Yoram Singer

Yoram Singer's AcademicInfluence.com Rankings

Yoram Singer

Computer Science

#4554

World Rank

#4804

Historical Rank

Theoretical Computer Science

#64

World Rank

#64

Historical Rank

Machine Learning

#933

World Rank

#946

Historical Rank

Database

#1769

World Rank

#1854

Historical Rank

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Computer Science

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Yoram Singer's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2011) (9035)
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network (2003) (3572)
Improved Boosting Algorithms Using Confidence-rated Predictions (1998) (3501)
BoosTexter: A Boosting-based System for Text Categorization (2000) (2355)
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines (2002) (2281)
Pegasos: primal estimated sub-gradient solver for SVM (2007) (2275)
An Efficient Boosting Algorithm for Combining Preferences (1998) (2271)
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers (2000) (2080)
Online Passive-Aggressive Algorithms (2003) (1897)
Efficient projections onto the l1-ball for learning in high dimensions (2008) (1340)
Unsupervised Models for Named Entity Classification (1999) (1044)
Learning to Order Things (1997) (1002)
The Hierarchical Hidden Markov Model: Analysis and Applications (1998) (990)
Train faster, generalize better: Stability of stochastic gradient descent (2015) (941)
Zero-Shot Learning by Convex Combination of Semantic Embeddings (2013) (855)
On the Learnability and Design of Output Codes for Multiclass Problems (2002) (775)
Ultraconservative Online Algorithms for Multiclass Problems (2001) (763)
Logistic Regression, AdaBoost and Bregman Distances (2000) (702)
Pranking with Ranking (2001) (682)
Efficient Online and Batch Learning Using Forward Backward Splitting (2009) (619)
Context-sensitive learning methods for text categorization (1996) (574)
The power of amnesia: Learning probabilistic automata with variable memory length (1996) (501)
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification (2007) (400)
A simple, fast, and effective rule learner (1999) (400)
A Stochastic Quasi-Newton Method for Large-Scale Optimization (2014) (396)
Boosting and Rocchio applied to text filtering (1998) (388)
On‐Line Portfolio Selection Using Multiplicative Updates (1998) (364)
Online and batch learning of pseudo-metrics (2004) (349)
Composite Objective Mirror Descent (2010) (323)
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity (2016) (290)
Using and combining predictors that specialize (1997) (275)
Image Retrieval and Classification Using Local Distance Functions (2006) (236)
Large margin hierarchical classification (2004) (233)
Group Sparse Coding (2009) (222)
Log-Linear Models for Label Ranking (2003) (212)
A Family of Additive Online Algorithms for Category Ranking (2003) (199)
A primal-dual perspective of online learning algorithms (2007) (190)
The Forgetron: A Kernel-Based Perceptron on a Budget (2008) (190)
Context-sensitive learning methods for text categorization (1999) (187)
Local Low-Rank Matrix Approximation (2013) (183)
On the learnability and usage of acyclic probabilistic finite automata (1995) (182)
Online Classification on a Budget (2003) (163)
Boosting Applied to Tagging and PP Attachment (1999) (154)
Kernel Design Using Boosting (2002) (142)
Local collaborative ranking (2014) (135)
In Advances in Neural Information Processing Systems 14 (2002) (132)
The Power of Amnesia (1993) (132)
Update Rules for Parameter Estimation in Bayesian Networks (1997) (125)
Are All Layers Created Equal? (2019) (123)
Learning probabilistic automata with variable memory length (1994) (119)
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget (2005) (119)
Efficient Learning using Forward-Backward Splitting (2009) (118)
A new family of online algorithms for category ranking (2002) (107)
Shampoo: Preconditioned Stochastic Tensor Optimization (2018) (100)
Convex Repeated Games and Fenchel Duality (2006) (100)
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra (2006) (99)
Leveraging the margin more carefully (2004) (92)
LLORMA: Local Low-Rank Matrix Approximation (2016) (90)
On the equivalence of weak learnability and linear separability: new relaxations and efficient boosting algorithms (2010) (81)
A Comparison of New and Old Algorithms for a Mixture Estimation Problem (1995) (81)
Logarithmic Regret Algorithms for Strongly Convex Repeated Games (2007) (80)
Part-of-Speech Tagging Using a Variable Memory Markov Model (1994) (76)
Efficient Bayesian Parameter Estimation in Large Discrete Domains (1998) (75)
Online Multitask Learning (2006) (73)
Dynamical encoding of cursive handwriting (1993) (73)
Online Learning of Multiple Tasks with a Shared Loss (2007) (72)
Boosting with structural sparsity (2009) (72)
Boosting for document routing (2000) (70)
Switching Portfolios (1998) (69)
Online multiclass learning by interclass hypothesis sharing (2006) (66)
An Online Algorithm for Hierarchical Phoneme Classification (2004) (58)
Online Learning Meets Optimization in the Dual (2006) (58)
Identity Crisis: Memorization and Generalization under Extreme Overparameterization (2019) (57)
Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions (1996) (51)
Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy (1998) (48)
Online Ranking by Projecting (2005) (47)
Support Vector Machines on a Budget (2006) (46)
Learning to Query the Web (1996) (46)
Robust temporal and spectral modeling for query By melody (2002) (43)
The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length (2005) (43)
Multiclass Learning by Probabilistic Embeddings (2002) (42)
A New Perspective on an Old Perceptron Algorithm (2005) (41)
