Papers
734 papers found
An Aligned Subgraph Kernel Based on Discrete-Time Quantum Walk
Kai Liu, Lulu Wang, Yi Zhang
An online semi-definite programming with a generalised log-determinant regularizer and its applications
Yaxiong Liu, Ken-ichiro Moridomi, Kohei Hatano et al.
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
Jun-Kun Wang, Xiaoyun Li, Belhal Karimi et al.
A Partial Label Metric Learning Algorithm for Class Imbalanced Data
Wenpeng Liu, Li Wang, Jie Chen et al.
ASD-Conv: Monocular 3D object detection network based on Asymmetrical Segmentation Depth-aware Convolution
Yu Xingyuan, Du Neng, Gao Ge et al.
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types
Benjamin Christoffersen, Mark Clements, Keith Humphreys et al.
A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions
Haoran Yang, Wanjing Zhang, Wai Lam
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space
Beomsoo Kim, Jang-Ho Choi, Jaegul Choo
Bayesian Inference for Optimal Transport with Stochastic Cost
Anton Mallasto, Markus Heinonen, Samuel Kaski
Bayesian Latent Factor Model for Higher-order Data
Zerui Tao, Xuyang Zhao, Toshihisa Tanaka et al.
Bayesian neural network unit priors and generalized Weibull-tail property
Mariia Vladimirova, Julyan Arbel, Stéphane Girard
Bayesian nonparametric model for arbitrary cubic partitioning
Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura et al.
Beyond $L_p$ Clipping: Equalization based Psychoacoustic Attacks against ASRs
Hadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters et al.
Bias-tolerant Fair Classification
Yixuan Zhang, Feng Zhou, Zhidong Li et al.
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
Chi Zhang, Sanmukh Kuppannagari, Prasanna Viktor
Bridging Code-Text Representation Gap using Explanation
Hojae Han, Youngwon Lee, Minsoo Kim et al.
Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning
Guixuan Wen, Kaigui Wu
calibrated adversarial training
Tianjin Huang, Vlado Menkovski, Yulong Pei et al.
Cautious Actor-Critic
Lingwei Zhu, Toshinori Kitamura, Matsubara Takamitsu
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Contrastive Neural Processes for Self-Supervised Learning
Konstantinos Kallidromitis, Denis Gudovskiy, Kozuka Kazuki et al.
ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning
Zhao Chenran, Shi Dianxi, Zhang Yaowen et al.
Convolutional Hypercomplex Embeddings for Link Prediction
Caglar Demir, Diego Moussallem, Stefan Heindorf et al.
Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates
Chien Lu, Jaakko Peltonen, Timo Nummenmaa et al.
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao, Aditya Kunar, Robert Birke et al.