ICLR 2019 Poster.zip

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ICLR是Yann LeCun 、Yoshua Bengio 等几位行业顶级专家于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。

文件列表

ICLR-2019-Poster.zip (预估有个75文件)

a rotation-equivariant convolutional neural network model of primary visual cortex.pdf 483KB

analysis of quantized models.pdf 1.92MB

a closer look at few-shot classification.pdf 916KB

building dynamic knowledge graphs from text using machine reading comprehension.pdf 197KB

bounce and learn modeling scene dynamics with real-world bounces.pdf 17.4MB

adv-bnn improved adversarial defense through robust bayesian neural network.pdf 487KB

analysing mathematical reasoning abilities of neural models.pdf 906KB

attention learn to solve routing problems.pdf 1.31MB

adaptive posterior learning few-shot learning with a surprise-based memory module.pdf 1.4MB

algorithmic framework for model-based deep reinforcement learning with theoretical guarantees.pdf 1000KB

alista analytic weights are as good as learned weights in lista.pdf 658KB

cem-rl combining evolutionary and gradient-based methods for policy search.pdf 2.68MB

an empirical study of binary neural networks' optimisation.pdf 616KB

accelerating nonconvex learning via replica exchange langevin diffusion.pdf 3.1MB

arm augment-reinforce-merge gradient for stochastic binary networks.pdf 1.66MB

beyond pixel norm-balls parametric adversaries using an analytically differentiable renderer.pdf 3.08MB

boosting robustness certification of neural networks.pdf 302KB

a2bcd asynchronous acceleration with optimal complexity.pdf 921KB

approximability of discriminators implies diversity in gans.pdf 775KB

bayesian prediction of future street scenes using synthetic likelihoods.pdf 3.97MB

adaptivity of deep relu network for learning in besov and mixed smooth besov spaces optimal rate and curse of dimensionality.pdf 423KB

a unified theory of early visual representations from retina to cortex through anatomically constrained deep cnns.pdf 6.34MB

adversarial domain adaptation for stable brain-machine interfaces.pdf 2.01MB

a convergence analysis of gradient descent for deep linear neural networks.pdf 576KB

augmented cyclic adversarial learning for low resource domain adaptation.pdf 1.44MB

adashift decorrelation and convergence of adaptive learning rate methods.pdf 4.95MB

a data-driven and distributed approach to sparse signal representation and recovery.pdf 2.09MB

antisymmetricrnn a dynamical system view on recurrent neural networks.pdf 1.58MB

bayesian policy optimization for model uncertainty.pdf 806KB

an empirical study of example forgetting during deep neural network learning.pdf 1.49MB

adversarial reprogramming of neural networks.pdf 21.12MB

beyond greedy ranking slate optimization via list-cvae.pdf 594KB

anytime minibatch exploiting stragglers in online distributed optimization.pdf 559KB

a statistical approach to assessing neural network robustness.pdf 1.08MB

accumulation bit-width scaling for ultra-low precision training of deep networks.pdf 713KB

adversarial audio synthesis.pdf 2.21MB

camou learning physical vehicle camouflages to adversarially attack detectors in the wild.pdf 7MB

automatically composing representation transformations as a means for generalization.pdf 1.88MB

aggregated momentum stability through passive damping.pdf 2.39MB

analyzing inverse problems with invertible neural networks.pdf 9.17MB

benchmarking neural network robustness to common corruptions and perturbations.pdf 965KB

a variational inequality perspective on generative adversarial networks.pdf 3.36MB

biologically-plausible learning algorithms can scale to large datasets.pdf 722KB

adversarial imitation via variational inverse reinforcement learning.pdf 1.28MB

a comprehensive application-oriented study of catastrophic forgetting in dnns.pdf 930KB

big-little net an efficient multi-scale feature representation for visual and speech recognition.pdf 1.97MB

adef an iterative algorithm to construct adversarial deformations.pdf 21.69MB

bayesian deep convolutional networks with many channels are gaussian processes.pdf 5.82MB

a max-affine spline perspective of recurrent neural networks.pdf 1.66MB

approximating cnns with bag-of-local-features models works surprisingly well on imagenet.pdf 14.46MB

a kernel random matrix-based approach for sparse pca.pdf 1.72MB

adversarial attacks on graph neural networks via meta learning.pdf 331KB

cbow is not all you need combining cbow with the compositional matrix space model.pdf 255KB

active learning with partial feedback.pdf 629KB

amortized bayesian meta-learning.pdf 683KB

ad-vat an asymmetric dueling mechanism for learning visual active tracking.pdf 1.62MB

a universal music translation network.pdf 1.55MB

adaptive gradient methods with dynamic bound of learning rate.pdf 603KB

attentive neural processes.pdf 5.71MB

are adversarial examples inevitable.pdf 515KB

adaptive estimators show information compression in deep neural networks.pdf 13.36MB

a generative model for electron paths.pdf 1.68MB

auxiliary variational mcmc.pdf 386KB

babyai a platform to study the sample efficiency of grounded language learning.pdf 296KB

a new dog learns old tricks rl finds classic optimization algorithms.pdf 1.16MB

ba-net dense bundle adjustment networks.pdf 12.52MB

bias-reduced uncertainty estimation for deep neural classifiers.pdf 1.11MB

caveats for information bottleneck in deterministic scenarios.pdf 800KB

a mean field theory of batch normalization.pdf 2.38MB

backpropamine training self-modifying neural networks with differentiable neuromodulated plasticity.pdf 970KB

an analytic theory of generalization dynamics and transfer learning in deep linear networks.pdf 3.24MB

adaptive input representations for neural language modeling.pdf 739KB

a direct approach to robust deep learning using adversarial networks.pdf 316KB

capsule graph neural network.pdf 1.93MB

autoloss learning discrete schedule for alternate optimization.pdf 676KB

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ICLR 2019 Poster.zip

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