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ORCIDJulian J. McAuley
Julian John McAuley
Person information
- affiliation: University of California, San Diego, Department of Computer Science and Engineering, CA, USA
- affiliation: Stanford University, InfoLab, CA, USA
- affiliation: NICTA, Canberra, Australia
- affiliation: Australian National University, Research School of Information Sciences and Engineering, Australia
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2020 – today
- 2023
[j11]Xiaocong Chen
, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. 264: 110335 (2023)- [c167]Canwen Xu, Julian J. McAuley:
A Survey on Model Compression and Acceleration for Pretrained Language Models. AAAI 2023: 10566-10575 - [c166]Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. AAAI 2023: 13816-13824 - [c165]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. AAAI 2023: 14232-14240 - [c164]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. ACL (2) 2023: 540-553 - [c163]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) 2023: 8080-8098 - [c162]Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley:
Large Language Models as Zero-Shot Conversational Recommenders. CIKM 2023: 720-730 - [c161]Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang:
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM 2023: 5267-5270 - [c160]Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley:
Assistive Recipe Editing through Critiquing. EACL 2023: 375-384 - [c159]Canwen Xu, Julian J. McAuley:
A Survey on Dynamic Neural Networks for Natural Language Processing. EACL (Findings) 2023: 2325-2336 - [c158]Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley:
Unsupervised Improvement of Factual Knowledge in Language Models. EACL 2023: 2952-2961 - [c157]Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick:
Multitrack Music Transformer. ICASSP 2023: 1-5 - [c156]Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick:
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. ICLR 2023 - [c155]Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley:
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. ICML 2023: 12098-12107 - [c154]Zachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg:
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. ICML 2023: 26342-26362 - [c153]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD 2023: 1248-1257 - [c152]Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. KDD 2023: 1258-1267 - [c151]Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai:
Generative Flow Network for Listwise Recommendation. KDD 2023: 1524-1534 - [c150]Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen:
3rd Workshop on Online and Adaptive Recommender Systems (OARS). KDD 2023: 5855-5856 - [c149]An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. SIGIR 2023: 2251-2255 - [c148]Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley:
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. WASPAA 2023: 1-5 - [c147]Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu:
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM 2023: 553-561 - [c146]Canwen Xu, Julian J. McAuley, Penghan Wang:
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. WWW (Companion Volume) 2023: 49-52 - [c145]Brendan Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Jointly modeling products and resource pages for task-oriented recommendation. WWW (Companion Volume) 2023: 432-436 - [c144]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW 2023: 1162-1171 - [i157]Noveen Sachdeva, Julian J. McAuley:
Data Distillation: A Survey. CoRR abs/2301.04272 (2023) - [i156]Zachary Novack, Saurabh Garg, Julian J. McAuley, Zachary C. Lipton:
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. CoRR abs/2302.02551 (2023) - [i155]Canwen Xu, Julian J. McAuley, Penghan Wang:
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. CoRR abs/2303.08697 (2023) - [i154]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. CoRR abs/2304.01196 (2023) - [i153]Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley:
Unsupervised Improvement of Factual Knowledge in Language Models. CoRR abs/2304.01597 (2023) - [i152]Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. CoRR abs/2305.08300 (2023) - [i151]Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao:
Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR abs/2305.08845 (2023) - [i150]Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley:
Small Models are Valuable Plug-ins for Large Language Models. CoRR abs/2305.08848 (2023) - [i149]Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. CoRR abs/2305.13731 (2023) - [i148]Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai:
Generative Flow Network for Listwise Recommendation. CoRR abs/2306.02239 (2023) - [i147]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. CoRR abs/2306.02980 (2023) - [i146]Tianyang Liu, Canwen Xu, Julian J. McAuley:
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. CoRR abs/2306.03091 (2023) - [i145]Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley:
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. CoRR abs/2306.09635 (2023) - [i144]Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley:
