On the Limits of Learning Representations with Label-Based Supervision
Comments Submitted to ICLR 2017 Workshop Track
期刊&会议
ICLR
International Conference on Learning Representations · 会议 · Machine Learning
Deep Probabilistic Programming
Comments Appears in International Conference on Learning Representations, 2017. A companion webpage for this paper is available at http://edwardlib.org/iclr2017
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes
Comments Published as a conference paper at ICLR 2017
Energy-based Generative Adversarial Network
Comments Submitted to ICLR 2017
Multi-Agent Cooperation and the Emergence of (Natural) Language
Comments Accepted at ICLR 2017
Lie-Access Neural Turing Machines
Comments Published at ICLR. Rewrite and improvement of arXiv:1602.08671
The Neural Noisy Channel
Comments ICLR 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
Comments Published as a conference paper for ICLR 2017. 15 pages, 6 figures
Variational Lossy Autoencoder
Comments Added CIFAR10 experiments; ICLR 2017
Why Deep Neural Networks for Function Approximation?
Comments The paper is published at the 5th International Conference on Learning Representations (ICLR)
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Comments Accepted for publication at the International Conference on Learning Representations (ICLR) 2017. Supplementary video: https://youtu.be/w1YJ9vwaoto
Adversarial Examples for Semantic Image Segmentation
Comments ICLR 2017 workshop submission
Capacity and Trainability in Recurrent Neural Networks
Comments Published as a conference paper at ICLR 2017
Generative Multi-Adversarial Networks
Comments Accepted as a conference paper (poster) at ICLR 2017
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Comments Accepted to ICLR 17 as an oral
Mode Regularized Generative Adversarial Networks
Comments Published as a conference paper at ICLR 2017
Learning a Natural Language Interface with Neural Programmer
Comments Published as a conference paper at ICLR 2017
Reasoning with Memory Augmented Neural Networks for Language Comprehension
Comments Accepted at ICLR 2017
Learning What Data to Learn
Comments A preliminary version will appear in ICLR 2017, workshop track. https://openreview.net/forum?id=SyJNmVqgg¬eId=SyJNmVqgg
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
Comments Conference Paper at the International Conference on Learning Representations (ICLR) 2017
Density estimation using Real NVP
Comments 10 pages of main content, 3 pages of bibliography, 18 pages of appendix. Accepted at ICLR 2017
Changing Model Behavior at Test-Time Using Reinforcement Learning
Comments Submitted to ICLR 2017 Workshop Track
Automatic Rule Extraction from Long Short Term Memory Networks
Comments ICLR 2017 accepted paper
Understanding deep learning requires rethinking generalization
Comments Published in ICLR 2017
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Comments International Conference on Learning Representations
Query-Reduction Networks for Question Answering
Comments Published as a conference paper at ICLR 2017. Title of the paper has changed from "Query-Regression Networks for Machine Comprehension"
Calibrating Energy-based Generative Adversarial Networks
Comments ICLR 2017 camera ready
Unitary-Group Invariant Kernels and Features from Transformed Unlabeled Data
Comments 11 page main paper (including references), 2 page supplementary, for a total of 13 pages. Submitted for review at ICLR 2016
Trained Ternary Quantization
Comments Accepted for Poster Presentation on ICLR 2017
Semi-Supervised Classification with Graph Convolutional Networks
Comments Published as a conference paper at ICLR 2017
