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Shelby Heinecke
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2020 – today
- 2024
- [c12]Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang:
Causal Layering via Conditional Entropy. CLeaR 2024: 1176-1191 - [c11]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) 2024: 2299-2315 - [c10]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR 2024 - [c9]Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang:
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. SDM 2024: 743-751 - [i24]Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese:
Editing Arbitrary Propositions in LLMs without Subject Labels. CoRR abs/2401.07526 (2024) - [i23]Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese:
Causal Layering via Conditional Entropy. CoRR abs/2401.10495 (2024) - [i22]Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong:
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR abs/2402.15506 (2024) - [i21]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese:
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR abs/2402.15538 (2024) - [i20]Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese:
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR abs/2406.10290 (2024) - [i19]Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong:
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR abs/2406.18518 (2024) - [i18]Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu:
Personalized Multi-task Training for Recommender System. CoRR abs/2407.21364 (2024) - 2023
- [j1]Shuyuan Xu
, Juntao Tan
, Shelby Heinecke
, Vena Jia Li
, Yongfeng Zhang
:
Deconfounded Causal Collaborative Filtering. Trans. Recomm. Syst. 1(4): 1-25 (2023) - [c8]Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. AAAI 2023: 7314-7322 - [c7]Ziwei Fan
, Zhiwei Liu
, Shelby Heinecke
, Jianguo Zhang
, Huan Wang
, Caiming Xiong
, Philip S. Yu
:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM 2023: 483-493 - [c6]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL 2023: 509-518 - [i17]Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke
, Eric Hu, Huan Wang, Stephen C. H. Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles:
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. CoRR abs/2301.10859 (2023) - [i16]Itai Feigenbaum, Huan Wang, Shelby Heinecke
, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Devansh Arpit:
On the Unlikelihood of D-Separation. CoRR abs/2303.05628 (2023) - [i15]Juntao Tan, Shelby Heinecke
, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang:
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. CoRR abs/2304.05492 (2023) - [i14]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR abs/2305.07633 (2023) - [i13]Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
REX: Rapid Exploration and eXploitation for AI Agents. CoRR abs/2307.08962 (2023) - [i12]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR abs/2307.10172 (2023) - [i11]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR abs/2308.02151 (2023) - [i10]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR abs/2308.05960 (2023) - [i9]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR abs/2308.08169 (2023) - [i8]Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu:
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. CoRR abs/2312.11336 (2023) - 2022
- [c5]Shuyuan Xu
, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke
, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. CIKM 2022: 2301-2310 - [c4]Zohreh Ovaisi, Shelby Heinecke
, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. WSDM 2022: 1597-1600 - [i7]Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. CoRR abs/2201.04399 (2022) - [i6]Shuyuan Xu
, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. CoRR abs/2208.11094 (2022) - [i5]Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke
, Lichao Sun
, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. CoRR abs/2212.02758 (2022) - 2021
- [c3]Avrim Blum, Shelby Heinecke
, Lev Reyzin:
Communication-Aware Collaborative Learning. AAAI 2021: 6786-6793 - [i4]Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang:
Deconfounded Causal Collaborative Filtering. CoRR abs/2110.07122 (2021) - [i3]Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong:
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution. CoRR abs/2111.10497 (2021) - 2020
- [i2]Avrim Blum, Shelby Heinecke, Lev Reyzin:
Communication-Aware Collaborative Learning. CoRR abs/2012.10569 (2020)
2010 – 2019
- 2019
- [c2]Shelby Heinecke
, Lev Reyzin:
Crowdsourced PAC Learning under Classification Noise. HCOMP 2019: 41-49 - [i1]Shelby Heinecke, Lev Reyzin:
Crowdsourced PAC Learning under Classification Noise. CoRR abs/1902.04629 (2019) - 2018
- [c1]Shelby Heinecke
, Will Perkins
, Lev Reyzin:
On the Resilience of Bipartite Networks. Allerton 2018: 72-77
Coauthor Index
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last updated on 2024-08-25 19:13 CEST by the dblp team
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