Tomaso Poggio
15 papers · 2003–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Keyword Trendsetter Combo
(5)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(54)
π
Trend Setter
β
The Questioner
π
Century Club
(15)
Conferences
NIPS (9)
AISTATS (2)
ICML (2)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
ventral stream
(4)
unsupervised learning
(2)
representation learning
(2)
face recognition
(2)
feature learning
(2)
object recognition
(2)
hierarchical model
(2)
convolutional neural network
(2)
multi-task learning
(1)
approximate inference
(1)
sequence modeling
(1)
manifold learning
(1)
variational inference
(1)
transfer learning
(1)
temporal modeling
(1)
visual cortex
(1)
action recognition
(1)
k-means clustering
(1)
adversarial robustness
(1)
computer vision
(1)
Papers
On the Power of Decision Trees in Auto-Regressive Language Modeling
NIPS 2024
Norm-based Generalization Bounds for Sparse Neural Networks
NIPS 2023
Biologically Inspired Mechanisms for Adversarial Robustness
NIPS 2020
Approximate Inference with Wasserstein Gradient Flows
AISTATS 2020
Fast and Flexible Inference of Joint Distributions from their Marginals
ICML 2019
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
AISTATS 2019
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets
ICLR 2019
Convex Learning of Multiple Tasks and their Structure
ICML 2015
Neural representation of action sequences: how far can a simple snippet-matching model take us?
NIPS 2013
Learning invariant representations and applications to face verification
NIPS 2013
Learning Manifolds with K-Means and K-Flats
NIPS 2012
Multiclass Learning with Simplex Coding
NIPS 2012
Why The Brain Separates Face Recognition From Object Recognition
NIPS 2011
On Invariance in Hierarchical Models
NIPS 2009
Introduction to the Special Issue on Machine Learning Methods for Text and Images
JMLR 2003