文件名称：ICLR-2019-Poster (9).zip
文件大小：106.84MB
文件格式：ZIP
更新时间：2022-10-29 10:08:08
ICLR2019 POSTER9
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】：
visual reasoning by progressive module networks.pdf
variational autoencoders with jointly optimized latent dependency structure.pdf
variance networks when expectation does not meet your expectations.pdf
unsupervised control through non-parametric discriminative rewards.pdf
visceral machines risk-aversion in reinforcement learning with intrinsic physiological rewards.pdf
unsupervised adversarial image reconstruction.pdf
visual semantic navigation using scene priors.pdf
whitening and coloring batch transform for gans.pdf
unsupervised learning via meta-learning.pdf
universal transformers.pdf
unsupervised learning of the set of local maxima.pdf
universal successor features approximators.pdf
unsupervised domain adaptation for distance metric learning.pdf
variational discriminator bottleneck improving imitation learning inverse rl and gans by constraining information flow.pdf
unsupervised discovery of parts structure and dynamics.pdf
von mises-fisher loss for training sequence to sequence models with continuous outputs.pdf
value propagation networks.pdf
understanding straight-through estimator in training activation quantized neural nets.pdf
unsupervised speech recognition via segmental empirical output distribution matching.pdf
wasserstein barycenter model ensembling.pdf
visual explanation by interpretation improving visual feedback capabilities of deep neural networks.pdf
variational smoothing in recurrent neural network language models.pdf
variational autoencoder with arbitrary conditioning.pdf
universal stagewise learning for non-convex problems with convergence on averaged solutions.pdf
woulda coulda shoulda counterfactually-guided policy search.pdf
variational bayesian phylogenetic inference.pdf
wizard of wikipedia knowledge-powered conversational agents.pdf
verification of non-linear specifications for neural networks.pdf
variance reduction for reinforcement learning in input-driven environments.pdf
what do you learn from context probing for sentence structure in contextualized word representations.pdf
unsupervised hyper-alignment for multilingual word embeddings.pdf