McAuley, Julian

44 publications

ICML 2025 ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian Mcauley, Derek Zhiyuan Cheng
ICLR 2025 Large Scale Knowledge Washing Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian McAuley
NeurIPS 2025 Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian McAuley, Lina Yao
ICML 2025 M+: Extending MemoryLLM with Scalable Long-Term Memory Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian Mcauley, Dan Gutfreund, Rogerio Feris, Zexue He
ICLR 2025 Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito, Julian McAuley, Hiroki Naganuma
ICLR 2025 OCEAN: Offline Chain-of-Thought Evaluation and Alignment in Large Language Models Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley
ICLR 2025 Presto! Distilling Steps and Layers for Accelerating Music Generation Zachary Novack, Ge Zhu, Jonah Casebeer, Julian McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
NeurIPS 2025 REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing Weihan Xu, Yimeng Ma, Jingyue Huang, Yang Li, Wenye Ma, Taylor Berg-Kirkpatrick, Julian McAuley, Paul Pu Liang, Hao-Wen Dong
TMLR 2025 Reliable and Responsible Foundation Models Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
ICLR 2025 Self-Updatable Large Language Models by Integrating Context into Model Parameters Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian McAuley
CVPR 2025 Symbolic Representation for Any-to-Any Generative Tasks Jiaqi Chen, Xiaoye Zhu, Yue Wang, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian McAuley, Li-jia Li
ICLR 2025 TeaserGen: Generating Teasers for Long Documentaries Weihan Xu, Paul Pu Liang, Haven Kim, Julian McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong
ICLRW 2025 Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training Shijian Wang, Linxin Song, Jieyu Zhang, Ryotaro Shimizu, Ao Luo, Li Yao, Cunjian Chen, Julian McAuley, Hanqian Wu
TMLR 2025 Towards LifeSpan Cognitive Systems Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian McAuley
TMLR 2024 A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law Zhiyu Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian McAuley, Linda Ruth Petzold, William Yang Wang
ICMLW 2024 CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory Zexue He, Leonid Karlinsky, Donghyun Kim, Julian McAuley, Dmitry Krotov, Rogerio Feris
ICML 2024 DITTO: Diffusion Inference-Time T-Optimization for Music Generation Zachary Novack, Julian Mcauley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan
WACV 2024 Driving Through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving Jessica Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian McAuley
ICML 2024 MEMORYLLM: Towards Self-Updatable Large Language Models Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian Mcauley
NeurIPSW 2024 Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito, Julian McAuley, Hiroki Naganuma
ICLR 2024 RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems Tianyang Liu, Canwen Xu, Julian McAuley
ICML 2024 SelfVC: Voice Conversion with Iterative Refinement Using Self Transformations Paarth Neekhara, Shehzeen Samarah Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian Mcauley
ICML 2024 Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian Mcauley, Zichao Yang, Eric P. Xing, Zhiting Hu
ICML 2023 CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets Zachary Novack, Julian Mcauley, Zachary Chase Lipton, Saurabh Garg
ICLRW 2023 CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets Zachary Novack, Julian McAuley, Zachary Chase Lipton, Saurabh Garg
ICLR 2023 CLIPSep: Learning Text-Queried Sound Separation with Noisy Unlabeled Videos Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian McAuley, Taylor Berg-Kirkpatrick
TMLR 2023 Data Distillation: A Survey Noveen Sachdeva, Julian McAuley
ICCV 2023 Learning Concise and Descriptive Attributes for Visual Recognition An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian McAuley
ICML 2023 LongCoder: A Long-Range Pre-Trained Language Model for Code Completion Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian Mcauley
WACV 2022 Cross-Modal Adversarial Reprogramming Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley
ICML 2022 Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian Mcauley
WACV 2021 Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian McAuley
ACML 2021 Expressive Neural Voice Cloning Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley
UAI 2021 ReZero Is All You Need: Fast Convergence at Large Depth Thomas Bachlechner, Bodhisattwa Prasad Majumder, Henry Mao, Gary Cottrell, Julian McAuley
NeurIPS 2020 BERT Loses Patience: Fast and Robust Inference with Early Exit Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian McAuley, Ke Xu, Furu Wei
ICLR 2019 Adversarial Audio Synthesis Chris Donahue, Julian McAuley, Miller Puckette
MLHC 2019 Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian McAuley, Zachary C. Lipton
NeurIPS 2018 Does Mitigating ML's Impact Disparity Require Treatment Disparity? Zachary Lipton, Julian McAuley, Alexandra Chouldechova
ICLR 2018 Semantically Decomposing the Latent Spaces of Generative Adversarial Networks Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley
ICML 2017 Dance Dance Convolution Chris Donahue, Zachary C. Lipton, Julian McAuley
MLHC 2017 Predicting Surgery Duration with Neural Heteroscedastic Regression Nathan H Ng, Rodney A Gabriel, Julian McAuley, Charles Elkan, Zachary C Lipton
CVPR 2016 Pairwise Matching Through Max-Weight Bipartite Belief Propagation Zhen Zhang, Qinfeng Shi, Julian McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel
ICCV 2015 Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences Andreas Veit, Balazs Kovacs, Sean Bell, Julian McAuley, Kavita Bala, Serge Belongie
AISTATS 2010 Exploiting Within-Clique Factorizations in Junction-Tree Algorithms Julian McAuley, Tiberio Caetano