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会议文集
文集名
AAAI Special Track (Safe, Robust and Responsible AI Track)
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19-1》
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
354022
题名
作者
出版年
ImageCaptioner~2: Image Captioner for Image Captioning Bias Amplification Assessment
Eslam Abdelrahman; Pengzhan Sun; Li Erran Li; Mohamed Elhoseiny
2024
A Framework for Data-Driven Explainability in Mathematical Optimization
Kevin-Martin Aigner; Marc Goerigk; Michael Hartisch; Frauke Liers; Arthur Miehlich
2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
Kasun Amarasinghe; Kit T. Rodolfa; Sergio Jesus; Valerie Chen; Vladimir Balayan; Pedro Saleiro; Pedro Bizarro; Ameet Talwalkar; Rayid Ghani
2024
Risk-Aware Continuous Control with Neural Contextual Bandits
Jose A. Ayala-Romero; Andres Garcia-Saavedra; Xavier Costa-Perez
2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
Daniel Bethell; Simos Gerasimou; Radu Calinescu
2024
CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving
Chengtai Cao; Xinhong Chen; Jianping Wang; Qun Song; Rui Tan; Yung-Hui Li
2024
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study
Haotian Chen; Lingwei Zhang; Yiran Liu; Yang Yu
2024
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
Zhongzhi Chen; Xingwu Sun; Xianfeng Jiao; Fengzong Lian; Zhanhui Kang; Di Wang; Cheng-Zhong Xu
2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming
Minjae Cho; Chuangchuang Sun
2024
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming
Matthew Cleaveland; Insup Lee; George J. Pappas; Lars Lindemann
2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples
Seffi Cohen; Ofir Arbili; Yisroel Mirsky; Lior Rokach
2024
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
Carl De Sousa Trias; Mihai Petru Mitrea; Attilio Fiandrotti; Marco Cagnazzo; Sumanta Chaudhuri; Enzo Tartaglione
2024
Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions
Virginie Debauche; Alec Edwards; Raphael M. Jungers; Alessandro Abate
2024
Robustness Verification of Multi-Class Tree Ensembles
Laurens Devos; Lorenzo Cascioli; Jesse Davis
2024
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL
Sumanta Dey; Pallab Dasgupta; Soumyajit Dey
2024
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability
Mischa Dombrowski; Hadrien Reynaud; Johanna P. Muller; Matthew Baugh; Bernhard Kainz
2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
Maximilian Dreyer; Frederik Pahde; Christopher J. Anders; Wojciech Samek; Sebastian Lapuschkin
2024
Automatically Testing Functional Properties of Code Translation Models
Hasan Ferit Eniser; Valentin Wustholz; Maria Christakis
2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
Sofiane Ennadir; Yassine Abbahaddou; Johannes F. Lutzeyer; Michalis Vazirgiannis; Henrik Bostrom
2024
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain
Linkun Fan; Fazhi He; Tongzhen Si; Wei Tang; Bing Li
2024
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