Pascal Vincent
Identifiers
- name variant Pascal Vincent 0.60 · backfill
Papers (26)
- Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition cs.CV · 2019 · author #4
- fastMRI: An Open Dataset and Benchmarks for Accelerated MRI cs.CV · 2018 · author #19
- Randomized Value Functions via Multiplicative Normalizing Flows cs.LG · 2018 · author #5
- Improving Landmark Localization with Semi-Supervised Learning cs.CV · 2017 · author #4
- Learning to Compute Word Embeddings On the Fly cs.LG · 2017 · author #5
- Convergent Tree Backup and Retrace with Function Approximation cs.LG · 2017 · author #4
- Learning to Generate Samples from Noise through Infusion Training stat.ML · 2017 · author #3
- A Cheap Linear Attention Mechanism with Fast Lookups and Fixed-Size Representations cs.LG · 2016 · author #2
- Exact gradient updates in time independent of output size for the spherical loss family cs.NE · 2016 · author #1
- Hierarchical Memory Networks stat.ML · 2016 · author #4
- Theano: A Python framework for fast computation of mathematical expressions cs.SC · 2016 · author #102
- The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family cs.LG · 2016 · author #2
- Universal Vectorial and Ultrasensitive Nanomechanical Force Field Sensor cond-mat.mes-hall · 2016 · author #4
- Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation cs.CV · 2015 · author #3
- An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family cs.NE · 2015 · author #2
- Artificial Neural Networks Applied to Taxi Destination Prediction cs.LG · 2015 · author #4
- Clustering is Efficient for Approximate Maximum Inner Product Search cs.LG · 2015 · author #3
- Dropout as data augmentation stat.ML · 2015 · author #3
- GSNs : Generative Stochastic Networks cs.LG · 2015 · author #7
- EmoNets: Multimodal deep learning approaches for emotion recognition in video cs.LG · 2015 · author #15
- Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets cs.NE · 2014 · author #1
- Generalized Denoising Auto-Encoders as Generative Models cs.LG · 2013 · author #4
- High-dimensional sequence transduction cs.LG · 2012 · author #3
- Representation Learning: A Review and New Perspectives cs.LG · 2012 · author #3
- Learning invariant features through local space contraction cs.AI · 2011 · author #6
- Adding noise to the input of a model trained with a regularized objective cs.AI · 2011 · author #4
Mentions
- 1811.08839 #19 · arxiv_oai · confidence 0.70 Pascal Vincent
- 1206.5538 #3 · backfill · confidence 0.70 Pascal Vincent
- 1104.4153 #6 · backfill · confidence 0.70 Pascal Vincent
- 1104.3250 #4 · backfill · confidence 0.70 Pascal Vincent
Frequent Coauthors
- Yoshua Bengio 12 shared papers
- Alexandre de Br\'ebisson 7 shared papers
- Xavier Bouthillier 5 shared papers
- Christopher Pal 4 shared papers
- Sina Honari 4 shared papers
- Aaron Courville 3 shared papers
- Adriana Romero 3 shared papers
- Guillaume Alain 3 shared papers
- Li Yao 3 shared papers
- Nicolas Boulanger-Lewandowski 3 shared papers
- Roland Memisevic 3 shared papers
- Xavier Glorot 3 shared papers
- Ahmed Touati 2 shared papers
- Alex Auvolat 2 shared papers
- Caglar Gulcehre 2 shared papers
- David Warde-Farley 2 shared papers
- Dzmitry Bahdanau 2 shared papers
- \'Etienne Simon 2 shared papers
- Hugo Larochelle 2 shared papers
- Jason Yosinski 2 shared papers