Trevor Walker - RankMe

19 papers A* 3A 1B 5Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EmbeddingGemma: Powerful and Lightweight Text Representations. CoRR Henrique Schechter Vera, Sahil Dua, Biao Zhang, Daniel Salz, Ryan Mullins, Sindhu Raghuram Panyam, Sara Smoot, Iftekhar Naim, Joe Zou, Feiyang Chen, Daniel Cer, Alice Lisak, Min Choi, Lucas Gonzalez, Omar Sanseviero, Glenn Cameron, Ian Ballantyne, Kat Black, Kaifeng Chen, Weiyi Wang, Zhe Li, Gus Martins, Jinhyuk Lee, Mark Sherwood, Ju-yeong Ji, Renjie Wu, Jingxiao Zheng, Jyotinder Singh, Abheesht Sharma, Divyashree Sreepathihalli, Aashi Jain, Adham Elarabawy, AJ Co, Andreas Doumanoglou, Babak Samari, Ben Hora, Brian Potetz, Dahun Kim, Enrique Alfonseca, Fedor Moiseev, Feng Han, Frank Palma Gomez, Gustavo Hernández Ábrego, Hesen Zhang, Hui Hui, Jay Han, Karan Gill, Ke Chen, Koert Chen, Madhuri Shanbhogue, Michael Boratko, Paul Suganthan, Sai Meher Karthik Duddu, Sandeep Mariserla, Setareh Ariafar, Shanfeng Zhang, Shijie Zhang, Simon Baumgartner, Sonam Goenka, Steve Qiu, Tanmaya Dabral, Trevor Walker, Vikram Rao, Waleed Khawaja, Wenlei Zhou, Xiaoqi Ren, Ye Xia, Yichang Chen, Yi-Ting Chen, Zhe Dong, Zhongli Ding, Francesco Visin, Gaël Liu, Jiageng Zhang, Kathleen Kenealy, Michelle Casbon, Ravin Kumar, Thomas Mesnard, Zach Gleicher, Cormac Brick, Olivier Lacombe, Adam Roberts, Qin Yin, Yun-Hsuan Sung, Raphael Hoffmann, Tris Warkentin, Armand Joulin, Tom Duerig, Mojtaba Seyedhosseini
2025	J	`jnl`	Gemini Embedding: Generalizable Embeddings from Gemini. CoRR Jinhyuk Lee, Feiyang Chen, Sahil Dua, Daniel Cer, Madhuri Shanbhogue, Iftekhar Naim, Gustavo Hernández Ábrego, Zhe Li, Kaifeng Chen, Henrique Schechter Vera, Xiaoqi Ren, Shanfeng Zhang, Daniel Salz, Michael Boratko, Jay Han, Blair Chen, Shuo Huang, Vikram Rao, Paul Suganthan, Feng Han, Andreas Doumanoglou, Nithi Gupta, Fedor Moiseev, Cathy Yip, Aashi Jain, Simon Baumgartner, Shahrokh Shahi, Frank Palma Gomez, Sandeep Mariserla, Min Choi, Parashar Shah, Sonam Goenka, Ke Chen, Ye Xia, Koert Chen, Sai Meher Karthik Duddu, Yichang Chen, Trevor Walker, Wenlei Zhou, Rakesh Ghiya, Zach Gleicher, Karan Gill, Zhe Dong, Mojtaba Seyedhosseini, Yun-Hsuan Sung, Raphael Hoffmann, Tom Duerig
2024	J	`jnl`	Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang
2024	J	`jnl`	Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. Trans. Mach. Learn. Res. Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Yeqing Li, Shixin Luo, Yasumasa Onoe, Zarana Parekh, Ivana Kajic, Mandy Guo, Wenlei Zhou, Sarah Rosston, Roopal Garg, Hongliang Fei, Jordi Pont-Tuset, Su Wang, Henna Nandwani, Andrew Bunner, Kevin Swersky, David J. Fleet, Oliver Wang, Jason M. Baldridge
2014	—	`conf`	Content-Based Cross-Domain Recommendations Using Segmented Models. CBRecSys@RecSys Shaghayegh Sahebi, Trevor Walker
2014	A	`conf`	Improving the discriminative power of inferred content information using segmented virtual profile. RecSys Haishan Liu, Anuj Goyal, Trevor Walker, Anmol Bhasin
2011	B	`conf`	Integrating knowledge capture and supervised learning through a human-computer interface. K-CAP Trevor Walker, Gautam Kunapuli, Noah Larsen, David Page, Jude W. Shavlik
2010	B	`conf`	Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge. ILP Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik
2010	—	`ch.`	Transfer Learning via Advice Taking. Advances in Machine Learning I Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2008	—	`conf`	Advice Taking and Transfer Learning: Naturally Inspired Extensions to Reinforcement Learning. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence Lisa Torrey, Trevor Walker, Richard Maclin, Jude W. Shavlik
2008	—	`ch.`	Rule Extraction for Transfer Learning. Rule Extraction from Support Vector Machines Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2007	B	`conf`	Building Relational World Models for Reinforcement Learning. ILP Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richard Maclin
2007	A*	`conf`	Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming. AAAI Richard Maclin, Edward W. Wild, Jude W. Shavlik, Lisa Torrey, Trevor Walker
2007	B	`conf`	Relational Macros for Transfer in Reinforcement Learning. ILP Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2006	A*	`conf`	A Simple and Effective Method for Incorporating Advice into Kernel Methods. AAAI Richard Maclin, Jude W. Shavlik, Trevor Walker, Lisa Torrey
2006	—	`conf`	Skill Acquisition Via Transfer Learning and Advice Taking. ECML Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2005	A*	`conf`	Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression. AAAI Richard Maclin, Jude W. Shavlik, Lisa Torrey, Trevor Walker, Edward W. Wild
2005	B	`conf`	Knowledge transfer via advice taking. K-CAP Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin
2005	—	`conf`	Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another. ECML Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin