438 (2021) - [i78]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 abs/2109.01903 (2021) - [i77]Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari:
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time. CoRR abs/2110.04252 (2021) - [i76]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) - [i75]Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari:
Forward Compatible Training for Representation Learning. CoRR abs/2112.02805 (2021) - 2020
- [j11]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
Enabling AI at the edge with XNOR-networks. Commun. ACM 63(12): 83-90 (2020) - [c96]Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. CVPR 2020: 221-230 - [c95]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: 3161-3171 - [c94]Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi:
Visual Reaction: Learning to Play Catch With Your Drone. CVPR 2020: 11570-11579 - [c93]Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari:
What's Hidden in a Randomly Weighted Neural Network? CVPR 2020: 11890-11899 - [c92]Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CVPR 2020: 12021-12030 - [c91]Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi:
Grounded Situation Recognition. ECCV (4) 2020: 314-332 - [c90]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. ECCV (5) 2020: 471-490 - [c89]Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi:
VisualCOMET: Reasoning About the Dynamic Context of a Still Image. ECCV (5) 2020: 508-524 - [c88]Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi:
Soft Threshold Weight Reparameterization for Learnable Sparsity. ICML 2020: 5544-5555 - [c87]Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi:
Supermasks in Superposition. NeurIPS 2020 - [i74]Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi:
Soft Threshold Weight Reparameterization for Learnable Sparsity. CoRR abs/2002.03231 (2020) - [i73]Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith:
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. CoRR abs/2002.06305 (2020) - [i72]Daniel Gordon, Kiana Ehsani, Dieter Fox, Ali Farhadi:
Watching the World Go By: Representation Learning from Unlabeled Videos. CoRR abs/2003.07990 (2020) - [i71]Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. CoRR abs/2003.12045 (2020) - [i70]Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi:
Grounded Situation Recognition. CoRR abs/2003.12058 (2020) - [i69]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
Evaluating Machines by their Real-World Language Use. CoRR abs/2004.03607 (2020) - [i68]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. CoRR abs/2004.06799 (2020) - [i67]Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi:
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image. CoRR abs/2004.10796 (2020) - [i66]Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi:
Probing Text Models for Common Ground with Visual Representations. CoRR abs/2005.00619 (2020) - [i65]Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi:
Supermasks in Superposition. CoRR abs/2006.14769 (2020) - [i64]Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi:
In the Wild: From ML Models to Pragmatic ML Systems. CoRR abs/2007.02519 (2020) - [i63]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 abs/2007.04979 (2020) - [i62]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. CoRR abs/2010.08539 (2020) - [i61]Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. CoRR abs/2011.09058 (2020)
2010 – 2019
- 2019
- [c86]Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. ACL (1) 2019: 4430-4441 - [c85]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) 2019: 4791-4800 - [c84]Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox:
Conditional Driving from Natural Language Instructions. CoRL 2019: 540-551 - [c83]Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari:
ELASTIC: Improving CNNs With Dynamic Scaling Policies. CVPR 2019: 2258-2267 - [c82]Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CVPR 2019: 3195-3204 - [c81]Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. CVPR 2019: 6689-6699 - [c80]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CVPR 2019: 6720-6731 - [c79]Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. CVPR 2019: 6750-6759 - [c78]Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi:
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph. CVPR 2019: 10424-10433 - [c77]Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi:
Visual Semantic Navigation using Scene Priors. ICLR (Poster) 2019 - [c76]Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari:
Discovering Neural Wirings. NeurIPS 2019: 2680-2690 - [c75]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. NeurIPS 2019: 9051-9062 - [i60]Daniel Gordon, Dieter Fox, Ali Farhadi:
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning. CoRR abs/1901.01492 (2019) - [i59]Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi:
Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph. CoRR abs/1903.10547 (2019) - [i58]Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. CoRR abs/1904.05879 (2019) - [i57]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? CoRR abs/1905.07830 (2019) - [i56]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. CoRR abs/1905.12616 (2019) - [i55]Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. CoRR abs/1906.00067 (2019) - [i54]Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari:
Discovering Neural Wirings. CoRR abs/1906.00586 (2019) - [i53]Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari:
Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CoRR abs/1906.02256 (2019) - [i52]Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. CoRR abs/1906.05807 (2019) - [i51]Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox:
Conditional Driving from Natural Language Instructions. CoRR abs/1910.07615 (2019) - [i50]Vivek Ramanujan, Mitchell Wortsman