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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 25136 items.
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning
Tairan He, Weiye Zhao, Changliu Liu
14847-14855
2023-06-26
Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions
Achim Hekler, Titus J. Brinker, Florian Buettner
14856-14864
2023-06-26
Robust Training of Neural Networks against Bias Field Perturbations
Patrick Henriksen, Alessio Lomuscio
14865-14873
2023-06-26
Redactor: A Data-Centric and Individualized Defense against Inference Attacks
Geon Heo, Steven Euijong Whang
14874-14882
2023-06-26
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Pengyue Hou, Jie Han, Xingyu Li
14883-14891
2023-06-26
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Akshita Jha, Chandan K. Reddy
14892-14900
2023-06-26
Formalising the Robustness of Counterfactual Explanations for Neural Networks
Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni
14901-14909
2023-06-26
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection
Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang
14910-14918
2023-06-26
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H.S. Torr, Puneet K. Dokania
14919-14926
2023-06-26
Heuristic Search in Dual Space for Constrained Fixed-Horizon POMDPs with Durative Actions
Majid Khonji, Duoaa Khalifa
14927-14936
2023-06-26
Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification
Jianglin Lan, Yang Zheng, Alessio Lomuscio
14937-14945
2023-06-26
A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification
Jianglin Lan, Benedikt Brückner, Alessio Lomuscio
14946-14954
2023-06-26
Robust Image Steganography: Hiding Messages in Frequency Coefficients
Yuhang Lan, Fei Shang, Jianhua Yang, Xiangui Kang, Enping Li
14955-14963
2023-06-26
Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee, Thomas A. Henzinger, Daniela Rus
14964-14973
2023-06-26
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo
14974-14981
2023-06-26
WAT: Improve the Worst-Class Robustness in Adversarial Training
Boqi Li, Weiwei Liu
14982-14990
2023-06-26
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models
Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu
14991-14999
2023-06-26
Rethinking Label Refurbishment: Model Robustness under Label Noise
Yangdi Lu, Zhiwei Xu, Wenbo He
15000-15008
2023-06-26
A Holistic Approach to Undesired Content Detection in the Real World
Todor Markov, Chong Zhang, Sandhini Agarwal, Florentine Eloundou Nekoul, Theodore Lee, Steven Adler, Angela Jiang, Lilian Weng
15009-15018
2023-06-26
A Risk-Sensitive Approach to Policy Optimization
Jared Markowitz, Ryan W. Gardner, Ashley Llorens, Raman Arora, I-Jeng Wang
15019-15027
2023-06-26
Anonymization for Skeleton Action Recognition
Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim
15028-15036
2023-06-26
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap
Carlos Mougan, Dan Saattrup Nielsen
15037-15045
2023-06-26
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
15046-15054
2023-06-26
Constrained Reinforcement Learning in Hard Exploration Problems
Pathmanathan Pankayaraj, Pradeep Varakantham
15055-15063
2023-06-26
Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis
Giulio Rossolini, Federico Nesti, Fabio Brau, Alessandro Biondi, Giorgio Buttazzo
15064-15072
2023-06-26
10301 - 10325 of 25136 items
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