Papers
Learning Adversarially Robust Sparse Networks via Weight Reparameterization
Chenhao Li, Qiang Qiu, Zhibin Zhang et al.
Learning Affects Trust: Design Recommendations and Concepts for Teaching Children—and Nearly Anyone—about Conversational Agents
Jessica Van Brummelen, Mingyan Claire Tian, Maura Kelleher et al.
Learning a Generalized Gaze Estimator from Gaze-Consistent Feature
Mingjie Xu, Haofei Wang, Feng Lu
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints
Jianyi Yang, Shaolei Ren
Learning-Augmented Algorithms for Online TSP on the Line
Themistoklis Gouleakis, Konstantinos Lakis, Golnoosh Shahkarami
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning
Jiayu Liu, Zhenya Huang, ChengXiang Zhai et al.
Learning Chemical Rules of Retrosynthesis with Pre-training
Yinjie Jiang, Ying WEI, Fei Wu et al.
Learning Compact Features via In-Training Representation Alignment
Xin Li, Xiangrui Li, Deng Pan et al.
Learning Compositional Tasks from Language Instructions
Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee
Learning Conflict-Noticed Architecture for Multi-Task Learning
Zhixiong Yue, Yu Zhang, Jie Liang
Learning Context-Aware Classifier for Semantic Segmentation
Zhuotao Tian, Jiequan Cui, Li Jiang et al.
Learning Continuous Depth Representation via Geometric Spatial Aggregator
Xiaohang Wang, Xuanhong Chen, Bingbing Ni et al.
Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees
Đorđe Žikelić, Mathias Lechner, Thomas A. Henzinger et al.
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan et al.
Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition
Bingjun Luo, Junjie Zhu, Tianyu Yang et al.
Learning Dynamic Latent Spaces for Lifelong Generative Modelling
Fei Ye, Adrian G. Bors
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract)
Zhiyuan Wang, Fan Zhou, Goce Trajcevski et al.
Learning Event-Relevant Factors for Video Anomaly Detection
Che Sun, Chenrui Shi, Yunde Jia et al.
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
Wubing Chen, Wenbin Li, Xiao Liu et al.
Learning Fractals by Gradient Descent
Cheng-Hao Tu, Hong-You Chen, David Carlyn et al.
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
Qi Tian, Kun Kuang, Furui Liu et al.
Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search
Yuhang Ye, Zhonghua Li, Zhicheng Dou et al.
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features
Qingrui Jia, Xuhong Li, Lei Yu et al.