Alert button
Picture for Hongyu Ren

Hongyu Ren

Alert button

TripleE: Easy Domain Generalization via Episodic Replay

Oct 04, 2022
Xiaomeng Li, Hongyu Ren, Huifeng Yao, Ziwei Liu

Figure 1 for TripleE: Easy Domain Generalization via Episodic Replay
Figure 2 for TripleE: Easy Domain Generalization via Episodic Replay
Figure 3 for TripleE: Easy Domain Generalization via Episodic Replay
Figure 4 for TripleE: Easy Domain Generalization via Episodic Replay
Viaarxiv icon

VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering

May 23, 2022
Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec

Figure 1 for VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering
Figure 2 for VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering
Figure 3 for VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering
Figure 4 for VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering
Viaarxiv icon

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

Jan 21, 2022
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec

Figure 1 for GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Figure 2 for GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Figure 3 for GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Figure 4 for GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Viaarxiv icon

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

Nov 01, 2021
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans

Figure 1 for SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Figure 2 for SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Figure 3 for SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Figure 4 for SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Viaarxiv icon

Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones

Oct 30, 2021
Yushi Bai, Rex Ying, Hongyu Ren, Jure Leskovec

Figure 1 for Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Figure 2 for Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Figure 3 for Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Figure 4 for Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Viaarxiv icon

On the Opportunities and Risks of Foundation Models

Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

Figure 1 for On the Opportunities and Risks of Foundation Models
Figure 2 for On the Opportunities and Risks of Foundation Models
Figure 3 for On the Opportunities and Risks of Foundation Models
Figure 4 for On the Opportunities and Risks of Foundation Models
Viaarxiv icon

Combiner: Full Attention Transformer with Sparse Computation Cost

Jul 12, 2021
Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai

Figure 1 for Combiner: Full Attention Transformer with Sparse Computation Cost
Figure 2 for Combiner: Full Attention Transformer with Sparse Computation Cost
Figure 3 for Combiner: Full Attention Transformer with Sparse Computation Cost
Figure 4 for Combiner: Full Attention Transformer with Sparse Computation Cost
Viaarxiv icon

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

Apr 13, 2021
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec

Figure 1 for QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Figure 2 for QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Figure 3 for QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Figure 4 for QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Viaarxiv icon

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Mar 17, 2021
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec

Figure 1 for OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Figure 2 for OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Figure 3 for OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Figure 4 for OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Viaarxiv icon