Sam Toyer - RankMe

25 papers A* 4B 1Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs. CoRR Chuan Guo, Juan Felipe Ceron Uribe, Sicheng Zhu, Christopher A. Choquette-Choo, Stephanie Lin, Nikhil Kandpal, Milad Nasr, Rai, Sam Toyer, Miles Wang, Yaodong Yu, Alex Beutel, Kai Xiao
2025	J	`jnl`	Trading Inference-Time Compute for Adversarial Robustness. CoRR Wojciech Zaremba, Evgenia Nitishinskaya, Boaz Barak, Stephanie Lin, Sam Toyer, Yaodong Yu, Rachel Dias, Eric Wallace, Kai Xiao, Johannes Heidecke, Amelia Glaese
2024	A*	`conf`	A StrongREJECT for Empty Jailbreaks. NeurIPS Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer
2024	J	`jnl`	A StrongREJECT for Empty Jailbreaks. CoRR Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer
2024	J	`jnl`	Deliberative Alignment: Reasoning Enables Safer Language Models. CoRR Melody Y. Guan, Manas Joglekar, Eric Wallace, Saachi Jain, Boaz Barak, Alec Helyar, Rachel Dias, Andrea Vallone, Hongyu Ren, Jason Wei, Hyung Won Chung, Sam Toyer, Johannes Heidecke, Alex Beutel, Amelia Glaese
2024	J	`jnl`	Exploring and Addressing Reward Confusion in Offline Preference Learning. CoRR Xin Chen, Sam Toyer, Florian Shkurti
2024	J	`jnl`	Human Action Anticipation: A Survey. CoRR Bolin Lai, Sam Toyer, Tushar Nagarajan, Rohit Girdhar, Shengxin Zha, James M. Rehg, Kris Kitani, Kristen Grauman, Ruta Desai, Miao Liu
2024	A*	`conf`	Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. ICLR Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell
2023	J	`jnl`	Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. CoRR Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell
2022	J	`jnl`	A Primer on Maximum Causal Entropy Inverse Reinforcement Learning. CoRR Adam Gleave, Sam Toyer
2022	J	`jnl`	An Empirical Investigation of Representation Learning for Imitation. CoRR Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
2022	J	`jnl`	imitation: Clean Imitation Learning Implementations. CoRR Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, Stuart Russell
2021	—	`conf`	An Empirical Investigation of Representation Learning for Imitation. NeurIPS Datasets and Benchmarks Cynthia Chen, Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
2020	J	`jnl`	ASNets: Deep Learning for Generalised Planning. J. Artif. Intell. Res. Sam Toyer, Sylvie Thiébaux, Felipe W. Trevizan, Lexing Xie
2020	J	`jnl`	DERAIL: Diagnostic Environments for Reward And Imitation Learning. CoRR Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell
2020	A*	`conf`	The MAGICAL Benchmark for Robust Imitation. NeurIPS Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
2020	J	`jnl`	The MAGICAL Benchmark for Robust Imitation. CoRR Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
2019	J	`jnl`	ASNets: Deep Learning for Generalised Planning. CoRR Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie
2019	B	`conf`	Guiding Search with Generalized Policies for Probabilistic Planning. SOCS William Shen, Felipe W. Trevizan, Sam Toyer, Sylvie Thiébaux, Lexing Xie
2019	—	`conf`	Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. ICLR (Poster) Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine
2018	A*	`conf`	Action Schema Networks: Generalised Policies With Deep Learning. AAAI Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie
2018	J	`jnl`	Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. CoRR Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine
2017	J	`jnl`	Action Schema Networks: Generalised Policies with Deep Learning. CoRR Sam Toyer, Felipe W. Trevizan, Sylvie Thiébaux, Lexing Xie
2017	Misc	`conf`	Human Pose Forecasting via Deep Markov Models. DICTA Sam Toyer, Anoop Cherian, Tengda Han, Stephen Gould
2017	J	`jnl`	Human Pose Forecasting via Deep Markov Models. CoRR Sam Toyer, Anoop Cherian, Tengda Han, Stephen Gould