Papers
Learning Expected Emphatic Traces for Deep RL
Ray Jiang, Shangtong Zhang, Veronica Chelu et al.
Learning from Label Proportions with Prototypical Contrastive Clustering
Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira
Learning from Mistakes – a Framework for Neural Architecture Search
Bhanu Garg, Li Zhang, Pradyumna Sridhara et al.
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
Wei Duan, Junyu Xuan, Maoying Qiao et al.
Learning from the Tangram to Solve Mini Visual Tasks
Yizhou Zhao, Liang Qiu, Pan Lu et al.
Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation
Binjie Mao, Xinbang Zhang, Lingfeng Wang et al.
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts
Kunpeng Li, Zizhao Zhang, Guanhang Wu et al.
Learning Human Driving Behaviors with Sequential Causal Imitation Learning
Kangrui Ruan, Xuan Di
Learning Influence Adoption in Heterogeneous Networks
Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics
Pierre Gillot, Pekka Parviainen
Learning Losses for Strategic Classification
Tosca Lechner, Ruth Urner
Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving
Inhan Kim, Joonyeong Lee, Daijin Kim
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract)
Arjun Ashok, Chaitanya Devaguptapu, Vineeth N Balasubramanian
Learning Network Architecture for Open-Set Recognition
Xuelin Zhang, Xuelian Cheng, Donghao Zhang et al.
Learning Not to Learn: Nature versus Nurture In Silico
Robert Tjarko Lange, Henning Sprekeler
Learning Optical Flow with Adaptive Graph Reasoning
Ao Luo, Fan Yang, Kunming Luo et al.
Learning Parameterized Task Structure for Generalization to Unseen Entities
Anthony Liu, Sungryull Sohn, Mahdi Qazwini et al.
Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds
Brendan Juba, Roni Stern
Learning Quality-Aware Representation for Multi-Person Pose Regression
Yabo Xiao, Dongdong Yu, Xiao Juan Wang et al.
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
Yufei Kuang, Miao Lu, Jie Wang et al.
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance
Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez et al.
Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow
Kaihong Wang, Kumar Akash, Teruhisa Misu
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Vinayak Gupta, Srikanta Bedathur, Abir De
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing
Chenchen Jing, Yunde Jia, Yuwei Wu et al.