All cancellations must be sent to registration@ijcai.org via e-mail. Any change of name will be dealt with as a cancellation and a new registration. Students applying to IJCAI-23 Volunteering Program MUST NOT register before notification from Volunteers’ Chair, otherwise the processing fee of U$ 100 shall apply.
In case of cancellations until July 19, 2023, payments will be refunded less U$ 100 processing fee. The processing fee of U$ 100 shall apply to any and all cancellations!
No refund will be made for cancellations received after July 19, 2023 or to the registrants who fail to attend in person.
In case of conference cancellation for reasons beyond the control of IJCAI-23 organizers, the liability of the IJCAI-23 organizers is limited to the fees already paid by the registrants. IJCAI-23 organizers will not be responsible for any personal inconvenience that may arise.
In offering the Hong Kong International Airport, Macao International Airport, Airport public transportation system, Macao public transportation system, the Sheraton @ the Londoner, Macao Group Limited services and all other service providers (hereinafter referred to as “Supplier(s)”) for the IJCAI-23, the IJCAI-23 organizers act only in the capacity of agent for the Suppliers and have no control over personnel, equipment or operations or providers of accommodations or other services included as part of the IJCAI-23 program. The IJCAI-23 organizers assume no responsibility for and will not be liable for any personal delay, inconvenience or other damage suffered by conference participants which may arise by reason of (1) any wrongful or negligent acts or omissions on the part of any Supplier or its employees, (2) any defect in or failure of any vehicle, equipment or instrumentality owned, operated or otherwise used by any Supplier, or (3) any wrongful or negligent acts or omissions on the part of any other party not under control, direct or otherwise, of the IJCAI-23 organizers.
The processing of personal data, such as the name, address, e-mail address, affiliation and payment information of a data subject shall always be in line with the General Data Protection Regulation (GDPR), and in accordance with the country-specific data protection regulations applicable to the IJCAI Organization.
For valuable consideration received, I hereby give the International Joint Conferences on Artificial Intelligence Organization (IJCAI) the absolute and irrevocable right and permission, with respect to the photographs and film or tape that it will take of me during the 32 nd International Joint Conference on Artificial Intelligence (IJCAI-23) held August 19-25, 2023 at the Sheraton in the Londoner, Estrada do Istmo. s/n, Cotai, Macau SAR
(1) To copyright the same in its own name or any other name that it may choose.
(2) To use, re-use, publish, and re-publish the same in whole or in part, individually or in conjunction with other photographs or images or video recordings, in any medium and for any purpose whatsoever, including (but not by way of limitation) illustration, promotion, advertising and trade, and
(3) To use my name in connection therewith if he/she so chooses.
I hereby release and discharge the Photographer/Cameraman, his/her heirs, executors, assigns and any designee (including any agency, client, broadcaster, periodical or other publication) from any and all claims and demands arising out of or in connection with the use of such photographs, film, or tape, including but not limited to any claims for defamation or invasion or privacy.
I am of legal age and have read the foregoing and fully understand the contents thereof.
