Papers
11,951 papers found
Gradient descent aligns the layers of deep linear networks
Ziwei Ji, Matus Telgarsky
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
Simon S. Du, Xiyu Zhai, Barnabas Poczos et al.
Graph HyperNetworks for Neural Architecture Search
Chris Zhang, Mengye Ren, Raquel Urtasun
Graph Wavelet Neural Network
Bingbing Xu, Huawei Shen, Qi Cao et al.
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Qi Meng, Shuxin Zheng, Huishuai Zhang et al.
Guiding Policies with Language via Meta-Learning
John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev et al.
Harmonic Unpaired Image-to-image Translation
Rui Zhang, Tomas Pfister, Jia Li
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
Soochan Lee, Junsoo Ha, Gunhee Kim
h-detach: Modifying the LSTM Gradient Towards Better Optimization
Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg et al.
Hierarchical Generative Modeling for Controllable Speech Synthesis
Wei-Ning Hsu, Yu Zhang, Ron J. Weiss et al.
Hierarchical interpretations for neural network predictions
Chandan Singh, W. James Murdoch, Bin Yu
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
Kenneth Marino, Abhinav Gupta, Rob Fergus et al.
Hierarchical Visuomotor Control of Humanoids
Josh Merel, Arun Ahuja, Vu Pham et al.
Hindsight policy gradients
Paulo Rauber, Avinash Ummadisingu, Filipe Mutz et al.
How Important is a Neuron
Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan
How Powerful are Graph Neural Networks?
Keyulu Xu*, Weihua Hu*, Jure Leskovec et al.
How to train your MAML
Antreas Antoniou, Harrison Edwards, Amos Storkey
Human-level Protein Localization with Convolutional Neural Networks
Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl et al.
Hyperbolic Attention Networks
Caglar Gulcehre, Misha Denil, Mateusz Malinowski et al.
Identifying and Controlling Important Neurons in Neural Machine Translation
Anthony Bau, Yonatan Belinkov, Hassan Sajjad et al.
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos, Patricia Rubisch, Claudio Michaelis et al.
Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction
Tiansi Dong, Chrisitan Bauckhage, Hailong Jin et al.
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
Robert Csordas, Juergen Schmidhuber