ICLR - arXivDaily 期刊&会议

1511.05641 2016-04-26 cs.LG

Net2Net: Accelerating Learning via Knowledge Transfer

Tianqi Chen, Ian Goodfellow, Jonathon Shlens

Comments ICLR 2016 submission

1511.05175 2016-04-20 cs.CV cs.AI cs.LG

Convolutional Models for Joint Object Categorization and Pose Estimation

Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed Elgammal

Comments only for workshop presentation at ICLR

1511.06499 2016-04-19 stat.ML cs.LG cs.NE stat.CO

The Variational Gaussian Process

Dustin Tran, Rajesh Ranganath, David M. Blei

Comments Appears in International Conference on Learning Representations, 2016

1604.03736 2016-04-14 cs.LG stat.ML

A Differentiable Transition Between Additive and Multiplicative Neurons

Wiebke Köpp, Patrick van der Smagt, Sebastian Urban

Comments ICLR 2016 extended abstract

1511.06909 2016-04-01 cs.LG cs.CL cs.NE stat.ML

BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies

Shihao Ji, S. V. N. Vishwanathan, Nadathur Satish, Michael J. Anderson, Pradeep Dubey

Comments Published as a conference paper at ICLR 2016

1511.05897 2016-03-09 cs.LG cs.AI stat.ML

Censoring Representations with an Adversary

Harrison Edwards, Amos Storkey

Comments Paper accepted to ICLR

1511.08198 2016-03-07 cs.CL cs.LG

Towards Universal Paraphrastic Sentence Embeddings

John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu

Comments Published as a conference paper at ICLR 2016

1511.05122 2016-03-07 cs.CV cs.LG cs.NE

Adversarial Manipulation of Deep Representations

Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet

Comments Accepted as a conference paper at ICLR 2016

1511.07069 2016-03-03 cs.CV

Auxiliary Image Regularization for Deep CNNs with Noisy Labels

Samaneh Azadi, Jiashi Feng, Stefanie Jegelka, Trevor Darrell

Comments Published as a conference paper at ICLR 2016

1511.06085 2016-03-03 cs.CV cs.LG cs.NE

Variable Rate Image Compression with Recurrent Neural Networks

George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar

Comments Under review as a conference paper at ICLR 2016

1511.06018 2016-03-03 cs.CL cs.LG

Segmental Recurrent Neural Networks

Lingpeng Kong, Chris Dyer, Noah A. Smith

Comments 10 pages, published as a conference paper at ICLR 2016

1511.05939 2016-03-03 stat.ML cs.LG

Metric Learning with Adaptive Density Discrimination

Oren Rippel, Manohar Paluri, Piotr Dollar, Lubomir Bourdev

Comments ICLR 2016

1506.05011 2016-03-03 stat.ML cs.CV cs.LG

Bayesian representation learning with oracle constraints

Theofanis Karaletsos, Serge Belongie, Gunnar Rätsch

Comments 16 pages, publishes in ICLR 16

1511.06448 2016-03-02 cs.LG cs.CV

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

Pouya Bashivan, Irina Rish, Mohammed Yeasin, Noel Codella

Comments To be published as a conference paper at ICLR 2016

1511.06432 2016-03-02 cs.CV cs.LG cs.NE

Delving Deeper into Convolutional Networks for Learning Video Representations

Nicolas Ballas, Li Yao, Chris Pal, Aaron Courville

Comments ICLR 2016

1511.06361 2016-03-02 cs.LG cs.CL cs.CV

Order-Embeddings of Images and Language

Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun

Comments ICLR camera-ready version

1511.06114 2016-03-02 cs.LG cs.CL stat.ML

Multi-task Sequence to Sequence Learning

Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser

Comments 10 pages, 4 figures, ICLR 2016 camera-ready, added parsing SOTA results

1509.06664 2016-03-02 cs.CL cs.AI cs.LG cs.NE

Reasoning about Entailment with Neural Attention

Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiský, Phil Blunsom

Comments ICLR 2016 camera-ready, 9 pages, 10 figures (incl. subfigures)

1511.07543 2016-03-01 cs.LG cs.NE

Convergent Learning: Do different neural networks learn the same representations?

Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John Hopcroft

Comments Published as a conference paper at ICLR 2016

1511.06410 2016-03-01 cs.LG cs.AI

Better Computer Go Player with Neural Network and Long-term Prediction

Yuandong Tian, Yan Zhu

Comments 10 pages, 9 without references. Submission for ICLR 2016

1511.06279 2016-03-01 cs.LG cs.NE

Neural Programmer-Interpreters

Scott Reed, Nando de Freitas

Comments ICLR 2016 conference submission

1511.05042 2016-03-01 cs.NE cs.LG stat.ML

An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family

Alexandre de Brébisson, Pascal Vincent

Comments Published at ICLR 2016

1511.04773 2016-03-01 cs.LG

Large-Scale Approximate Kernel Canonical Correlation Analysis

Weiran Wang, Karen Livescu

Comments Published as a conference paper at International Conference on Learning Representations (ICLR) 2016

1511.02793 2016-03-01 cs.LG cs.CV

Generating Images from Captions with Attention

Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba, Ruslan Salakhutdinov

Comments Published as a conference paper at ICLR 2016

1510.03009 2016-02-29 cs.LG cs.NE

Neural Networks with Few Multiplications

Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio

Comments Published as a conference paper at ICLR 2016. 9 pages, 3 figures

1511.05952 2016-02-26 cs.LG

Prioritized Experience Replay

Tom Schaul, John Quan, Ioannis Antonoglou, David Silver

Comments Published at ICLR 2016

1511.05176 2016-02-26 cs.LG

MuProp: Unbiased Backpropagation for Stochastic Neural Networks

Shixiang Gu, Sergey Levine, Ilya Sutskever, Andriy Mnih

Comments Published as a conference paper at ICLR 2016

1511.06644 2016-02-25 cs.LG stat.ML

Recurrent Gaussian Processes

César Lincoln C. Mattos, Zhenwen Dai, Andreas Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence

Comments Published as a conference paper at ICLR 2016. 12 pages, 3 figures

1511.06391 2016-02-25 stat.ML cs.CL cs.LG

Order Matters: Sequence to sequence for sets

Oriol Vinyals, Samy Bengio, Manjunath Kudlur

Comments Accepted as a conference paper at ICLR 2015

1602.06822 2016-02-23 cs.LG

Understanding Visual Concepts with Continuation Learning

William F. Whitney, Michael Chang, Tejas Kulkarni, Joshua B. Tenenbaum

Comments Under review as a workshop paper for ICLR 2016