| ID | Workshop/Event Title | 19th Aug | 20th Aug | 21st Aug | |||
|---|---|---|---|---|---|---|---|
| AM | PM | AM | PM | AM | PM | ||
| W05 | International Workshop on Trustworthy Federated Learning |
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| W06 | The 9th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2023) Special Edition on Deep Learning Methods for Social Media Mining |
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| W07 | 14th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2023) |
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| W08 | 2nd Workshop on the Interactions between Analogical Reasoning and Machine Learning (IARML@IJCAI2023) |
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| W9-54 | The Joint Workshop of the 5th Financial Technology and Natural Language Processing (FinNLP) and 2nd Multimodal AI For Financial Forecasting (MUFFIN) |
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| W10 | 2nd Process Management in the AI Era (PMAI) |
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| W12 | AiOfAi 2023: 3rd Workshop on Adverse Impacts and Collateral Effects of AI Technologies |
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| W15 | The 1st International Workshop on Knowlege-Based Compositional Generalization (KBCG) |
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| W16 | Second International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) |
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| W21 | IJCAI 2023 Workshop on Deepfake Audio Detection and Analysis (DADA 2023) |
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| W22 | Sixth Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) |
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| W23 | AI for Digital Twins and Cyber-Physical applications (AI4DT&CP) |
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| W24 | The 2nd International Workshop on Democracy and AI |
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| W25 | 1st International Workshop on Generalizing from Limited Resources in the Open World |
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| W26 | NSA: Neuro-Symbolic Agents |
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| W19-27 | AISafety and SafeRL Joint Workshop |
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| W28 | First International Workshop on Search and Planning with Complex Objectives |
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| W29 | What can FCA do for Artificial Intelligence? (Eleventh Workshop Edition) |
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| W33 | Auto-Mates: The Future of No-Code Digital Apprentices |
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| W35 | Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches |
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| W36 | Intelligent Technologies for Precision Sports Science (IT4PSS) |
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| W37 | 1st Workshop on Multi-Agent Systems Strategies for Sustainable Intelligent Extraterrestrial Settlements (MASS) |
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| W44 | Knowledge Discovery from Healthcare Data VI |
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| W45 | Explainable AI (XAI) |
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| W46 | First IJCAI Workshop on Computational Fair Division |
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| W50 | IJCAI 2023 Workshop on Bridge-AI: from Climate Change to Health Equity |
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| W51 | The Second Workshop of Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications |
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| W53 | The 3rd AI for Ageless Aging Workshop (AIAA) |
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| W55 | Micro-gesture Analysis for Hidden Emotion Understanding |
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| S01 | International Symposium of Advances and Open Problems in Large Language Models (LLM23) |
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| S02 | International Symposium on Large Language Models for Financial Services (FinLLM 2023) |
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| S03 | International Symposium on Multimodal Reasoning: Techniques, Applications, and Challenges (MMR 2023) |
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| DC | Doctoral Consortium |
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| ID | Tutorial | 19th Aug | 20th Aug | 21st Aug | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AM1 | AM2 | PM1 | PM2 | AM1 | AM2 | PM1 | PM2 | AM1 | AM2 | PM1 | PM2 | ||
| T01 | Advances in Optimal Transport-based Machine Learning |
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| T02 | Deep Reinforcement Learning for Quantitative Trading |
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| T03 | Moving Beyond Traditional Anomaly Detection |
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| T04 | Integrated Task and Motion Planning |
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| T06 | Meaning Representations for Natural Languages: Design, Models and Applications |
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| T07 | Towards Out-of-Distribution Generalization on Graphs |
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| T08 | Trustworthy Recommender Systems: Foundations and Frontiers |
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| T09 | Data-Centric AI: Foundation, Frontiers and Applications in the quest for robust and reliable AI systems |
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| T10 | Knowledge-aware Zero-shot Learning (K-ZSL): Concepts, Methods and Resources |
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| T11 | Continual Learning and Its Extension to Pre-trained Models |
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| T12 | Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities |
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| T13 | Experiments in Computational Social Choice Using Maps of Elections |
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| T14 | Deep Non-IID Learning |
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| T15 | Sentiment Analysis and Beyond in the Era of Enlarged Language Models |
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| T16 | Auditing Bias of Machine Learning Algorithms: Tools and Overview |
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| T17 | Deep Learning Methods for Unsupervised Time Series Anomaly Detection |
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| T18 | Reproducible and Efficient Multi-modal Open Retrieval Question Answering |
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| T19 | The State-of-the-Art and Challenges of Data Stream Clustering Algorithms in Practice |
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| T20 | Deep Learning in Mathematical Reasoning: Recent Advances and Beyond |
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| T21 | Graphical Event Models |
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| T22 | A Hands-on Tutorial for Learning with Noisy Labels |
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| T23 | Combinatorial Solving with Provably Correct Results |
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| T24 | Learning from Non-IID Data: Centralized vs. Federated Learning |
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| T25 | Empathetic Conversational Artificial Intelligence Systems: Recent Advances and New Frontiers |
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| T26 | Joint Modeling in Recommendations: Foundations and Frontiers |
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| T27 | Sparse Training for Supervised, Unsupervised, Continual, and Deep Reinforcement Learning with Deep Neural Networks |
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| T28 | Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding |
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