Ijcai 2021 twitter

Ijcai 2021 twitter. (1) It has 11 fine-grained categories of transparent In this research, we propose BESA, a BERT-based Simulated Annealing algorithm, to address these two problems. Please check back regularly. This will be the second time that IJCAI is held in China: the first time was 2013 in Beijing, the capital of this large country. Macao is the single most consistent example of cultural interchange between Europe Video Question Answering (Video QA) is a powerful testbed to develop new AI capabilities. au) will continue to serve as an Ethics Chair for the conference in 2023. Firstly, we leverage the BERT Masked Language Model (MLM) to generate contextual-aware candidate words to produce fluent adversarial text and avoid grammar errors. In this work, we identify a cause of unfairness in FL -- conflicting gradients with large differences in the magnitudes. Zeynep G. Secondly, we group the existing researches of ID into two major categories: super-vised ID and unsupervised ID. TU Wien. Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning In this paper, we proposed a novel contrastive self-distillation (CSD) framework to simultaneously compress and accelerate various off-the-shelf SR models. showing all ?? records. Please check out our video for an overview of the IJCAI-ECAI 2022 reviewing process Welcome to IJCAI | IJCAI Welcome to IJCAI. The field of time series classification has been particularly active recently with the development of more and more efficient methods. PDF BibTeX. org 2021. We propose an audio-driven talking-head method to generate photo-realistic talking-head videos from a single reference image. Existing news recommendation methods usually model users' interest from their behaviors via sequential or attentive models. ), Shenda Hong (National Institute of Health Data Science, Peking University, Beijing, China. Extensive experiments on the Microsoft News Dataset (MIND) demonstrate that our approach In this paper, we conduct a comprehensive survey on the recent proposed dehazing methods. Aug 21, 2021 · Submissions are invited for the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), which is planned to be held in Montreal, Canada, from August 21st to August 26th, 2021. Talks at IJCAI-ECAI 2022 were not live streamed. Besides, we introduce a simple but effective operation, Num2Vec, to tackle the instability of encoded values, which helps model converge more smoothly. LATE REGISTRATION: August 11, 2021-August 18, 2021 (UTC-12, AoE) ONSITE REGISTRATION: August 19-26, 2021 (noon, EDT) Please read the following information carefully along with the Conference The in-person component of IJCAI-ECAI 2022 in Vienna ran from 23 to 29 July and will consist of in-person presentations. We introduce the first method for verifying the time-unbounded safety of neural networks controlling dynamical systems. Formally verifying that reinforcement learning systems act safely is increasingly important, but existing methods only verify over finite time. #SC2 Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract) In this paper, we proposed a novel design of local differential privacy mechanism for federated learning to address the abovementioned issues. In order to break this expressiveness barrier, GNNs have been enhanced with In this paper, we propose an unsupervised Time-Series representation learning framework via Temporal and Contextual Contrasting (TS-TCC), to learn time-series representation from unlabeled data. Instead of using the dominant anchor proposal fashion, we directly take the dense-grid of image as input for a cross-attention transformer that learns grid-word Electronic proceedings of IJCAI 2021. In particular, a channel-splitting super-resolution network can first be constructed from a target teacher network as a compact student network. Professor Fang is recognized for her contributions to integrating machine learning with game theory and the use of these novel techniques to Aug 10, 2021 · The IJCAI Organization is pleased to announce that registration for IJCAI-21 is open now! ** EARLY REGISTRATION CUTOFF: August 10, 2021 (UTC-12, AoE) **. Last updated: Mar. — July 16 (23:59 UTC): Phase II starts, release the test data; all participants have 48 hours to download the test Mar 23, 2021 · IJCAI-21 FAQ. Electronic proceedings of IJCAI 2021. Second, to train the network without overfitting in self-loop input label information, UniMP introduces a masked label prediction strategy, in which some percentage of input label information are masked at random, and then predicted. Our pipeline first generates tracklet proposals, then refines these tracklets and associates them to generate long trajectories. First, the raw time-series