Yann LeCun

Q: What Schools Are Affiliated With Yann LeCun

Yann LeCun is affiliated with the following schools: ESIEE Paris, University of Toronto, New York University Tandon School of Engineering, New York University, Sorbonne University

Why Is Yann LeCun Influential?

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By Erik J. Larson, PhD

Areas of Specialization: Artifical Intelligence, Deep Learning Networks
LeCun is one of the most important people in the subfield of computer science known as machine learning. In particular, he is one of the original scientists working on Deep Learning systems, which are enormously popular in work on Artificial Intelligence today. LeCun received his engineering degree from ESIEE Paris in 1983, and his Ph.D. from Université Pierre et Marie Curie in 1987.

LeCun’s long career has been laser-focused on research on neural networks, actually an old technique in machine learning dating back almost to the inception field of Artificial Intelligence—an important subfield of computer science focused on making intelligent applications—in the 1950s. However, LeCun’s research has been mostly on what are now called “Deep Learning” networks, neural networks that are organized in hierarchies of layers, making them more powerful for many tasks like recognizing objects in photos. Not surprisingly, LeCun’s work on Deep Learning attracted the attention of Web giant Facebook, where he now holds the position of Vice President, Chief AI Scientist at the company. He retains the title of Silver Professor of the Curant Institute of Mathematical Sciences at New York University.

LeCun has significant influence at Facebook and NYU discussing and working on improving Deep Learning systems in AI. As Deep Learning has come to dominate many areas of research in AI, in particular for Web companies like Google, Facebook, Amazon, and others, LeCun’s star has rapidly risen in the last decade. LeCun is a member of the US National Academy of Engineering, and recipient of other awards including the prestigious Turing Award in 2019, which he shares with colleagues Geoffrey Hinton and Yoshua Bengio.

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Featured in Top Influential Computer Scientists Today

According to Wikipedia, Yann André LeCun is a French computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics, and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University, and Vice President, Chief AI Scientist at Meta.

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Yann LeCun'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 Papers

