文件名称：ICLR-2019-Poster (4).zip
文件大小：202.6MB
文件格式：ZIP
更新时间：2022-10-29 09:53:47
ICLR2019 POSTER4
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】：
lagging inference networks and posterior collapse in variational autoencoders.pdf
harmonizing maximum likelihood with gans for multimodal conditional generation.pdf
how to train your maml.pdf
hierarchical interpretations for neural network predictions.pdf
identifying and controlling important neurons in neural machine translation.pdf
kernel rnn learning (kernl).pdf
improving sequence-to-sequence learning via optimal transport.pdf
label super-resolution networks.pdf
improving generalization and stability of generative adversarial networks.pdf
l2-nonexpansive neural networks.pdf
k for the price of 1 parameter-efficient multi-task and transfer learning.pdf
improving differentiable neural computers through memory masking de-allocation and link distribution sharpness control.pdf
knockoffgan generating knockoffs for feature selection using generative adversarial networks.pdf
hindsight policy gradients.pdf
infobot transfer and exploration via the information bottleneck.pdf
janossy pooling learning deep permutation-invariant functions for variable-size inputs.pdf
hyperbolic attention networks.pdf
h-detach modifying the lstm gradient towards better optimization.pdf
invariant and equivariant graph networks.pdf
hierarchical rl using an ensemble of proprioceptive periodic policies.pdf
human-level protein localization with convolutional neural networks.pdf
imposing category trees onto word-embeddings using a geometric construction.pdf
invase instance-wise variable selection using neural networks.pdf
integer networks for data compression with latent-variable models.pdf
how important is a neuron.pdf
how powerful are graph neural networks.pdf
information theoretic lower bounds on negative log likelihood.pdf
improving the generalization of adversarial training with domain adaptation.pdf
information-directed exploration for deep reinforcement learning.pdf
lanczosnet multi-scale deep graph convolutional networks.pdf
hierarchical visuomotor control of humanoids.pdf
hierarchical generative modeling for controllable speech synthesis.pdf
kernel change-point detection with auxiliary deep generative models.pdf
imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness.pdf
interpolation-prediction networks for irregularly sampled time series.pdf
initialized equilibrium propagation for backprop-free training.pdf
improving mmd-gan training with repulsive loss function.pdf
information asymmetry in kl-regularized rl.pdf
hierarchical reinforcement learning via advantage-weighted information maximization.pdf
knowledge flow improve upon your teachers.pdf
instagan instance-aware image-to-image translation.pdf