Gabriel Huang - RankMe

18 papers A* 2A 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. CoRR Léo Boisvert, Mihir Bansal, Chandra Kiran Reddy Evuru, Gabriel Huang, Abhay Puri, Avinandan Bose, Maryam Fazel, Quentin Cappart, Jason Stanley, Alexandre Lacoste, Alexandre Drouin, Krishnamurthy Dvijotham
2025	J	`jnl`	Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks? CoRR Rishika Bhagwatkar, Kevin Kasa, Abhay Puri, Gabriel Huang, Irina Rish, Graham W. Taylor, Krishnamurthy Dj Dvijotham, Alexandre Lacoste
2024	J	`jnl`	TapeAgents: a Holistic Framework for Agent Development and Optimization. CoRR Dzmitry Bahdanau, Nicolas Gontier, Gabriel Huang, Ehsan Kamalloo, Rafael Pardinas, Alexandre Piché, Torsten Scholak, Oleh Shliazhko, Jordan Prince Tremblay, Karam Ghanem, Soham Parikh, Mitul Tiwari, Quaizar Vohra
2023	J	`jnl`	A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
2023	A*	`conf`	GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava J. Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
2023	J	`jnl`	GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava J. Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
2021	J	`jnl`	A Survey of Self-Supervised and Few-Shot Object Detection. CoRR Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
2021	A*	`conf`	Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning. ICLR Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien
2021	J	`jnl`	Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning. CoRR Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien
2020	—	`conf`	Multimodal Pretraining for Dense Video Captioning. AACL/IJCNLP Gabriel Huang, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut
2020	J	`jnl`	Multimodal Pretraining for Dense Video Captioning. CoRR Gabriel Huang, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut
2019	J	`jnl`	Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification. CoRR Gabriel Huang, Hugo Larochelle, Simon Lacoste-Julien
2019	A	`conf`	Negative Momentum for Improved Game Dynamics. AISTATS Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rémi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas
2019	J	`jnl`	Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
2018	J	`jnl`	Negative Momentum for Improved Game Dynamics. CoRR Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Gabriel Huang, Rémi Le Priol, Simon Lacoste-Julien, Ioannis Mitliagkas
2018	—	`conf`	Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. ICLR (Workshop) Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien
2018	J	`jnl`	Scattering Networks for Hybrid Representation Learning. CoRR Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
2017	J	`jnl`	Adversarial Divergences are Good Task Losses for Generative Modeling. CoRR Gabriel Huang, Gauthier Gidel, Hugo Berard, Ahmed Touati, Simon Lacoste-Julien