David Acuna - RankMe

56 papers A* 19A 1Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text. CoRR Ximing Lu, David Acuna, Jaehun Jung, Jian Hu, Di Zhang, Shizhe Diao, Yunheng Zou, Shaokun Zhang, Brandon Cui, Mingjie Liu, Hyunwoo Kim, Prithviraj Ammanabrolu, Jan Kautz, Yi Dong, Yejin Choi
2026	J	`jnl`	Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch. CoRR Hyunwoo Kim, Niloofar Mireshghallah, Michael Duan, Rui Xin, Shuyue Stella Li, Jaehun Jung, David Acuna, Qi Pang, Hanshen Xiao, G. Edward Suh, Sewoong Oh, Yulia Tsvetkov, Pang Wei Koh, Yejin Choi
2025	A*	`conf`	Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves? CVPR Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna
2025	J	`jnl`	Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction. CoRR Yong Lin, Shange Tang, Bohan Lyu, Ziran Yang, Jui-Hui Chung, Haoyu Zhao, Lai Jiang, Yihan Geng, Jiawei Ge, Jingruo Sun, Jiayun Wu, Jiri Gesi, Ximing Lu, David Acuna, Kaiyu Yang, Hongzhou Lin, Yejin Choi, Danqi Chen, Sanjeev Arora, Chi Jin
2025	J	`jnl`	Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale. CoRR David Acuna, Chao-Han Huck Yang, Yuntian Deng, Jaehun Jung, Ximing Lu, Prithviraj Ammanabrolu, Hyunwoo Kim, Yuan-Hong Liao, Yejin Choi
2025	J	`jnl`	LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception. CoRR Yuan-Hong Liao, Sven Elflein, Liu He, Laura Leal-Taixé, Yejin Choi, Sanja Fidler, David Acuna
2025	J	`jnl`	Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning. CoRR Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostafa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi
2025	J	`jnl`	Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning. CoRR Ximing Lu, Seungju Han, David Acuna, Hyunwoo Kim, Jaehun Jung, Shrimai Prabhumoye, Niklas Muennighoff, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi
2025	A*	`conf`	Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions. EMNLP David Acuna, Ximing Lu, Jaehun Jung, Hyunwoo Kim, Amlan Kar, Sanja Fidler, Yejin Choi
2025	J	`jnl`	Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions. CoRR David Acuna, Ximing Lu, Jaehun Jung, Hyunwoo Kim, Amlan Kar, Sanja Fidler, Yejin Choi
2024	J	`jnl`	Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? CoRR Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna
2024	—	`conf`	Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. ECCV (61) Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang
2024	J	`jnl`	Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. CoRR Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang
2024	A*	`conf`	Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. EMNLP Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna
2024	J	`jnl`	Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. CoRR Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna
2024	J	`jnl`	RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting. CoRR Ashkan Mirzaei, Riccardo de Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic
2024	A*	`conf`	Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. ICLR Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler
2023	J	`jnl`	Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas
2023	J	`jnl`	Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas
2023	A*	`conf`	DreamTeacher: Pretraining Image Backbones with Deep Generative Models. ICCV Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler
2023	J	`jnl`	DreamTeacher: Pretraining Image Backbones with Deep Generative Models. CoRR Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler
2023	—	`—`	Visual Learning Using Synthetic Data David Acuna
2022	A	`conf`	Complex Momentum for Optimization in Games. AISTATS Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud
2022	A*	`conf`	Domain Adversarial Training: A Game Perspective. ICLR David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler
2022	J	`jnl`	Domain Adversarial Training: A Game Perspective. CoRR David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler
2022	J	`jnl`	Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. CoRR Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler
2022	A*	`conf`	How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022	J	`jnl`	How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022	—	`conf`	Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. ECCV (2) Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler
2022	J	`jnl`	Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. CoRR Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler
2022	J	`jnl`	Scalable Neural Data Server: A Data Recommender for Transfer Learning. CoRR Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler
2021	J	`jnl`	Complex Momentum for Learning in Games. CoRR Jonathan Lorraine, David Acuna, Paul Vicol, David Duvenaud
2021	A*	`conf`	Scalable Neural Data Server: A Data Recommender for Transfer Learning. NeurIPS Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler
2021	A*	`conf`	Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. NeurIPS David Acuna, Jonah Philion, Sanja Fidler
2021	J	`jnl`	Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. CoRR David Acuna, Jonah Philion, Sanja Fidler
2021	A*	`conf`	f-Domain Adversarial Learning: Theory and Algorithms. ICML David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler
2021	J	`jnl`	f-Domain-Adversarial Learning: Theory and Algorithms. CoRR David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler
2020	A*	`conf`	Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. CVPR Xi Yan, David Acuna, Sanja Fidler
2020	J	`jnl`	Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. CoRR Xi Yan, David Acuna, Sanja Fidler
2020	A*	`conf`	Variational Amodal Object Completion. NeurIPS Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler
2019	A*	`conf`	Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations. CVPR David Acuna, Amlan Kar, Sanja Fidler
2019	J	`jnl`	Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations. CoRR David Acuna, Amlan Kar, Sanja Fidler
2019	A*	`conf`	Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. ICCV Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler
2019	J	`jnl`	Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. CoRR Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler
2019	A*	`conf`	Meta-Sim: Learning to Generate Synthetic Datasets. ICCV Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
2019	J	`jnl`	Meta-Sim: Learning to Generate Synthetic Datasets. CoRR Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
2019	A*	`conf`	Neural Turtle Graphics for Modeling City Road Layouts. ICCV Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
2019	J	`jnl`	Neural Turtle Graphics for Modeling City Road Layouts. CoRR Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
2019	A*	`conf`	Object Instance Annotation With Deep Extreme Level Set Evolution. CVPR Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler
2019	A*	`conf`	Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data. ICRA Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, Stan Birchfield
2018	J	`jnl`	Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design. Appl. Soft Comput. David Acuna, Marcos E. Orchard, Raimundo Saona
2018	A*	`conf`	Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++. CVPR David Acuna, Huan Ling, Amlan Kar, Sanja Fidler
2018	J	`jnl`	Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++. CoRR David Acuna, Huan Ling, Amlan Kar, Sanja Fidler
2018	J	`jnl`	Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data. CoRR Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, Stan Birchfield
2018	—	`conf`	Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization. CVPR Workshops Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
2018	J	`jnl`	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization. CoRR Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield