Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. - Rui Kuang; Eugene Ie; Ke Wang; Kai Wang; Mahira Siddiqi; Yoav Freund; Christina S. Leslie (CSB, 2004)

Multi-class protein fold recognition using adaptive codes. - Eugene Ie; Jason Weston; William Stafford Noble; Christina S. Leslie (ICML, 2005)

Semi-supervised protein classification using cluster kernels. - Jason Weston; Christina S. Leslie; Eugene Ie; Dengyong Zhou; André Elisseeff; William Stafford Noble (Bioinform., 2005)

Semi-Supervised Protein Classification Using Cluster Kernels. - Jason Weston; Christina S. Leslie; Eugene Ie; William Stafford Noble (Semi-Supervised Learning, 2006)

SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. - Iain Melvin; Eugene Ie; Rui Kuang; Jason Weston; William Stafford Noble; Christina S. Leslie (BMC Bioinform., 2007)

Multi-class Protein Classification Using Adaptive Codes. - Iain Melvin; Eugene Ie; Jason Weston; William Stafford Noble; Christina S. Leslie (J. Mach. Learn. Res., 2007)

Large-scale content-based audio retrieval from text queries. - Gal Chechik; Eugene Ie; Martin Rehn; Samy Bengio; Dick Lyon (Multimedia Information Retrieval, 2008)

Translation-Inspired OCR. - Dmitriy Genzel; Ashok C. Popat; Nemanja Spasojevic; Michael Jahr; Andrew W. Senior; Eugene Ie; Frank Yung-Fong Tang (ICDAR, 2011)

Using Web Co-occurrence Statistics for Improving Image Categorization. - Samy Bengio; Jeffrey Dean; Dumitru Erhan; Eugene Ie; Quoc V. Le; Andrew Rabinovich; Jonathon Shlens; Yoram Singer (CoRR, 2013)

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation. - Vihan Jain; Gabriel Magalhães 001; Alexander Ku; Ashish Vaswani; Eugene Ie; Jason Baldridge (ACL (1), 2019)

Learning Dense Representations for Entity Retrieval. - Daniel Gillick; Sayali Kulkarni; Larry Lansing; Alessandro Presta; Jason Baldridge; Eugene Ie; Diego Garcia-Olano (CoNLL, 2019)

Transferable Representation Learning in Vision-and-Language Navigation. - Haoshuo Huang; Vihan Jain; Harsh Mehta; Alexander Ku; Gabriel Magalhães 001; Jason Baldridge; Eugene Ie (ICCV, 2019)

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Tushar Chandra; Craig Boutilier (IJCAI, 2019)

General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping. - Gabriel Ilharco; Vihan Jain; Alexander Ku; Eugene Ie; Jason Baldridge (ViGIL@NeurIPS, 2019)

Natural Language Grounded Multitask Navigation. - Xin Wang 061; Vihan Jain; Eugene Ie; William Yang Wang; Zornitsa Kozareva; Sujith Ravi (ViGIL@NeurIPS, 2019)

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Morgane Lustman; Vince Gatto; Paul Covington; Jim McFadden; Tushar Chandra; et al. (CoRR, 2019)

Multi-modal Discriminative Model for Vision-and-Language Navigation. - Haoshuo Huang; Vihan Jain; Harsh Mehta; Jason Baldridge; Eugene Ie (CoRR, 2019)

RecSim: A Configurable Simulation Platform for Recommender Systems. - Eugene Ie; Chih-Wei Hsu; Martin Mladenov; Vihan Jain; Sanmit Narvekar; Jing Wang; Rui Wu 020; Craig Boutilier (CoRR, 2019)

VALAN: Vision and Language Agent Navigation. - Larry Lansing; Vihan Jain; Harsh Mehta; Haoshuo Huang; Eugene Ie (CoRR, 2019)

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. - Wang Zhu 001; Hexiang Hu; Jiacheng Chen; Zhiwei Deng; Vihan Jain; Eugene Ie; Fei Sha (ACL, 2020)

Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation. - Xin Eric Wang; Vihan Jain; Eugene Ie; William Yang Wang; Zornitsa Kozareva; Sujith Ravi (ECCV (24), 2020)

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding. - Alexander Ku; Peter Anderson; Roma Patel; Eugene Ie; Jason Baldridge (EMNLP (1), 2020)

Learning to Represent Image and Text with Denotation Graph. - Bowen Zhang 002; Hexiang Hu; Vihan Jain; Eugene Ie; Fei Sha (EMNLP (1), 2020)

Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. - Martin Mladenov; Chih-Wei Hsu; Vihan Jain; Eugene Ie; Christopher Colby; Nicolas Mayoraz; Hubert Pham; Dustin Tran; Ivan Vendrov; Craig Boutilier (RecSys, 2020)

Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View. - Harsh Mehta; Yoav Artzi; Jason Baldridge; Eugene Ie; Piotr Mirowski (CoRR, 2020)

Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation. - Zhiyun Lu; Eugene Ie; Fei Sha (CoRR, 2020)

Spatial Language Representation with Multi-Level Geocoding. - Sayali Kulkarni; Shailee Jain; Mohammad Javad Hosseini; Jason Baldridge; Eugene Ie; Li Zhang (CoRR, 2020)

AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization. - Sayali Kulkarni; Sheide Chammas; Wan Zhu; Fei Sha; Eugene Ie (CoRR, 2020)

A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus. - Bowen Zhang 002; Hexiang Hu; Joonseok Lee; Ming Zhao; Sheide Chammas; Vihan Jain; Eugene Ie; Fei Sha (CoRR, 2020)

On the Evaluation of Vision-and-Language Navigation Instructions. - Ming Zhao; Peter Anderson; Vihan Jain; Su Wang 001; Alexander Ku; Jason Baldridge; Eugene Ie (EACL, 2021)

CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-document Summarization. - Sayali Kulkarni; Sheide Chammas; Wan Zhu; Fei Sha; Eugene Ie (ICDAR (2), 2021)

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems. - Martin Mladenov; Chih-Wei Hsu; Vihan Jain; Eugene Ie; Christopher Colby; Nicolas Mayoraz; Hubert Pham; Dustin Tran; Ivan Vendrov; Craig Boutilier (CoRR, 2021)

Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints. - Jiachen Li; Xinwei Shi; Feiyu Chen; Jonathan Stroud; Zhishuai Zhang; Tian Lan; Junhua Mao; Jeonhyung Kang; Khaled S. Refaat; Weilong Yang; Eugene Ie; Congcong Li (ICRA, 2023)

Improving Multi-Agent Debate with Sparse Communication Topology. - Yunxuan Li; Yibing Du; Jiageng Zhang; Le Hou; Peter Grabowski; Yeqing Li; Eugene Ie (EMNLP (Findings), 2024)

Project MPG: towards a generalized performance benchmark for LLM capabilities. - Lucas Spangher; Tianle Li; William F. Arnold; Nick Masiewicki; Xerxes Dotiwalla; Rama Parusmathi; Peter Grabowski; Eugene Ie; Daniel Gruhl (CoRR, 2024)

Chatbot Arena Estimate: towards a generalized performance benchmark for LLM capabilities. - Lucas Spangher; Tianle Li; William F. Arnold; Nick Masiewicki; Xerxes Dotiwalla; Rama Kumar Pasumarthi; Peter Grabowski; Eugene Ie; Daniel Gruhl (NAACL (Industry Track), 2025)

Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use. - Nicholas Roth; Christopher Hidey; Lucas Spangher; William F. Arnold; Chang Ye; Nick Masiewicki; Jinoo Baek; Peter Grabowski; Eugene Ie (CoRR, 2025)

Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning. - Shenao Zhang; Yaqing Wang; Yinxiao Liu; Tianqi Liu; Peter Grabowski; Eugene Ie; Zhaoran Wang 001; Yunxuan Li (CoRR, 2025)

Improving Rectified Flow with Boundary Conditions. - Xixi Hu 001; Runlong Liao; Keyang Xu; Bo Liu 042; Yeqing Li; Eugene Ie; Hongliang Fei; Qiang Liu 001 (CoRR, 2025)