data are transformed into two different yet correlated views by using weak and strong augmentations. We use Fictitious Play and alternate: (1) computing an approximate best response Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21) 3272. UniMP conceptually unifies feature propagation and label propagation and is empirically powerful. In recommender systems, the cold-start problem is a critical issue. ” Existing research for image captioning usually represents an image using a scene graph with low-level facts (objects and relations) and fails to capture the high-level semantics. We overview the literature focusing on different types of explanation (intrinsic and post-hoc), different models with which argumentation-based Mar 26, 2021 · Here's the URL for this Tweet. Good way to stifle progress, IJCAI. First, crowd counting is formulated as a measure matching problem. g. Specifically, object proposal generation and motion regression are first performed on a point However, the performance of recent frame-based detection methods become limited due to their ignorance of the inter-frame inconsistency of fake videos. The results show that MDNN can accurately predict DDI events and outperform the state-of-the-art models. In this paper, we propose a novel Dynamic Inconsistency-aware Network to handle the inconsistent problem, which uses a Cross-Reference module (CRM) to capture both the global and local inter Graph neural networks (GNNs) are effective models for representation learning on relational data. Access to the pre-recorded video’s and limited support for interaction with authors of the above mentioned tracks was In this survey we overview XAI approaches built using methods from the field of computational argumentation, leveraging its wide array of reasoning abstractions and explanation delivery methods. To alleviate this problem, an emerging direction adopts meta-learning frameworks and achieves success. Vesna Sabljakovic-Fritz, Vienna University of Technology, Institute of Discrete Mathematics and Geometry, E104 Wiedner Hauptstr. Unlike other existing face swapping works that only use face recognition model to keep the identity similarity, we propose 3D shape-aware identity to control the face . We also analyze the multiplicative loss in social welfare incurred due to the lack of full information with and without fairness requirements. Secondly, we employ Simulated Annealing (SA) to adaptively determine the Electronic proceedings of IJCAI 2021. Copy it to easily share with friends. To address this issue, we propose the federated fair averaging (FedFV) algorithm to mitigate potential conflicts among clients before Time series analysis has gained a lot of interest during the last decade with diverse applications in a large range of domains such as medicine, physic, and industry. The winner of the 2021 IJCAI Computers and Thought Award is Fei Fang , Leonardo Assistant Professor in the Institute for Software Research in the School of Computer Science at Carnegie Mellon University. This is of limited use for dynamical systems that run indefinitely. However, this requirement may force the models spending lots of their effort on reconstructing the unuseful background Finally, a multimodal fusion neural layer is designed to explore the complementary among the drug multimodal representations. The conference series has been organized by the nonprofit IJCAI Organization since 1969, making it the oldest premier AI conference series in the world. The resurgence of deep learning has greatly advanced this field by neural generation models, especially the paradigm of pretrained language models (PLMs). RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou 4 Experiments. org IJCAI Secretary-Treasurer: Prof. In this paper, we leverage the differential privacy (DP) framework to formulate and enforce rigorous privacy constraints on deep graph generation models, with a focus on edge-DP to guarantee IJCAI Secretary-Treasurer: Kristian Kersting, Computer Science Department, Technical University of Darmstadt, Hochschulstraße 10, D-64289 Darmstadt, Germany. If you do not find an answer to your question here, you are welcome to contact the IJCAI-21 program chair at pcchair@ijcai-21. This paper proposes the first tracklet proposal network, named PC-TCNN, for Multi-Object Tracking (MOT) on point clouds. However, the existing methods assume that Important Dates. The topic of neural TPPs has attracted significant attention in the recent Existing research for image captioning usually represents an image using a scene graph with low-level facts (objects and relations) and fails to capture the high-level semantics. TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data Hadjer