18/07/2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji
Keywords Paper
Probabilistic Methods, Graphical Models
0
0
0
0
5:16
18/07/2021
Deep Continuous Networks
Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert
Keywords Paper
Applications, Neuroscience and Cognitive Science
0
0
0
0
5:19
18/07/2021
E(n) Equivariant Graph Neural Networks
Víctor Garcia Satorras, Emiel Hoogeboom, Max Welling
Keywords Paper
Deep Learning
0
0
0
0
4:41
18/07/2021
TempoRL: Learning When to Act
André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
Keywords Paper
Optimization, Non-Convex Optimization, Reinforcement Learning and Planning, Neuroscience and Cognitive Science, Reasoning; Optimization, Combinatorial Optimization; Reinforcement Learning and Plannin
0
0
0
0
5:24
18/07/2021
Density Constrained Reinforcement Learning
Zengyi Qin, Yuxiao Chen, Chuchu Fan
Keywords Paper
Reinforcement Learning and Planning
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0
0
0
4:50
18/07/2021
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
Mengyue Hang, Jennifer Neville, Bruno Ribeiro
Keywords Paper
Deep Learning, Efficient Inference Methods, Applications, Computer Vision; Deep Learning, CNN Architectures, Deep Learning, Embedding and Representation learning
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0
0
0
5:13
18/07/2021
How could Neural Networks understand Programs?
Dinglan Peng, Shuxin Zheng, Yatao Li and
Keywords Paper
Applications, Hardware and Systems
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0
0
0
5:18
18/07/2021
Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu, Hang Wang, Bingbing Ni and
Keywords Paper
Neuroscience and Cognitive Science, Neuroscience and Cognitive Science, Cognitive Science; Neuroscience and Cognitive Science, Human or Animal Learning, Deep Learning, Embedding and Representation learning
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0
0
0
3:57
18/07/2021
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Tomoki Watanabe, Paolo Favaro
Keywords Paper
Deep Learning, Generative Models, Applications, Matrix and Tensor Factorization, Algorithms, Collaborative Filtering; Algorithms, Large Scale Learning; Applications, Denoising
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0
0
0
5:12
18/07/2021
PixelTransformer: Sample Conditioned Signal Generation
Shubham Tulsiani, Abhinav Gupta
Keywords Paper
Deep Learning, Generative Models
0
0
0
0
5:03
18/07/2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Eric Wong, Shibani Santurkar, Aleksander Madry
Keywords Paper
Deep Learning
0
0
0
0
17:01
