Research
An early overview of ICLR2019 (part 2)
21 Dec 2018
Decisions for ICLR2019 are out! So it is time to take a look at this year’s trends! Which researches have been most successful? Which institutions? Which papers? (Link to part 1) This year, 24 oral papers have been accepted, 476 posters, and 918 rejects. This is, 500 of 1418 papers...
An early overview of ICLR2019
07 Oct 2018
This year’s venue will be held on May 6-9 in New Orleans. No big changes with respect to the last edition, except for the Workshop track, which will be held in small concurrent events, with a separately chaired process. Anyway, let’s take a look to ICLR2019 reviews! For those who...
An early overview of ICLR2018 (part 3)
31 Jan 2018
Finally, decisions for the ICLR2018 conference are out! Congratulations to those who got their papers accepted, and I hope reviews serve as a source of inspiration for those who got their papers rejected. Now that we have the acceptance decisions and author names have been disclosed, let’s play with data...
An early overview of ICLR2018 (part 2)
05 Dec 2017
The rebuttal period has ended and final decisions will be notified by January 29th. In this post, differently from part one, I will provide updated information about the decision process. For those who just want the data right now, here is the browsable table with all the submissions under review:...
An early overview of ICLR2018
04 Dec 2017
Most reviews for ICLR2018 are out and given the success of the past edition it is time for the next one :) Update: I have published an overview of the decision process in part 2, and final decisions in part 3. The sixth edition of ICLR will be held in...
GSOC2017: RNNs on tiny-dnn
27 Aug 2017
Recurrent Neural Networks (RNNs) are now central to many applications, from speech recognition to Computer Vision. Some examples are Image captioning, Visual Question Answering (VQA), autonomous driving, and even Lip reading. During this Google Summer of Code, I have extended the tiny-dnn framework with an RNN API, thus making it...
Regularizing CNNs with Locally Constrained Decorrelations (ICLR2017)
12 Mar 2017
TL;DR We propose to locally decorrelate the feature weights of CNNs. When the proposed method, which we call OrthoReg, is used to regularize the 40 layers of Wide Residual Networks, we obtain state of the art results on CIFAR, and SVHN. Here is an example of the effects of our...
An early overview of ICLR2017
20 Dec 2016
Machine learning is accelerating, we have an idea and it is on arxiv the next day, NIPS2016 was bigger than ever and it is difficult to keep track of all the new interesting work. Given that this is the first time I submit to ICLR, and taking advantage from all...
torch.async-hdf5-reader
20 Apr 2016
I decided to share this script I was using in order to accelerate the training of neural nets making them to gather data in parallel. So I wrote some tests to check it performs well its basic functions and commented the code a little bit. Dependencies It depends on the...
matconv2caffe v0.1 released
05 Aug 2015
Convert Matconvnet models to Caffe with matconv2caffe. There is already a script to import caffe models to matconvnet thanks to @vedaldi. However, we needed the oposite so I made a script that converts the .caffemodel and extracts a deplotment .prototxt model definition and the average image. Currently it only works...