A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment (2007) (41)
Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces (2005) (41)
Memory Efficient Adaptive Optimization (2019) (39)
Protein Family Classification Using Sparse Markov Transducers (2000) (38)
Phoneme alignment based on discriminative learning (2005) (38)
An Efficient Extension to Mixture Techniques for Prediction and Decision Trees (1997) (37)
Data-Driven Online to Batch Conversions (2005) (37)
Beyond Word N-Grams (1996) (34)
Parallel Boosting with Momentum (2013) (34)
Protein Family Classification Using Sparse Markov Transducers (2000) (33)
Improved Output Coding for Classification Using Continuous Relaxation (2000) (31)
Exponentiated Gradient Meets Gradient Descent (2019) (31)
Smooth e-Intensive Regression by Loss Symmetrization (2005) (29)
Learning to Align Polyphonic Music (2004) (29)
Second Order Optimization Made Practical (2020) (28)
Adaptive Mixtures of Probabilistic Transducers (1995) (27)
State-based Classification of Finger Gestures from Electromyographic Signals (2000) (27)
Discriminative kernel-based phoneme sequence recognition (2006) (26)
Smooth ε-insensitive regression by loss symmetrization (2003) (22)
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees (2004) (20)
Spikernels: Embedding Spiking Neurons in Inner-Product Spaces (2002) (19)
BoosTexter: A System for Multiclass Multi-label Text Categorization (1998) (19)
Using Web Co-occurrence Statistics for Improving Image Categorization (2013) (18)
A Boosting Algorithm for Label Covering in Multilabel Problems (2007) (18)
Loss Bounds for Online Category Ranking (2005) (17)
A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization (2017) (16)
Random Features for Compositional Kernels (2017) (16)
Efficient projections onto the {\it l}$_{\mbox{1}}$-ball for learning in high dimensions (2008) (16)
Leveraged Vector Machines (1999) (16)
Memory-Efficient Adaptive Optimization for Large-Scale Learning (2019) (15)
A Unified Algorithmic Approach for Efficient Online Label Ranking (2007) (14)
A Markov model for the acquisition of morphological structure (2003) (13)
Discriminative Binaural Sound Localization (2002) (13)
Individual Sequence Prediction Using Memory-Efficient Context Trees (2009) (12)
Smooth epsiloon-Insensitive Regression by Loss Symmetrization (2005) (12)
A Simple, Fast, and Effictive Rule Learner (1999) (10)
A New Parameter Estimation Method for Gaussian Mixtures (1998) (9)
Sketching and Neural Networks (2016) (9)
Matrix Approximation under Local Low-Rank Assumption (2013) (9)
Learning Algorithm for Enclosing Points in Bregmanian Spheres (2003) (8)
Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences (2001) (8)
Learning a neural response metric for retinal prosthesis (2017) (8)
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities (2004) (7)
Convolutional Bipartite Attractor Networks (2019) (7)
The Well Tempered Lasso (2018) (7)
Shared Context Probabilistic Transducers (1997) (5)
Adaptive Mixture of Probabilistic Transducers (1995) (5)
Online Classification for Complex Problems Using Simultaneous Projections (2006) (5)
Online Learning of Complex Prediction Problems Using Simultaneous Projections (2008) (4)
Individual variability of neural computations in the primate retina (2021) (4)
Short and Deep: Sketching and Neural Networks (2017) (3)
Response model (2015) (3)
Inferring probabilistic acyclic automata using the minimum description length principle (1994) (3)
Decoding Cursive Scripts (1993) (3)
Proximal and First-Order Methods for Convex Optimization (2013) (3)
An Efficient PAC Algorithm for Reconstructing a Mixture of Lines (2002) (2)
Entire Relaxation Path for Maximum Entropy Problems (2011) (2)
Efficient Learning of Sparse Ranking Functions (2013) (2)
Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings (2004) (2)
Phoneme Alignment using Large Margin Techniques (2005) (2)
A Large Margin Algorithm for Forced Alignment (2009) (1)
Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences (2002) (1)
Shining Bright: The Golden Era of Signal Processing (2011) (1)
Composite Objective Optimization and Learning for Massive Datasets (2010) (1)
Full Matrix Preconditioning Made Practical (2019) (1)
Towards learning a metric for neural prosthetics (2018) (0)
Special Issue on Data Mining in Finance C World Scientific Publishing Company Switching Portfolios (2010) (0)
Proximity Preserving Binary Code using Signed Graph-Cut (2020) (0)
"What has been will be again": a machine learning approach to the analysis of natural language (1995) (0)
Error Correcting Output Codes (2010) (0)
Learning Theory, Proceedings of 17th Annual Conference on Learning Theory, COLT 2004 (2004) (0)
Learning class probabilities from labeled data (1992) (0)
Multiclass Categorization by Probabilistic Embeddings (2003) (0)
Learning Preferences Graphs by Soft Projections onto Polyhedra (2005) (0)
The KARMA of Hand Tracking (2007) (0)
A Coordinate Descent Algorithm for Learning Compact Ranking Functions (2010) (0)
SIGIR ’ 98 Boosting and Rocchio Applied to Text Filtering (2015) (0)
Using mixtures of ommon an estors for estimating theprobabilities of dis rete events in biologi al sequen es (2002) (0)
A Markovian Lattice Model for the Acquisition of Morphological Structure (2003) (0)
The Maximum Entropy Relaxation Path (2013) (0)
Guest Editor's Introduction (2004) (0)
L G ] 2 M ar 2 01 8 Shampoo : Preconditioned Stochastic Tensor Optimization (2018) (0)

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Yoram Singer's Academic­Influence.com Rankings

Why Is Yoram Singer Influential?

Yoram Singer's Published Works

Published Works

Yoram Singer's AcademicInfluence.com Rankings