Benmeziane (LAMIH/CNRS, Polytechnic University Hauts-de-France), Kaoutar El Maghraoui (IBM Research), Hamza Ouarnoughi (Université Polytechnique Hauts-de-France), Smail Niar (LAMIH/CNRS, Polytechnic University Hauts-de-France), Martin Wistuba (IBM Research Ireland), Naigang Wang (IBM T. Saribatur. In order to break this expressiveness barrier, GNNs have been enhanced with In contrast to existing research, our UNBERT model not only leverages the pre-trained model with rich language knowledge to enhance textual representation, but also captures multi-grained user-news matching signals at both word-level and news-level. This page will be updated with questions (and answers) as they arise. Starting from 1969, IJCAI has remained the premier conference bringing together the international AI community to communicate the advances and Based on these two decoupled C-CDC, a powerful Dual-Cross Central Difference Network (DC-CDN) is established with Cross Feature Interaction Modules (CFIM) for mutual relation mining and local detailed representation enhancement. parameters of dK-graph models to be private. From a practical perspective, EventDrop is simple to International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality. In this frame-work, we first introduce a new lane representation. However, based Sleep staging is fundamental for sleep assessment and disease diagnosis. Submission site opening: December 30, 2020. Firstly, we conclude the commonly used datasets, loss functions and evaluation metrics. ijcai. Timeline of the competition: — May 1, 2021: Launch the competition website. Dr. Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease Yunyue Wei, Bingquan Zhu, Chen Hou, Chen Zhang, Yanan Sui Electronic proceedings of IJCAI 2021. In this paper, we present an overview of the major advances In this paper, we study the impact of negative samples on learning graph-level representations, and a novel curriculum contrastive learning framework for self-supervised graph-level representation, called CuCo, is proposed. #J29 Letter to the Program Committee of the IJCAI 2021 Journal Track AIJ 2021 paper “A Lightweight Epistemic Logic and its Application to Planning” Martin C Cooper (University of Toulouse 3), Andreas Herzig (IRIT Université de Toulouse), Faustine Maffre (IRIT), Frédéric Maris (IRIT, Université Toulouse 3), Elise Perrotin (IRIT PDF BibTeX. This example can fool the state-of-the-art deep convolutional neural Click-through rate (CTR) estimation plays as a core function module in various personalized online services, including online advertising, recommender systems, and web search etc. Most existing works aim to learn globally shared prior knowledge across all users so that it can be quickly adapted to a new user with sparse interactions. Unlike the previous transformer-style GNNs that treat molecule as a fully connected graph, we introduce a message diffusion mechanism to leverage the graph connectivity inductive bias and reduce the message enrichment explosion. School of Electronics Engineering and Computer Science, Peking University, Beijing, China. However, they cannot model the rich relatedness between user behaviors, which can provide useful contexts of these behaviors for user interest modeling. IJCAI Executive Director - IJCAI Executive Secretary Ms. org, but please make sure that you have read IJCAI-21 CFP and the current FAQ We characterize the amount of preference information that must be elicited in order to satisfy envy-freeness up to one good and approximate maximin share guarantee, two widely studied fairness notions. Fairness has emerged as a critical problem in federated learning (FL). This tutorial introduces the speaker’s recent studies, which make the first breakthrough in theoretically unifying two classic directions of explainable AI (XAI), i. All times are in (select to change) W07: IJCAI-21 Workshop on Applied Semantics Extraction and Aug 20 20:00 – 23:00 Montreal Time (UTC-4) Quanshi Zhang. I don't imagine IJCAI papers are so much worse. Fernando P. Towards smart contract vulnerability detection, conventional methods heavily rely on fixed expert rules, leading to low accuracy and poor scalability. Furthermore, a novel Patch Exchange (PE) augmentation strategy for FAS is proposed via simply exchanging the face PDF BibTeX. Video Question Answering (Video QA) is a powerful testbed to develop new AI capabilities. Current weakly-supervised semantic segmentation (WSSS) methods with image-level labels mainly adopt class activation maps (CAM) to generate the initial pseudo labels. MEDA is composed of two modules, a ball generator and a meta PDF BibTeX. 8 Electronic proceedings of IJCAI 2021. Neural TPPs combine the fundamental ideas from point process literature with deep learning approaches, thus enabling construction of flexible and efficient models. We first propose a curriculum negative sampling method, for each input path, to generate a small amount of negative paths, by following the principles of curriculum learning. Second, we derive a semi-balanced form of Sinkhorn divergence, based on which a Sinkhorn counting loss is designed for The core of Segtran is a novel Squeeze-and-Expansion transformer: a squeezed attention block regularizes the self attention of transformers, and an expansion block learns diversified representations. Although previous attempts to classify sleep stages have achieved high classification performance, several challenges remain open: 1) How to effectively extract salient waves in multimodal sleep data; 2) How to capture the multi-scale transition rules among sleep stages; 3) How to adaptively seize the key role of specific Since event-based cameras record the visual input as asynchronous discrete events, they are inherently suitable to cooperate with the spiking neural network (SNN). , to simulate various levels of occlusion). Many unsupervised hashing methods are implicitly established on the idea of reconstructing the input data, which basically encourages the hashing codes to retain as much information of original data as possible. High-level reasoning demands lifting from associative visual pattern recognition to symbol like manipulation over objects Graph neural networks (GNNs) are effective models for representation learning on relational data. This task necessitates learning to reason about objects, relations, and events across visual and linguistic domains in space-time. IJCAI Executive Secretary Ms. Existing works of SNNs for processing events mainly focus on the task of object recognition. We conduct the experiments on the Node Property Pre-diction of Open Graph Benchmark (OGBN Our extensive experimental results on various datasets validate that FEDMD-NFDP can deliver not only comparable utility and communication efficiency but also provide a noise-free differential privacy guarantee. To address these difficulties (i. Zhi-Hua Zhou: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021. Firstly, we summa-rize the commonly used datasets, loss functions and evaluation metrics. , adversarial vignetting attack (AVA), which aims to embed intentionally misleading information into the vignetting and produce a natural adversarial example without noise patterns. We also demonstrate the feasibility of our FEDMD-NFDP by considering both IID and Non-IID settings, heterogeneous model architectures Smart contracts hold digital coins worth billions of dollars, their security issues have drawn extensive attention in the past years. Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, School of Cyber Security. High-level reasoning demands lifting from associative visual pattern recognition to symbol like manipulation over objects Apr 19, 2022 · Where on Twitter do you find all the #IJCAI2022 workshop calls? 2021. , characterizing lanes, model-ing the relationship between scenes and lanes, and supporting more attributes), we propose a novel structure guided frame-work for lane detection, denoted as SGNet. This paper proposes a Clustering-induced Adaptive Structure Enhancing Network (CASEN) for incom-plete multi-view clustering, which is an end-to-end trainable framework that jointly conducts multi-view structure enhancing and data clustering. 23, 2021. The International Joint Conference on Artificial Intelligence ( IJCAI) is the leading conference in the field of artificial intelligence. Toby Walsh (tw@cse. In this paper, we introduce a novel framework for few-shot text classification, which is named as MEta-learning with Data Augmentation (MEDA). Unlike Trans10K-v1 that only has two limited categories, our new dataset has several appealing benefits. However, CAM usually only identifies the most discriminative object extents, which is attributed to the fact that the network doesn't need to discover the integral IJCAI-19August 10-16, 2019, Macao, China. Second, we derive a semi-balanced form of Sinkhorn divergence, based on which a Sinkhorn counting loss is designed for Word Sense Disambiguation (WSD) aims at making explicit the semantics of a word in context by identifying the most suitable meaning from a predefined sense inventory. Watson Research Center) This work presents a new fine-grained transparent object segmentation dataset, termed Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation dataset. We also demonstrate the feasibility of our FEDMD-NFDP by considering both IID and Non-IID settings, heterogeneous model architectures Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation Yasheng Sun, Hang Zhou, Ziwei Liu, Hideki Koike Through key-value matching based on relevancy evaluation, the proposed MatchVIE can bypass the recognitions to various semantics, and simply focuses on the strong relevancy between entities. It makes the local weights update differentially private by adapting to the varying ranges at different layers of a deep neural network, which introduces a smaller variance of the estimated model weights Jan 4, 2023 · The IJCAI review form will include a section asking reviewers and ACs to flag any serious ethical concerns. Our method adopts multi-view autoencoder to infer the missing features of the incomplete samples. #SC1 Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract) [Presented at HCOMP] Amy Rechkemmer (Purdue University), Ming Yin (Purdue University) Watch video. Welcome to IJCAI 2019, the 28th International Joint Conference on Artificial Intelligence. In this paper, we propose a new measure-based counting approach to regress the predicted density maps to the scattered point-annotated ground truth directly. The core ideas of various influential dehazing models are In this paper, we conduct a comprehensive survey on the recent proposed dehazing methods. Princeton University. Institute of Medical Technology, Health Science Center of Peking University, Beijing, China. Extensive experiments demonstrated that the proposed model obtained superior performances (around 4% on average In this paper, we introduce EventDrop, a new method for augmenting asynchronous event data to improve the generalization of deep models. Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting Sister Conferences Best Papers. Kui Jia. Our algorithm finds a Nash Equilibrium and the agents adapt their velocity to match the neighboring flock’s average one. From 2015, the success of deep learning started to benefit CTR estimation performance and now deep CTR models have been widely applied in many industrial platforms. In this paper, we propose a Theme Concepts extended Image Captioning (TCIC) framework that incorporates theme concepts to represent high-level cross-modality semantics. 052 D-79110 Freiburg, Germany. Recent breakthroughs in representation learning have fueled intensive WSD research, resulting in considerable performance improvements, breaching the 80% glass ceiling set by the To alleviate this problem, this work proposes a novel multi-modal residual knowledge distillation method (MRD-Net), which further distills knowledge at the acoustic level from the audio-assistant (Audio-A). Additionally, we propose a new positional encoding scheme for transformers, imposing a continuity inductive bias for images. e. Abstract submission deadline: January 13, 2021 (11:59PM UTC-12) Author information deadline: January 16, 2021 (11:59PM UTC-12) Full paper submission deadline: January 20, 2021 (11:59PM UTC-12) Summary reject notification: February 07, 2021. International Joint Conferences on Artificial Intelligence is a non-profit corporation founded in California, in 1969 for scientific and educational purposes, including dissemination of information on Artificial Intelligence at conferences in which cutting-edge scientific results are presented and through dissemination of See full list on ijcai-21. Secondly, we group the existing researches of ID into two major categories: supervised ID and unsupervised ID. explaining concepts encoded in a DNN and explaining the generalization power of a DNN. in Conjunction with IJCAI 2021 (FTL-IJCAI'21) Submission Due: June 05, 2021 June 20, 2021 (23:59:59 AoE) Notification Due: June 25, 2021 July 20, 2021. We conduct extensive experiments on real-world dataset. In this paper, we propose conditional self-supervised learning (CSS) to use auxiliary information to In this paper, we propose a new measure-based counting approach to regress the predicted density maps to the scattered point-annotated ground truth directly. org 2022. International Joint Conferences on Artificial Intelligence is a non-profit corporation founded in California, in 1969 for scientific and educational purposes, including dissemination of information on Artificial Intelligence at conferences in which cutting-edge scientific results are presented and through dissemination of However, standard meta-learning methods mainly focus on visual tasks, which makes it hard for them to deal with diverse text data directly. 