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. CoRR abs/2306.14893 (2023) - [i143]Jessica Maria Echterhoff, An Yan, Julian J. McAuley:
Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews. CoRR abs/2307.03691 (2023) - [i142]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR abs/2308.03685 (2023) - [i141]Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley:
Large Language Models as Zero-Shot Conversational Recommenders. CoRR abs/2308.10053 (2023) - [i140]Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao:
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR abs/2308.11336 (2023) - [i139]Yuanjiang Cao, Quan Z. Sheng, Julian J. McAuley, Lina Yao:
Reinforcement Learning for Generative AI: A Survey. CoRR abs/2308.14328 (2023) - [i138]Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao:
Contrastive Post-training Large Language Models on Data Curriculum. CoRR abs/2310.02263 (2023) - [i137]Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang:
Linear Recurrent Units for Sequential Recommendation. CoRR abs/2310.02367 (2023) - [i136]An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley:
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR abs/2310.03182 (2023) - [i135]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR abs/2310.09233 (2023) - [i134]Paarth Neekhara, Shehzeen Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. CoRR abs/2310.09653 (2023) - [i133]Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley:
Farzi Data: Autoregressive Data Distillation. CoRR abs/2310.09983 (2023) - [i132]Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Unsupervised Lead Sheet Generation via Semantic Compression. CoRR abs/2310.10772 (2023) - [i131]Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. CoRR abs/2310.14088 (2023) - [i130]Petros Karypis, Julian J. McAuley, George Karypis:
Extending Input Contexts of Language Models through Training on Segmented Sequences. CoRR abs/2310.14633 (2023) - [i129]Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley:
Off-Policy Evaluation for Large Action Spaces via Policy Convolution. CoRR abs/2310.15433 (2023) - [i128]Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley:
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. CoRR abs/2310.16639 (2023) - [i127]An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, Jianfeng Wang, Jianwei Yang, Yiwu Zhong, Julian J. McAuley, Jianfeng Gao, Zicheng Liu, Lijuan Wang:
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. CoRR abs/2311.07562 (2023) - [i126]Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong:
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. CoRR abs/2311.12257 (2023) - 2022
- [j10]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5175-5186 (2022) - [c143]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI 2022: 11530-11537 - [c142]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. ACL (1) 2022: 3140-3153 - [c141]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. ACL (Findings) 2022: 3557-3569 - [c140]Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. ACL (1) 2022: 6159-6169 - [c139]Wangchunshu Zhou, Canwen Xu, Julian J. McAuley:
BERT Learns to Teach: Knowledge Distillation with Meta Learning. ACL (1) 2022: 7037-7049 - [c138]Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian J. McAuley:
SkipBERT: Efficient Inference with Shallow Layer Skipping. ACL (1) 2022: 7287-7301 - [c137]Jessica Maria Echterhoff, Matin Yarmand, Julian J. McAuley:
AI-Moderated Decision-Making: Capturing and Balancing Anchoring Bias in Sequential Decision Tasks. CHI 2022: 161:1-161:9 - [c136]Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
SPOT: Knowledge-Enhanced Language Representations for Information Extraction. CIKM 2022: 1124-1134 - [c135]Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar:
Rank List Sensitivity of Recommender Systems to Interaction Perturbations. CIKM 2022: 1584-1594 - [c134]Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley:
Query-Aware Sequential Recommendation. CIKM 2022: 4019-4023 - [c133]Xing Lu, An Yan, Eric Y. Chang, Chun-Nan Hsu, Julian J. McAuley, Jiang Du, Amilcare Gentili:
Semi-supervised Multi-Label Classification with 3D CBAM Resnet for Tuberculosis Cavern Report. CLEF (Working Notes) 2022: 1474-1479 - [c132]Wangchunshu Zhou, Canwen Xu, Julian J. McAuley:
Efficiently Tuned Parameters Are Task Embeddings. EMNLP 2022: 5007-5014 - [c131]Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Controlling Bias Exposure for Fair Interpretable Predictions. EMNLP (Findings) 2022: 5854-5866 - [c130]Nafis Sadeq, Canwen Xu, Julian J. McAuley:
InforMask: Unsupervised Informative Masking for Language Model Pretraining. EMNLP 2022: 5866-5878 - [c129]Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley:
SHARE: a System for Hierarchical Assistive Recipe Editing. EMNLP 2022: 11077-11090 - [c128]Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Deep Performer: Score-to-Audio Music Performance Synthesis. ICASSP 2022: 951-955 - [c127]Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley:
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. ICML 2022: 14786-14801 - [c126]Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov:
