Papers
734 papers found
A Corrected Expected Improvement Acquisition Function Under Noisy Observations
Han Zhou, Xingchen Ma, Matthew B Blaschko
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
Giang Ngo, Dang Nguyen, Dat Phan-Trong et al.
Ada$^2$NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning
Lei Ju, Zhanhua Feng, Muhammad Awais et al.
Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting
Chunlin Ji, Yuhao Fu, Ping He
Advancing Deep Metric Learning With Adversarial Robustness
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers
Kengo Matsumoto, Tomoya Matsuda, Atsuki Inoue et al.
A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for Classification
Zikang Yu, Hongbin Dong, Tianyu Guo et al.
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models
Dai Shi, Zhiqi Shao, Andi Han et al.
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis
Dongming Wu, Lulu Wen, Chao Chen et al.
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification
Qingya Wang, Feng Liu, Bin Luo
A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran, Dan Ogawa Lillrank
ASAP: Attention-Based State Space Abstraction for Policy Summarization
Yanzhe Bekkemoen, Helge Langseth
A Simple and General Binarization Method for Image Restoration Neural Networks
Mengxue Wang, Yue Zhang, Xiaodong Zhang et al.
Attributed Graph Subspace Clustering with Graph-Boosting
Wang Li, En Zhu, Siwei Wang et al.
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings
Gregory Scafarto, Madalina Ciortan, Simon Tihon et al.
Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy
Limin Zheng, Hongyu Chen, Lu Qing et al.
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
Omer Veysel Cagatan, Baris Akgun
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information
Ruiqi Ding, Tao Li, Xiaolin Huang
Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning?
Guoqiang Wu, Jun Zhu
Cell Variational Information Bottleneck Network
Zhonghua Zhai
Cross-Domain Relation Adaptation
Ido Kessler, Omri Lifshitz, Sagie Benaim et al.
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection
Pengwei Tang, Huayi Tang, Wenhan Wang et al.
Deep Kernel Regression with Finite Learnable Kernels
Chunlin Ji, Yuhao Fu
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking
Luca Begnardi, Hendrik Baier, Willem van Jaarsveld et al.
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain
Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha et al.