9%, half what it normally is. edu. Instructions on how to join the workshop are now posted on our Schedule page! The past decade has seen a tremendous growth of interest in sports analytics, not only from an economic and commercial perspective, but also from a purely scientific one. South China University of Technology. Workshop Date: Friday, August 20, 2021 (17:00 – 02:00 (+1d), America/Los_Angeles, UTC-7) Online Austine Zong Han Yapp (Nanyang Technological University), Hong Soo Nicholas Koh (Nanyang Technological University), Yan Ting Lai (Nanyang Technological University), Jiawen Kang (Nanyang Technological University), Xuandi Li (Nanyang Technological University), Jer Shyuan Ng (Nanyang Technological University), Hongchao Jiang (Nanyang Technological Temporal point processes (TPP) are probabilistic generative models for continuous-time event sequences. By dropping events selected with various strategies, we are able to increase the diversity of training data (e. Accurate user modeling is critical for news recommendation. Other conferences like NeurIPS & ICML have 20%+ acceptance rates. [1] It was held biennially in odd-numbered years from IJCAI 2021 Schedule. In this paper, we present a proposal-free one-stage (PFOS) model that is able to regress the region-of-interest from the image, based on a textual query, in an end-to-end manner. unsw. Our extensive experimental results on various datasets validate that FEDMD-NFDP can deliver not only comparable utility and communication efficiency but also provide a noise-free differential privacy guarantee. Particularly, to obtain an ideally unbiased gradient estimate, we propose an information-theoretic approach 3 The Proposed Approach. Then, we propose a novel contrastive loss to IJCAI 2021. However, events from the event-based camera are triggered by dynamic changes, which makes PDF BibTeX. 8-10, A Refine list. Specifically, we introduce four graph augmentation techniques to obtain the positive and negative samples, and utilize Welcome to IJCAI | IJCAI In this paper, we propose to replace the state value function with a novel hindsight value function, which leverages the information from the future to reduce the variance of the gradient estimate for stochastic dynamic environments. Bernhard Nebel, Computer Science Department, Albert-Ludwigs-Universitaet Freiburg, Georges-Koehler-Allee, Geb. J. We propose a Unified Message Passing Model (UniMP) for semi-supervised node classification, which incorporates the feature and label propagation jointly by a Graph Transformer and employs a masked label prediction strategy to optimize it. The virtual component operated through the Whova app. AI for Sports Analytics (AISA) A virtual IJCAI-21 workshop held on August 17th, 2021. In this work, we tackle two key challenges: (i) producing natural head motions that match speech prosody, and (ii)} maintaining the appearance of a speaker in a large head motion while stabilizing the non Combining Deep Reinforcement Learning (RL) and Normalizing Flows (NF), we obtain a tractable solution requiring only very weak assumptions. Author response period: March 24-28, 2021 In few-shot scenarios, due to the lack of sufficient samples, these self-supervised methods might learn a biased representation, which more likely leads to the wrong guidance for the main tasks and finally causes the performance degradation. ), Moxian Song (Key Laboratory of Machine Perception (Ministry of We propose an unsupervised learning framework Path InfoMax (PIM) to learn generic path representations that work for different downstream tasks. Xiaofei Zhou. IJCAI 2021 Schedule. Since relational data are often sensitive, we aim to seek effective approaches to generate utility-preserved yet privacy-protected structured data. In this work, we propose a high fidelity face swapping method, called HifiFace, which can well preserve the face shape of the source face and generate photo-realistic results. Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge Apr 29, 2021 · “For no good reason, IJCAI-2021 @IJCAIconf had an acceptance rate of just 13. Text generation has become one of the most important yet challenging tasks in natural language processing (NLP). Conflict of interest policy: All individuals involved in the IJCAI 2023 review process must adhere to the IJCAI conflict of interest policy. However, standard GNNs are limited in their expressive power, as they cannot distinguish graphs beyond the capability of the Weisfeiler-Leman graph isomorphism heuristic. — May 10, 2021: Phase I starts, release the training data and validation data, open submission portal. Santos. Due to this natural advantage, in this work, we study the vignetting from a new viewpoint, i. Welcome to IJCAI. Specifically, we utilize the teacher (T) trained on manual transcriptions to guide the training of the student (S) on ASR transcriptions. Rensselaer Polytechnic Institute. — July 15 (23:59 UTC): Team merger deadline. Luc De Raedt: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. bk zj qv ac mq cb yy jh ze aq