Hebrew University of Jerusalem

∙ Jerusalem , Israel ∙ 0 followers

The Hebrew University of Jerusalem is Israel's second-oldest university, established in 1918, 30 years before the establishment of the State of Israel.

Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization

Domain generalization is the problem of machine learning when the traini...
02/13/2020 ∙ by Vikas K. Garg, et al. ∙ 26 ∙ share

read it
An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis

Canonical Correlation Analysis (CCA) is a linear representation learning...
10/31/2018 ∙ by Amichai Painsky, et al. ∙ 14 ∙ share

read it
Learning to Prune: Speeding up Repeated Computations

It is common to encounter situations where one must solve a sequence of ...
04/26/2019 ∙ by Daniel Alabi, et al. ∙ 12 ∙ share

read it
Causal Feature Discovery through Strategic Modification

We consider an online regression setting in which individuals adapt to t...
02/17/2020 ∙ by Yahav Bechavod, et al. ∙ 11 ∙ share

read it
On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions

Recent advances in randomized incremental methods for minimizing L-smoot...
02/09/2020 ∙ by Yossi Arjevani, et al. ∙ 5 ∙ share

read it
Why do deep convolutional networks generalize so poorly to small image transformations?

Deep convolutional network architectures are often assumed to guarantee ...
05/30/2018 ∙ by Aharon Azulay, et al. ∙ 4 ∙ share

read it
Equal Opportunity in Online Classification with Partial Feedback

We study an online classification problem with partial feedback in which...
02/06/2019 ∙ by Yahav Bechavod, et al. ∙ 4 ∙ share

read it
On self-play computation of equilibrium in poker

We compare performance of the genetic algorithm and the counterfactual r...
05/23/2018 ∙ by Mikhail Goykhman, et al. ∙ 2 ∙ share

read it
On GANs and GMMs

A longstanding problem in machine learning is to find unsupervised metho...
05/31/2018 ∙ by Eitan Richardson, et al. ∙ 2 ∙ share

read it
Learning Parities with Neural Networks

In recent years we see a rapidly growing line of research which shows le...
02/18/2020 ∙ by Amit Daniely, et al. ∙ 2 ∙ share

read it
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons

Crowdsourcing has become a popular method for collecting labeled trainin...
12/13/2017 ∙ by Tom Hope, et al. ∙ 0 ∙ share

read it
On evolutionary selection of blackjack strategies

We apply the approach of evolutionary programming to the problem of opti...
11/16/2017 ∙ by Mikhail Goykhman, et al. ∙ 0 ∙ share

read it
Benefits of Depth for Long-Term Memory of Recurrent Networks

The key attribute that drives the unprecedented success of modern Recurr...
10/25/2017 ∙ by Yoav Levine, et al. ∙ 0 ∙ share

read it
Sum-Product-Quotient Networks

We present a novel tractable generative model that extends Sum-Product N...
10/12/2017 ∙ by Or Sharir, et al. ∙ 0 ∙ share

read it
Neuron-level Selective Context Aggregation for Scene Segmentation

Contextual information provides important cues for disambiguating visual...
11/22/2017 ∙ by Zhenhua Wang, et al. ∙ 0 ∙ share

read it
Gaussian Lower Bound for the Information Bottleneck Limit

The Information Bottleneck (IB) is a conceptual method for extracting th...
11/07/2017 ∙ by Amichai Painsky, et al. ∙ 0 ∙ share

read it
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions

The driving force behind convolutional networks - the most successful de...
05/05/2017 ∙ by Nadav Cohen, et al. ∙ 0 ∙ share

read it
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design

Deep convolutional networks have witnessed unprecedented success in vari...
04/05/2017 ∙ by Yoav Levine, et al. ∙ 0 ∙ share

read it
Optimal Shrinkage of Singular Values Under Random Data Contamination

A low rank matrix X has been contaminated by uniformly distributed noise...
10/26/2017 ∙ by Danny Barash, et al. ∙ 0 ∙ share

read it
On the Expressive Power of Overlapping Architectures of Deep Learning

Expressive efficiency refers to the relation between two architectures A...
03/06/2017 ∙ by Or Sharir, et al. ∙ 0 ∙ share

read it
Tractable Generative Convolutional Arithmetic Circuits

Casting neural networks in generative frameworks is a highly sought-afte...
10/13/2016 ∙ by Or Sharir, et al. ∙ 0 ∙ share

read it
Accelerating Innovation Through Analogy Mining

The availability of large idea repositories (e.g., the U.S. patent datab...
06/17/2017 ∙ by Tom Hope, et al. ∙ 0 ∙ share

read it
Inductive Bias of Deep Convolutional Networks through Pooling Geometry

Our formal understanding of the inductive bias that drives the success o...
05/22/2016 ∙ by Nadav Cohen, et al. ∙ 0 ∙ share

read it
Convolutional Rectifier Networks as Generalized Tensor Decompositions

Convolutional rectifier networks, i.e. convolutional neural networks wit...
03/01/2016 ∙ by Nadav Cohen, et al. ∙ 0 ∙ share

read it
Linear Readout of Object Manifolds

Objects are represented in sensory systems by continuous manifolds due t...
12/06/2015 ∙ by SueYeon Chung, et al. ∙ 0 ∙ share

