Fatahalian, Kayvon

16 publications

NeurIPS 2025 Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian

WACV 2024 Collage Diffusion Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian

AAAI 2024 Learning Subject-Aware Cropping by Outpainting Professional Photos James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian

NeurIPSW 2023 Learning to Place Objects into Scenes by Hallucinating Scenes Around Objects Lu Yuan, James Hong, Vishnu Sarukkai, Kayvon Fatahalian

ICML 2022 Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning Mayee Chen, Daniel Y Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Re

UAI 2022 Shoring up the Foundations: Fusing Model Embeddings and Weak Supervision Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré

ECCV 2022 Spotting Temporally Precise, Fine-Grained Events in Video James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian

CVPR 2021 Background Splitting: Finding Rare Classes in a Sea of Background Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian

ICLR 2021 Large Batch Simulation for Deep Reinforcement Learning Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian

ICCV 2021 Learning Rare Category Classifiers on a Tight Labeling Budget Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian

ICCV 2021 Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

ICML 2021 Mandoline: Model Evaluation Under Distribution Shift Mayee Chen, Karan Goel, Nimit S Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Re

ICCV 2021 Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian

ICML 2020 Fast and Three-Rious: Speeding up Weak Supervision with Triplet Methods Daniel Fu, Mayee Chen, Frederic Sala, Sarah Hooper, Kayvon Fatahalian, Christopher Re

NeurIPS 2019 Multi-Resolution Weak Supervision for Sequential Data Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Fries, Daniel Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré

WACV 2016 KrishnaCam: Using a Longitudinal, Single-Person, Egocentric Dataset for Scene Understanding Tasks Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros