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会议文集
文集名
AAAI Technical Tracks (Machine Learning I)
会议名
39th AAAI Conference on Artificial Intelligence (AAAI-25), 37th Conference on Innovative Applications of Artificial Intelligence (IAAI-25), 15th Symposium on Educational Advances in Artificial Intelligence (EAAI-25)
中译名
《第三十九届AAAI人工智能会议,第三十七届人工智能创新应用会议,第十五届人工智能教育进展讨论会,卷15-1》
机构
Association for the Advancement of Artificial Intelligence (AAAI)
会议日期
25 February - 4 March 2025
会议地点
Philadelphia, Pennsylvania, USA
出版年
2025
馆藏号
358201
题名
作者
出版年
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
Wenqian Li; Pengfei Fang; Hui Xue
2025
Exponential-Family Harmoniums with Neural Sufficient Statistics
Azwar Abdulsalam; Joseph G. Makin
2025
Little is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
Amr Abourayya; Jens Kleesiek; Kanishka Rao; Erman Ayday; Bharat Rao; Geoffrey I. Webb; Michael Kamp
2025
Bootstrapped Reward Shaping
Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni
2025
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
Rishabh Agrawal; Nathan Dahlin; Rahul Jain; Ashutosh Nayyar
2025
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Susmit Agrawal; Deepika Vemuri; Sri Siddarth Chakaravarthy P; Vineeth N. Balasubramanian
2025
Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra; Bishwamittra Ghosh; Debabrota Basu
2025
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
Antonios Alexos; Ian Domingo; Pierre Baldi
2025
Even-if Explanations: Formal Foundations, Priorities and Complexity
Gianvincenzo Alfano; Sergio Greco; Domenico Mandaglio; Francesco Parisi; Reza Shahbazian; Irina Trubitsyna
2025
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
Seunghwan An; Gyeongdong Woo; Jaesung Lim; ChangHyun Kim; Sungchul Hong; Jong-June Jeon
2025
Unleashing the Potential of Model Bias for Generalized Category Discovery
Wenbin An; Haonan Lin; Jiahao Nie; Feng Tian; Wenkai Shi; Yaqiang Wu; Qianying Wang; Ping Chen
2025
Approximating Metric Magnitude of Point Sets
Rayna Andreeva; James Ward; Primoz Skraba; Jie Gao; Rik Sarkar
2025
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Sebastien Andreina; Pascal Zimmer; Ghassan Karame
2025
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data
Bailey Andrew; David R Westhead; Luisa Cutillo
2025
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
Gautham Govind Anil; Pascal Esser; Debarghya Ghoshdastidar
2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat; Debabrota Basu; Yulia Gel; Yuzhou Chen
2025
Neural Combinatorial Clustered Bandits for Recommendation Systems
Baran Atalar; Carlee Joe-Wong
2025
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady
2025
List Update with Prediction
Yossi Azar; Shahar Lewkowicz; Varun Suriyanarayana
2025
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
Seungheun Baek; Soyon Park; Yan Ting Chok; Junhyun Lee; Jueon Park; Mogan Gim; Jaewoo Kang
2025
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