文件名称：ICLR-2019-Oral.zip
文件大小：148.5MB
文件格式：ZIP
更新时间：2022-10-29 09:45:46
ICLR2019 Oral论文
ICLR是Yann LeCun 、Yoshua Bengio 等几位行业*专家于2013年发起，如今已成为深度学习领域一个至关重要的学术盛事，每年一届，每届包括24篇Oral论文以及诺干Poster论文。
【文件预览】：
pay less attention with lightweight and dynamic convolutions.pdf
smoothing the geometry of probabilistic box embeddings.pdf
the neuro-symbolic concept learner interpreting scenes words and sentences from natural supervision.pdf
ordered neurons integrating tree structures into recurrent neural networks.pdf
imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness.pdf
temporal difference variational auto-encoder.pdf
ba-net dense bundle adjustment networks.pdf
learning protein structure with a differentiable simulator.pdf
slalom fast verifiable and private execution of neural networks in trusted hardware.pdf
on random deep weight-tied autoencoders exact asymptotic analysis phase transitions and implications to training.pdf
large scale gan training for high fidelity natural image synthesis.pdf
how powerful are graph neural networks.pdf
generating high fidelity images with subscale pixel networks and multidimensional upscaling.pdf
learning to remember more with less memorization.pdf
meta-learning update rules for unsupervised representation learning.pdf
learning robust representations by projecting superficial statistics out.pdf
learning deep representations by mutual information estimation and maximization.pdf
transferring knowledge across learning processes.pdf
knockoffgan generating knockoffs for feature selection using generative adversarial networks.pdf
deterministic variational inference for robust bayesian neural networks.pdf
the lottery ticket hypothesis finding sparse trainable neural networks.pdf
a unified theory of early visual representations from retina to cortex through anatomically constrained deep cnns.pdf
enabling factorized piano music modeling and generation with the maestro dataset.pdf
ffjord free-form continuous dynamics for scalable reversible generative models.pdf