read it
On the Expressive Power of Deep Learning: A Tensor Analysis

It has long been conjectured that hypotheses spaces suitable for data th...
09/16/2015 ∙ by Nadav Cohen, et al. ∙ 0 ∙ share

read it
Deep SimNets

We present a deep layered architecture that generalizes convolutional ne...
06/09/2015 ∙ by Nadav Cohen, et al. ∙ 0 ∙ share

read it
Learning Data Manifolds with a Cutting Plane Method

We consider the problem of classifying data manifolds where each manifol...
05/28/2017 ∙ by SueYeon Chung, et al. ∙ 0 ∙ share

read it
An Axiomatic Approach to Routing

Information delivery in a network of agents is a key issue for large, co...
06/24/2016 ∙ by Omer Lev, et al. ∙ 0 ∙ share

read it
Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment

Peer review, evaluation, and selection is a fundamental aspect of modern...
04/13/2016 ∙ by Haris Aziz, et al. ∙ 0 ∙ share

read it
Covariance Plasticity and Regulated Criticality

We propose that a regulation mechanism based on Hebbian covariance plast...
02/20/2002 ∙ by Elie Bienenstock, et al. ∙ 0 ∙ share

read it
Information-Theoretic Bounded Rationality

Bounded rationality, that is, decision-making and planning under resourc...
12/21/2015 ∙ by Pedro A. Ortega, et al. ∙ 0 ∙ share

read it
A Tight Convex Upper Bound on the Likelihood of a Finite Mixture

The likelihood function of a finite mixture model is a non-convex functi...
08/18/2016 ∙ by Elad Mezuman, et al. ∙ 0 ∙ share

read it
Online Trajectory Segmentation and Summary With Applications to Visualization and Retrieval

Trajectory segmentation is the process of subdividing a trajectory into ...
07/24/2016 ∙ by Yehezkel S. Resheff, et al. ∙ 0 ∙ share

read it
Ballpark Learning: Estimating Labels from Rough Group Comparisons

We are interested in estimating individual labels given only coarse, agg...
06/30/2016 ∙ by Tom Hope, et al. ∙ 0 ∙ share

read it
Estimating mutual information in high dimensions via classification error

Multivariate pattern analyses approaches in neuroimaging are fundamental...
06/16/2016 ∙ by Charles Y. Zheng, et al. ∙ 0 ∙ share

read it
How many faces can be recognized? Performance extrapolation for multi-class classification

The difficulty of multi-class classification generally increases with th...
06/16/2016 ∙ by Charles Y. Zheng, et al. ∙ 0 ∙ share

read it
Memory shapes time perception and intertemporal choices

There is a consensus that human and non-human subjects experience tempor...
04/18/2016 ∙ by Pedro A. Ortega, et al. ∙ 0 ∙ share

read it
Optimized Linear Imputation

Often in real-world datasets, especially in high dimensional data, some ...
11/17/2015 ∙ by Yehezkel S. Resheff, et al. ∙ 0 ∙ share

read it
An Algorithm for Training Polynomial Networks

We consider deep neural networks, in which the output of each node is a ...
04/26/2013 ∙ by Roi Livni, et al. ∙ 0 ∙ share

read it
Low-Rank Matrix Recovery from Row-and-Column Affine Measurements

We propose and study a row-and-column affine measurement scheme for low-...
05/23/2015 ∙ by Avishai Wagner, et al. ∙ 0 ∙ share

read it
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information

We consider the task of predicting various traits of a person given an i...
05/29/2016 ∙ by Yoad Lewenberg, et al. ∙ 0 ∙ share

read it
Learning Fine-grained Features via a CNN Tree for Large-scale Classification

We propose a novel approach to enhance the discriminability of Convoluti...
11/14/2015 ∙ by Zhenhua Wang, et al. ∙ 0 ∙ share

read it
Efficient coordinate-descent for orthogonal matrices through Givens rotations

Optimizing over the set of orthogonal matrices is a central component in...
12/02/2013 ∙ by Uri Shalit, et al. ∙ 0 ∙ share

read it
A Quantitative Version of the Gibbard-Satterthwaite Theorem for Three Alternatives

The Gibbard-Satterthwaite theorem states that every non-dictatorial elec...
05/25/2011 ∙ by Ehud Friedgut, et al. ∙ 0 ∙ share

read it
Typical models: minimizing false beliefs

A knowledge system S describing a part of real world does in general not...
05/19/2011 ∙ by Eliezer L. Lozinskii, et al. ∙ 0 ∙ share

read it
General Deformations of Point Configurations Viewed By a Pinhole Model Camera

This paper is a theoretical study of the following Non-Rigid Structure f...
05/29/2015 ∙ by Yirmeyahu Kaminski, et al. ∙ 0 ∙ share

read it
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models

We consider distributed estimation of the inverse covariance matrix, als...
03/19/2013 ∙ by Zhaoshi Meng, et al. ∙ 0 ∙ share

read it
Learning Sparse Low-Threshold Linear Classifiers

We consider the problem of learning a non-negative linear classifier wit...
12/13/2012 ∙ by Sivan Sabato, et al. ∙ 0 ∙ share

read it
A Cheap System for Vehicle Speed Detection

The reliable detection of speed of moving vehicles is considered key to ...
01/27/2015 ∙ by Chaim Ginzburg, et al. ∙ 0 ∙ share

read it

Hebrew University of Jerusalem

Featured Researchers