Eigenoption Discovery through the Deep Successor Representation
Comments Published as a conference paper at ICLR 2018
期刊&会议
ICLR
International Conference on Learning Representations · 会议 · Machine Learning
Learning Differentially Private Recurrent Language Models
Comments Camera-ready ICLR 2018 version, minor edits from previous
Twin Networks: Matching the Future for Sequence Generation
Comments 12 pages, 3 figures, published at ICLR 2018
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Comments Accepted to ICLR 2018
A Simple Neural Attentive Meta-Learner
Comments iclr 2018 version
Factorization tricks for LSTM networks
Comments accepted to ICLR 2017 Workshop
On the Expressive Power of Overlapping Architectures of Deep Learning
Comments Published as a conference paper at ICLR 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Journal ref ICLR 2018
Can Neural Networks Understand Logical Entailment?
Comments Published at ICLR 2018 (main conference)
Monotonic Chunkwise Attention
Comments ICLR camera-ready version
Hierarchical Representations for Efficient Architecture Search
Comments Accepted as a conference paper at ICLR 2018
Action-depedent Control Variates for Policy Optimization via Stein's Identity
Comments The first two authors contributed equally. Author ordering determined by coin flip over a Google Hangout. Accepted by ICLR 2018
FigureQA: An Annotated Figure Dataset for Visual Reasoning
Comments workshop paper at ICLR 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Comments Published as a conference paper at ICLR 2018
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Comments Published as a conference paper at ICLR 2018
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Comments ICLR 2018
Kernel Implicit Variational Inference
Comments Published as a conference paper at ICLR 2018
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Comments Published as a conference paper at ICLR 2018
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Comments Published as a conference paper at ICLR 2018. (v3 changed paper title)
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Comments 9 pages. Published as a conference paper at ICLR 2018
Guide Actor-Critic for Continuous Control
Comments ICLR 2018
Smooth Loss Functions for Deep Top-k Classification
Comments ICLR 2018
Variance-based Gradient Compression for Efficient Distributed Deep Learning
Comments ICLR 2018 Workshop
Proximal Backpropagation
Comments Published as a conference paper at ICLR 2018
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms
Comments Under review at ICLR 2018 workshop track
Efficient Sparse-Winograd Convolutional Neural Networks
Comments Published as a conference paper at ICLR 2018
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Comments 16 pages, 5 figures, ICLR 2018
Spectral Normalization for Generative Adversarial Networks
Comments Published as a conference paper at ICLR 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Comments Published as a conference paper at the Sixth International Conference on Learning Representations (ICLR 2018) https://openreview.net/forum?id=SyZI0GWCZ
Learning to Count Objects in Natural Images for Visual Question Answering
Comments Published in ICLR 2018
