Papers
734 papers found
Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox
Baihan Lin, Xinxin Zhang
Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition
Guangge Wang, Haihui Ye, Xiao Wang et al.
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization
Aaron Defazio, Robert M. Gower
Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning
Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams
Ocean Wu, Yun Sing Koh, Gillian Dobbie et al.
Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron
Jun-Kun Wang, Jacob Abernethy
Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPI
Weida Xie, Shi Chen, Qingjia Bao et al.
Uplift Modeling with High Class Imbalance
Otto Nyberg, Tomasz Kuśmierczyk, Arto Klami
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds
Reza Godaz, Benyamin Ghojogh, Reshad Hosseini et al.
Video Action Recognition with Neural Architecture Search
Yuanding Zhou, Baopu Li, Zhihui Wang et al.
AARM: Action Attention Recalibration Module for Action Recognition
Li Zhonghong, Yi Yang, She Ying et al.
A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection
Haofei Chen, Ya Liu, Japnit Kaur Ahuja et al.
A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network
Liu Qidong, Tian Feng, Ji Weihua et al.
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
Clemens Damke, Vitalik Melnikov, Eyke Hüllermeier
A One-step Approach to Covariate Shift Adaptation
Tianyi Zhang, Ikko Yamane, Nan Lu et al.
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
Reza Refaei Afshar, Yingqian Zhang, Murat Firat et al.
Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation
Yuan Liang, Weinan Song, Jiawei Yang et al.
Bidirectional Dependency-Guided Attention for Relation Extraction
Xingchen Deng, Lei Zhang, Yixing Fan et al.
Boosting-Based Reliable Model Reuse
Yao-Xiang Ding, Zhi-Hua Zhou
Bridging Ordinary-Label Learning and Complementary-Label Learning
Yasuhiro Katsura, Masato Uchida
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow
Jia He, Feiyang Pan, Fuzhen Zhuang et al.
Collaborative Exploration in Stochastic Multi-Player Bandits
Hiba Dakdouk, Raphaël Féraud, Nadège Varsier et al.
Constrained Reinforcement Learning via Policy Splitting
Haoxian Chen, Henry Lam, Fengpei Li et al.
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization
Anas Barakat, Pascal Bianchi