


Остановите войну!
for scientists:


default search action
Julian 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
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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) - [c150]Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley:
Assistive Recipe Editing through Critiquing. EACL 2023: 375-384 - [c149]Canwen Xu, Julian J. McAuley:
A Survey on Dynamic Neural Networks for Natural Language Processing. EACL (Findings) 2023: 2325-2336 - [c148]Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley:
Unsupervised Improvement of Factual Knowledge in Language Models. EACL 2023: 2952-2961 - [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 - [i132]Noveen Sachdeva, Julian J. McAuley:
Data Distillation: A Survey. CoRR abs/2301.04272 (2023) - [i131]Zachary Novack, Saurabh Garg, Julian J. McAuley, Zachary C. Lipton:
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets. CoRR abs/2302.02551 (2023) - [i130]Canwen Xu, Julian J. McAuley, Penghan Wang:
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. CoRR abs/2303.08697 (2023) - [i129]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) - [i128]Nafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley:
Unsupervised Improvement of Factual Knowledge in Language Models. CoRR abs/2304.01597 (2023) - [i127]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) - [i126]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) - 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]An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, Julian J. McAuley:
CLIP also Understands Text: Prompting CLIP for Phrase Understanding. CoRR abs/2210.05836 (2022) - [i97]Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley:
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. CoRR abs/2210.07440 (2022) - [i96]Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Controlling Bias Exposure for Fair Interpretable Predictions. CoRR abs/2210.07455 (2022) - [i95]Wangchunshu Zhou, Canwen Xu, Julian J. McAuley:
Efficiently Tuned Parameters are Task Embeddings. CoRR abs/2210.11705 (2022) - [i94]Nafis Sadeq, Canwen Xu, Julian J. McAuley:
InforMask: Unsupervised Informative Masking for Language Model Pretraining. CoRR abs/2210.11771 (2022) - [i93]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR abs/2210.12316 (2022) - [i92]Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick:
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. CoRR abs/2212.07065 (2022) - [i91]Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. CoRR abs/2212.09864 (2022) - 2021
- [c112]Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani:
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. ACL/IJCNLP (2) 2021: 585-592 - [c111]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. ACL/IJCNLP (1) 2021: 4568-4581 - [c110]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. ACML 2021: 252-267 - [c109]Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley:
Locker: Locally Constrained Self-Attentive Sequential Recommendation. CIKM 2021: 3088-3092 - [c108]Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley:
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. EACL 2021: 1063-1074 - [c107]An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu:
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation. EMNLP (Findings) 2021: 4009-4015 - [c106]Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley:
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding. EMNLP (Findings) 2021: 4173-4181 - [c105]Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. EMNLP (1) 2021: 10653-10659 - [c104]Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. ISMIR 2021: 159-166 - [c103]Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. ISMIR 2021: 167-173 - [c102]Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik S. Dave, Mohammad Korayem:
Workshop on Online and Adaptative Recommender Systems (OARS). KDD 2021: 4116-4117 - [c101]Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. NAACL-HLT 2021: 2139-2145 - [c100]Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley:
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. NAACL-HLT 2021: 4300-4312 - [c99]Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. RecSys 2021: 44-54 - [c98]Jérémie Rappaz, Julian J. McAuley, Karl Aberer:
Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption. RecSys 2021: 390-399 - [c97]Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Gary Cottrell, Julian J. McAuley:
ReZero is all you need: fast convergence at large depth. UAI 2021: 1352-1361 - [c96]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. USENIX Security Symposium 2021: 2273-2290 - [c95]Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. WACV 2021: 3347-3356 - [e3]Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge:
RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021. ACM 2021, ISBN 978-1-4503-8458-2 [contents] - [i90]Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley:
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. CoRR abs/2101.08333 (2021) - [i89]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. CoRR abs/2102.00151 (2021) - [i88]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. CoRR abs/2102.07325 (2021) - [i87]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. CoRR abs/2103.03344 (2021) - [i86]Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei:
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. CoRR abs/2104.02704 (2021) - [i85]Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley:
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge. CoRR abs/2104.06828 (2021) - [i84]Shuyang Li
, Yufei Li, Jianmo Ni, Julian J. McAuley:
SHARE: a System for Hierarchical Assistive Recipe Editing. CoRR abs/2105.08185 (2021) - [i83]Wangchunshu Zhou, Canwen Xu, Julian J. McAuley:
Meta Learning for Knowledge Distillation. CoRR abs/2106.04570 (2021) - [i82]Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani:
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. CoRR abs/2106.08364 (2021) - [i81]Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley:
Rationale-Inspired Natural Language Explanations with Commonsense. CoRR abs/2106.13876 (2021) - [i80]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. CoRR abs/2107.02282 (2021) - [i79]Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
SVP-CF: Selection via Proxy for Collaborative Filtering Data. CoRR abs/2107.04984 (2021) - [i78]Hao-Wen Dong
, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. CoRR abs/2107.05916 (2021) - [i77]Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. CoRR abs/2108.01769 (2021) - [i76]Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong:
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. CoRR abs/2108.06479 (2021) - [i75]Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. CoRR abs/2109.01165 (2021) - [i74]