会议文集


文集名AAAI Technical Tracks (Machine Learning II)
会议名38th AAAI Conference on Artificial Intelligence (AAAI-24), 36th Conference on Innovative Applications of Artificial Intelligence (IAAI-24), 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24)
中译名《第三十八届AAAI人工智能会议，第三十六届人工智能创新应用会议，第十四届人工智能教育进展讨论会，卷11-1》
机构Association for the Advancement of Artificial Intelligence (AAAI)
会议日期20-27 February 2024
会议地点Vancouver, Canada
出版年2024
馆藏号354006


题名作者出版年
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General DistributionsKarthik Elamvazhuthi; Xuechen Zhang; Matthew Jacobs; Samet Oymak; Fabio Pasqualetti2024
Feature Transportation Improves Graph Neural NetworksMoshe Eliasof; Eldad Haber; Eran Treister2024
Exact Inference for Continuous-Time Gaussian Process DynamicsKatharina Ensinger; Nicholas Tagliapietra; Sebastian Ziesche; Sebastian Trimpe2024
Learning Hybrid Dynamics Models with Simulator-Informed Latent StatesKatharina Ensinger; Sebastian Ziesche; Sebastian Trimpe2024
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNsDeividas Eringis; John Leth; Zheng-Hua Tan; Rafal Wisniewski; Mihaly Petreczky2024
Non-parametric Representation Learning with KernelsPascal Esser; Maximilian Fleissner; Debarghya Ghoshdastidar2024
Neural Gaussian Similarity Modeling for Differential Graph Structure LearningXiaolong Fan; Maoguo Gong; Yue Wu; Zedong Tang; Jieyi Liu2024
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual LearningYan Fan; Yu Wang; Pengfei Zhu; Qinghua Hu2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane DetectionYunqian Fan; Xiuying Wei; Ruihao Gong; Yuqing Ma; Xiangguo Zhang; Qi Zhang; Xianglong Liu2024
Backdoor Adjustment via Group Adaptation for Debiased Coupon RecommendationsJunpeng Fang; Gongduo Zhang; Qing Cui; Caizhi Tang; Lihong Gu; Longfei Li; Jinjie Gu; Jun Zhou2024
Improving GNN Calibration with Discriminative Ability: Insights and StrategiesYujie Fang; Xin Li; Qianyu Chen; Mingzhong Wang2024
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement LearningJiaheng Feng; Mingxiao Feng; Haolin Song; Wengang Zhou; Houqiang Li2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive LearningQianhan Feng; Lujing Xie; Shijie Fang; Tong Lin2024
Latent Diffusion Transformer for Probabilistic Time Series ForecastingShibo Feng; Chunyan Miao; Zhong Zhang; Peilin Zhao2024
Partial Multi-View Clustering via Self-Supervised NetworkWei Feng; Guoshuai Sheng; Qianqian Wang; Quanxue Gao; Zhiqiang Tao; Bo Dong2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent ModelsJan Finkbeiner; Thomas Gmeinder; Mark Pupilli; Alexander Titterton; Emre Neftci2024
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNsStefano Fiorini; Stefano Coniglio; Michele Ciavotta; Enza Messina2024
Learning Broadcast ProtocolsDana Fisman; Noa Izsak; Swen Jacobs2024
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning AlgorithmsManon Flageat; Bryan Lim; Antoine Cully2024
Symbolic Regression Enhanced Decision Trees for Classification TasksKei Sen Fong; Mehul Motani2024
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