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. ISMIR 2022: 726-732 - [c125]Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley:
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. ITSC 2022: 2528-2535 - [c124]Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem:
2nd Workshop on Online and Adaptive Recommender Systems (OARS). KDD 2022: 4862-4863 - [c123]Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley:
Instilling Type Knowledge in Language Models via Multi-Task QA. NAACL-HLT (Findings) 2022: 594-603 - [c122]Han Wang, Canwen Xu, Julian J. McAuley:
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. NAACL-HLT 2022: 5483-5492 - [c121]Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley:
Infinite Recommendation Networks: A Data-Centric Approach. NeurIPS 2022 - [c120]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys 2022: 288-298 - [c119]Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales. RecSys 2022: 327-337 - [c118]Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang:
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR 2022: 1316-1325 - [c117]Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley:
Coarse-to-Fine Sparse Sequential Recommendation. SIGIR 2022: 2082-2086 - [c116]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. WACV 2022: 2898-2906 - [c115]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
On Sampling Collaborative Filtering Datasets. WSDM 2022: 842-850 - [c114]An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley:
Personalized Complementary Product Recommendation. WWW (Companion Volume) 2022: 146-151 - [c113]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. WWW 2022: 2172-2182 - [i125]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
On Sampling Collaborative Filtering Datasets. CoRR abs/2201.04768 (2022) - [i124]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. CoRR abs/2202.02519 (2022) - [i123]Yashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia:
A Review of Modern Fashion Recommender Systems. CoRR abs/2202.02757 (2022) - [i122]Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Deep Performer: Score-to-Audio Music Performance Synthesis. CoRR abs/2202.06034 (2022) - [i121]Canwen Xu, Julian J. McAuley:
A Survey on Dynamic Neural Networks for Natural Language Processing. CoRR abs/2202.07101 (2022) - [i120]Canwen Xu, Julian J. McAuley:
A Survey on Model Compression for Natural Language Processing. CoRR abs/2202.07105 (2022) - [i119]Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. CoRR abs/2202.13469 (2022) - [i118]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR abs/2203.03072 (2022) - [i117]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. CoRR abs/2203.06169 (2022) - [i116]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. CoRR abs/2203.11399 (2022) - [i115]Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley:
Coarse-to-Fine Sparse Sequential Recommendation. CoRR abs/2204.01839 (2022) - [i114]Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar:
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. CoRR abs/2204.01960 (2022) - [i113]Han Wang, Canwen Xu, Julian J. McAuley:
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. CoRR abs/2204.06305 (2022) - [i112]Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley:
Instilling Type Knowledge in Language Models via Multi-Task QA. CoRR abs/2204.13796 (2022) - [i111]Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley:
Assistive Recipe Editing through Critiquing. CoRR abs/2205.02454 (2022) - [i110]Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley:
Infinite Recommendation Networks: A Data-Centric Approach. CoRR abs/2206.02626 (2022) - [i109]An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian J. McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. CoRR abs/2207.00422 (2022) - [i108]Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick:
Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. CoRR abs/2207.06983 (2022) - [i107]Karin Sevegnani, Arjun Seshadri, Tian Wang, Anurag Beniwal, Julian J. McAuley, Alan Lu, Gerard Medioni:
Contrastive Learning for Interactive Recommendation in Fashion. CoRR abs/2207.12033 (2022) - [i106]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR abs/2207.12628 (2022) - [i105]Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong:
Generating Negative Samples for Sequential Recommendation. CoRR abs/2208.03645 (2022) - [i104]Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley:
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR abs/2208.05142 (2022) - [i103]Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction. CoRR abs/2208.09625 (2022) - [i102]Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov:
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. CoRR abs/2209.02871 (2022) - [i101]Zhouhang Xie, Julian J. McAuley, Bodhisattwa Prasad Majumder:
On Faithfulness and Coherence of Language Explanations for Recommendation Systems. CoRR abs/2209.05409 (2022) - [i100]Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. CoRR abs/2209.12613 (2022) - [i99]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. CoRR abs/2209.13885 (2022) - [i98]