Papers
11,951 papers found
Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective
Huang Xu, Zhiwen Yu, Bin Guo et al.
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen, Tengfei Ma, Cao Xiao
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker, Christopher Kanan
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott Reed, Yutian Chen, Thomas Paine et al.
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras, Joan Bruna Estrach
Fidelity-Weighted Learning
Mostafa Dehghani, Arash Mehrjou, Stephan Gouws et al.
Fine-grained Image Classification by Visual-Semantic Embedding
Huapeng Xu, Guilin Qi, Jingjing Li et al.
Fix your classifier: the marginal value of training the last weight layer
Elad Hoffer, Itay Hubara, Daniel Soudry
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen, Paul Vicol, Jimmy Ba et al.
Fraternal Dropout
Konrad Zolna, Devansh Arpit, Dendi Suhubdy et al.
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen et al.
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
Jinsung Yoon, James Jordon, Mihaela van der Schaar
Gaussian Process Behaviour in Wide Deep Neural Networks
Alexander G. de G. Matthews, Jiri Hron, Mark Rowland et al.
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar*, Vihari Piratla*, Soumen Chakrabarti et al.
Generalizing Hamiltonian Monte Carlo with Neural Networks
Daniel Levy, Matt D. Hoffman, Jascha Sohl-Dickstein
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua, Sameer Singh
Generating Wikipedia by Summarizing Long Sequences
Peter J. Liu*, Mohammad Saleh*, Etienne Pot et al.
Generative Models of Visually Grounded Imagination
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang et al.
Generative networks as inverse problems with Scattering transforms
Tomás Angles, Stéphane Mallat
Global Optimality Conditions for Deep Neural Networks
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer et al.
Gradient Estimators for Implicit Models
Yingzhen Li, Richard E. Turner
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova et al.
Guide Actor-Critic for Continuous Control
Voot Tangkaratt, Abbas Abdolmaleki, Masashi Sugiyama
HexaConv
Emiel Hoogeboom, Jorn W.T. Peters, Taco S. Cohen et al.