Papers
734 papers found
Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick
Keegan Kang, Sergey Kushnarev, Wei Pin Wong et al.
Iterative Deep Model Compression and Acceleration in the Frequency Domain
Yao Zeng, Xusheng Liu, Lintan Sun et al.
Language Representations for Generalization in Reinforcement Learning
Nikolaj Goodger, Peter Vamplew, Cameron Foale et al.
Layer-Wise Neural Network Compression via Layer Fusion
James O’Neill, Greg V. Steeg, Aram Galstyan
Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning
Jingyan Sui, Shizhe Ding, Ruizhi Liu et al.
Learning Maximum Margin Markov Networks from examples with missing labels
Vojtech Franc, Andrii Yermakov
Learning to Switch Optimizers for Quadratic Programming
Grant Getzelman, Prasanna Balaprakash
Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data
Yutao Chen, Yu Zhang, Fei Yang
Lifelong Learning with Branching Experts
Yi-Shan Wu, Yi-Te Hong, Chi-Jen Lu
Lifelong Learning with Sketched Structural Regularization
Haoran Li, Aditya Krishnan, Jingfeng Wu et al.
Local Aggressive Adversarial Attacks on 3D Point Cloud
Yiming Sun, Feng Chen, Zhiyu Chen et al.
Maximization of Monotone $k$-Submodular Functions with Bounded Curvature and Non-$k$-Submodular Functions
Tatsuya Matsuoka, Naoto Ohsaka
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
Shameem Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith et al.
Meta-Model-Based Meta-Policy Optimization
Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt et al.
Metric Learning for comparison of HMMs using Graph Neural Networks
Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran
Modeling Risky Choices in Unknown Environments
Ville Tanskanen, Chang Rajani, Homayun Afrabandpey et al.
Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition
Guang Lin, Li Zhu, Bin Ren et al.
Multi-factor Memory Attentive Model for Knowledge Tracing
Congjie Liu, Xiaoguang Li
Multi-scale Salient Instance Segmentation based on Encoder-Decoder
Houru Chen, Caijuan Shi, Wei Li et al.
Multi-stream based marked point process
Sujun Hong, Hirotaka Hachiya
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic
Gengzhi Zhang, Liang Feng, Yaqing Hou
Multi-view Latent Subspace Clustering based on both Global and Local Structure
Zhou Honghan, Cai Weiling, Xu Le et al.
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters
Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa
Neural Graph Filtering for Context-aware Recommendation
Zhang Chuanyan, Hong Xiaoguang
On the Convex Combination of Determinantal Point Processes
Tatsuya Matsuoka, Naoto Ohsaka, Akihiro Yabe