Gradient-based learning applied to document recognition (1998) (36478)
Backpropagation Applied to Handwritten Zip Code Recognition (1989) (8108)
The mnist database of handwritten digits (2005) (4601)
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks (2013) (4455)
Convolutional networks for images, speech, and time series (1998) (4235)
Pattern Recognition and Neural Networks (1995) (4104)
Character-level Convolutional Networks for Text Classification (2015) (3643)
Optimal Brain Damage (1989) (3587)
Dimensionality Reduction by Learning an Invariant Mapping (2006) (3139)
Handwritten Digit Recognition with a Back-Propagation Network (1989) (3015)
Learning a similarity metric discriminatively, with application to face verification (2005) (3013)
Spectral Networks and Locally Connected Networks on Graphs (2013) (2902)
Signature Verification Using A "Siamese" Time Delay Neural Network (1993) (2726)
Efficient BackProp (2012) (2675)
Learning Hierarchical Features for Scene Labeling (2013) (2440)
Regularization of Neural Networks using DropConnect (2013) (2124)
What is the best multi-stage architecture for object recognition? (2009) (2116)
Geometric Deep Learning: Going beyond Euclidean data (2016) (2066)
Convolutional networks and applications in vision (2010) (1625)
Deep multi-scale video prediction beyond mean square error (2015) (1512)
A Closer Look at Spatiotemporal Convolutions for Action Recognition (2017) (1506)
Learning methods for generic object recognition with invariance to pose and lighting (2004) (1334)
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation (2014) (1303)
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation (2014) (1232)
Efficient Learning of Sparse Representations with an Energy-Based Model (2006) (1206)
Deep Convolutional Networks on Graph-Structured Data (2015) (1191)
Learning Fast Approximations of Sparse Coding (2010) (1168)
A Theoretical Analysis of Feature Pooling in Visual Recognition (2010) (1153)
Scaling learning algorithms towards AI (2007) (1139)
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition (2007) (1114)
Learning mid-level features for recognition (2010) (1110)
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches (2015) (1048)
Efficient object localization using Convolutional Networks (2014) (1006)
The Loss Surfaces of Multilayer Networks (2014) (970)
Energy-based Generative Adversarial Network (2016) (893)
Generalization and network design strategies (1989) (882)
A Tutorial on Energy-Based Learning (2006) (838)
Sparse Feature Learning for Deep Belief Networks (2007) (836)
Pedestrian Detection with Unsupervised Multi-stage Feature Learning (2012) (788)
Object Recognition with Gradient-Based Learning (1999) (774)
Very Deep Convolutional Networks for Text Classification (2016) (759)
Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks (2014) (670)
Traffic sign recognition with multi-scale Convolutional Networks (2011) (661)
Comparison of learning algorithms for handwritten digit recognition (1995) (641)
Convolutional Learning of Spatio-temporal Features (2010) (635)
Computing the stereo matching cost with a convolutional neural network (2014) (617)
Comparison of classifier methods: a case study in handwritten digit recognition (1994) (595)
Efficient Pattern Recognition Using a New Transformation Distance (1992) (585)
Learning Convolutional Feature Hierarchies for Visual Recognition (2010) (554)
Entropy-SGD: biasing gradient descent into wide valleys (2016) (520)
Barlow Twins: Self-Supervised Learning via Redundancy Reduction (2021) (512)
Deep learning with Elastic Averaging SGD (2014) (499)
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation (1996) (498)
Off-Road Obstacle Avoidance through End-to-End Learning (2005) (496)
Text Understanding from Scratch (2015) (495)
Fast Training of Convolutional Networks through FFTs (2013) (474)
Convolutional neural networks applied to house numbers digit classification (2012) (469)
Learning algorithms for classification: A comparison on handwritten digit recognition (1995) (457)
Disentangling factors of variation in deep representation using adversarial training (2016) (428)
No more pesky learning rates (2012) (417)
Improving the convergence of back-propagation learning with second-order methods (1989) (412)
Synergistic Face Detection and Pose Estimation with Energy-Based Models (2004) (411)
Large Scale Online Learning (2003) (408)
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks (2018) (390)
Indoor Semantic Segmentation using depth information (2013) (381)
Handwritten digit recognition: applications of neural network chips and automatic learning (1989) (379)
Classification of patterns of EEG synchronization for seizure prediction (2009) (360)
Boosting and Other Ensemble Methods (1994) (359)
Measuring the VC-Dimension of a Learning Machine (1994) (355)
Large-scale Learning with SVM and Convolutional for Generic Object Categorization (2006) (351)
NeuFlow: A runtime reconfigurable dataflow processor for vision (2011) (350)
CNP: An FPGA-based processor for Convolutional Networks (2009) (331)
Learning invariant features through topographic filter maps (2009) (327)
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation (2014) (298)
Ask the locals: Multi-way local pooling for image recognition (2011) (296)
Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network (1991) (289)
Very Deep Convolutional Networks for Natural Language Processing (2016) (281)
High quality document image compression with "DjVu" (1998) (277)
Super-Resolution with Deep Convolutional Sufficient Statistics (2015) (263)
Toward automatic phenotyping of developing embryos from videos (2005) (261)
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition (2010) (243)
Learning long‐range vision for autonomous off‐road driving (2009) (238)
Stacked What-Where Auto-encoders (2015) (234)
Une procedure d'apprentissage pour reseau a seuil asymmetrique (A learning scheme for asymmetric threshold networks) (1985) (228)
Hardware accelerated convolutional neural networks for synthetic vision systems (2010) (227)
Adversarially Regularized Autoencoders (2017) (225)
Improving generalization performance using double backpropagation (1992) (223)
Road Scene Segmentation from a Single Image (2012) (215)
Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate (2010) (215)
Very deep multilingual convolutional neural networks for LVCSR (2015) (210)
Effiicient BackProp (1996) (210)
Energy-based Generative Adversarial Networks (2016) (207)
Transforming Neural-Net Output Levels to Probability Distributions (1990) (206)
Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers (2012) (204)
Predicting Deeper into the Future of Semantic Segmentation (2017) (203)
The Need for Open Source Software in Machine Learning (2007) (203)
Tracking the World State with Recurrent Entity Networks (2016) (198)
Handwritten zip code recognition with multilayer networks (1990) (194)
Multi-Digit Recognition Using a Space Displacement Neural Network (1991) (184)
Design of a neural network character recognizer for a touch terminal (1991) (179)
Deep Learning Made Easier by Linear Transformations in Perceptrons (2012) (179)
A theoretical framework for back-propagation (1988) (170)
Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG (2008) (160)
LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition (1995) (156)
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation (2014) (154)
Transformation invariance in pattern recognition: Tangent distance and propagation (2000) (154)
Learning long-range vision for autonomous off-road driving (2009) (153)
Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks (1998) (150)
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs (2016) (150)
Learning Invariant Feature Hierarchies (2012) (145)
Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics (2012) (143)
Application of the ANNA neural network chip to high-speed character recognition (1992) (141)
The Loss Surface of Multilayer Networks (2014) (139)
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding (2021) (138)
Loss Functions for Discriminative Training of Energy-Based Models (2005) (137)
Unsupervised Learning of Sparse Features for Scalable Audio Classification (2011) (132)
Deep learning for AI (2021) (131)
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond (2016) (130)
Understanding Deep Architectures using a Recursive Convolutional Network (2013) (128)
Learning processes in an asymmetric threshold network (1986) (125)
Large-Scale FPGA-based Convolutional Networks (2011) (123)
Learning to Linearize Under Uncertainty (2015) (121)
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning (2021) (121)
Unsupervised Learning of Spatiotemporally Coherent Metrics (2014) (120)
Feature learning and deep architectures: new directions for music informatics (2013) (119)
Automatic recognition of biological particles in microscopic images (2007) (117)
Global training of document processing systems using graph transformer networks (1997) (116)
Open Problem: The landscape of the loss surfaces of multilayer networks (2015) (108)
Recurrent Orthogonal Networks and Long-Memory Tasks (2016) (108)
A Unified Energy-Based Framework for Unsupervised Learning (2007) (107)
Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors (1992) (97)
Second Order Properties of Error Surfaces: Learning Time and Generalization (1990) (94)
Deep belief net learning in a long-range vision system for autonomous off-road driving (2008) (89)
Image and video coding-emerging standards and beyond (1998) (88)
Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models (1993) (88)
NeuFlow: Dataflow vision processing system-on-a-chip (2012) (86)
Comparing dynamics: deep neural networks versus glassy systems (2018) (81)
Adversarially Regularized Autoencoders for Generating Discrete Structures (2017) (80)
Signal recovery from Pooling Representations (2013) (80)
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic (2019) (79)
Predicting Future Instance Segmentations by Forecasting Convolutional Features (2018) (75)
Statistical Machine Learning and Dissolved Gas Analysis: A Review (2012) (74)
Word-level training of a handwritten word recognizer based on convolutional neural networks (1994) (68)
A Mathematical Motivation for Complex-Valued Convolutional Networks (2015) (68)
Discriminative Recurrent Sparse Auto-Encoders (2013) (65)
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields (2010) (64)
1.1 Deep Learning Hardware: Past, Present, and Future (2019) (63)
The Mind of a Mouse (2020) (62)
An FPGA-based stream processor for embedded real-time vision with Convolutional Networks (2009) (62)
Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing (2012) (61)
