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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 11828 items.
Generalization Analysis for Deep Contrastive Representation Learning
Nong Minh Hieu, Antoine Ledent, Yunwen Lei, Cheng Yeaw Ku
17186-17194
2025-04-11
Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization
Arun Reddy Nelakurthi, Jingrui He
2017-02-12
SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
Zheng Jiang, Wei Wang, Gaowei Zhang, Yi Wang
38661-38669
2026-03-14
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning
Jinsong Shi, Pan Gao, Jie Qin
4829-4837
2024-03-24
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack
Wenxiang Jiang, Hanwei Zhang, Xi Wang, Zhongwen Guo, Hao Wang
21197-21205
2024-03-24
Collective Deep Quantization for Efficient Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
2017-02-12
Policy Reuse in Deep Reinforcement Learning
Ruben Glatt, Anna Costa
2017-02-12
Complex Emotional Intelligence Learning Using Deep Neural Networks (Student Abstract)
Belainine Billal, Fatiha Sadat, Hakim Lounis
13755-13756
2020-04-03
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang
11691-11698
2021-05-18
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
7081-7089
2021-05-18
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks
Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee
2501-2508
2020-04-03
Sensitivity Analysis of Deep Neural Networks
Hai Shu, Hongtu Zhu
4943-4950
2019-07-17
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
17228-17236
2024-03-24
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang
1908-1916
2022-06-28
The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization
Shujian Yu
15462-15462
2024-07-15
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi
22700-22700
2024-03-24
Reducing Flipping Errors in Deep Neural Networks
Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang
6506-6514
2022-06-28
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu
4739-4746
2020-04-03
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese
21387-21394
2024-03-24
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
Lorenz Kummer, Samir Moustafa, Wilfried Gansterer, Nils Morten Kriege
17990-17998
2025-04-11
Action Branching Architectures for Deep Reinforcement Learning
Arash Tavakoli, Fabio Pardo, Petar Kormushev
2018-04-29
Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract)
Julien Guité-Vinet, Alexandre Blondin Massé, Fatiha Sadat
23508-23509
2024-03-24
Structured Inference Networks for Nonlinear State Space Models
Rahul Krishnan, Uri Shalit, David Sontag
2017-02-13
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
Saihui Hou, Zilei Wang
8425-8432
2019-07-17
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence
Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh
4772-4779
2019-07-17
1626 - 1650 of 11828 items
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