Explorations on high dimensional landscapes (2014) (58)
Regularized estimation of image statistics by Score Matching (2010) (56)
DeSIGN: Design Inspiration from Generative Networks (2018) (56)
On the applications of multimedia processing to communications (1998) (56)
Reading checks with multilayer graph transformer networks (1997) (56)
Structured sparse coding via lateral inhibition (2011) (55)
Constrained neural network for unconstrained handwritten digit recognition (1990) (55)
Reading handwritten digits: a ZIP code recognition system (1992) (52)
Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean? (2017) (51)
Semantic Road Segmentation via Multi-scale Ensembles of Learned Features (2012) (51)
Deep learning & convolutional networks (2015) (50)
DjVu: analyzing and compressing scanned documents for Internet distribution (1999) (49)
Dynamic Factor Graphs for Time Series Modeling (2009) (48)
Singularity of the Hessian in Deep Learning (2016) (47)
Convolutional Matching Pursuit and Dictionary Training (2010) (45)
Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning (1989) (43)
A multirange architecture for collision‐free off‐road robot navigation (2009) (43)
Understanding Dimensional Collapse in Contrastive Self-supervised Learning (2021) (41)
Hardware requirements for neural network pattern classifiers: a case study and implementation (1992) (41)
Word normalization for on-line handwritten word recognition (1994) (41)
Orthogonal RNNs and Long-Memory Tasks (2016) (40)
Boosting and Other Machine Learning Algorithms (1994) (39)
Learning Stable Group Invariant Representations with Convolutional Networks (2013) (39)
Handwritten character recognition using neural network architectures (1990) (37)
Unsupervised Image Matching and Object Discovery as Optimization (2019) (37)
Fast Approximations to Structured Sparse Coding and Applications to Object Classification (2012) (36)
Mapping and planning under uncertainty in mobile robots with long-range perception (2008) (36)
Globally trained handwritten word recognizer using spatial representation, space displacement neural networks and hidden Markov models (1993) (36)
Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos (2014) (35)
Saturating Auto-Encoders (2013) (35)
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability (2007) (35)
Unsupervised Feature Learning from Temporal Data (2015) (33)
Dynamic auto-encoders for semantic indexing (2010) (33)
EBLearn: Open-Source Energy-Based Learning in C++ (2009) (33)
Off Line Recognition of Handwritten Postal Words Using Neural Networks (1993) (32)
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations (2018) (32)
Binary embeddings with structured hashed projections (2015) (31)
Writer independent and writer adaptive neural network for on-line character recognition (1992) (29)
Energy-Based Models in Document Recognition and Computer Vision (2007) (29)
Discovering the hidden structure of house prices with a non-parametric latent manifold model (2007) (29)
Learning in High Dimension Always Amounts to Extrapolation (2021) (29)
Model-Based Planning with Discrete and Continuous Actions (2017) (28)
Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch (2002) (28)
Gradient-based Learning Applied to Document Recognition Gt Graph Transformer. Gtn Graph Transformer Network. Hmm Hidden Markov Model. Hos Heuristic Oversegmentation. K-nn K-nearest Neighbor. Nn Neural Network. Ocr Optical Character Recognition. Pca Principal Component Analysis. Rbf Radial Basis Func (1998) (27)
Memory-based character recognition using a transformation invariant metric (1994) (27)
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients (2013) (26)
Machine Learning and the Spatial Structure of House Prices and Housing Returns (2008) (25)
Differentially- and non-differentially-private random decision trees (2014) (25)
Reverse TDNN: An Architecture For Trajectory Generation (1991) (24)
Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation (2007) (24)
Guest Editorial: Deep Learning (2015) (24)
Universum Prescription: Regularization Using Unlabeled Data (2015) (23)
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities (2013) (23)
GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection (1988) (23)
Causal graph-based video segmentation (2013) (23)
Word normalization for online handwritten word recognition (1994) (23)
Reassessing FHA Risk (2010) (23)
COMPARISON OF LEARNING ALGORITHMS FOR (1995) (23)
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images (2007) (23)
A Spectral Regularizer for Unsupervised Disentanglement (2018) (22)
Fast Approximation of Rotations and Hessians matrices (2014) (22)
Learning about an exponential amount of conditional distributions (2019) (22)
A general segmentation scheme for DjVu document compression (2002) (22)
Prediction Under Uncertainty with Error-Encoding Networks (2017) (21)
Discriminative feature and model design for automatic speech recognition (1997) (21)
Unsupervised Learning of Feature Hierarchies (2009) (20)
The Power and Limits of Deep Learning (2018) (20)
An efficient algorithm for learning invariance in adaptive classifiers (1992) (20)
PROC OF THE IEEE NOVEMBER Gradient Based Learning Applied to Document Recognition (2006) (18)
GLoMo: Unsupervised Learning of Transferable Relational Graphs (2018) (18)
A hierarchical loss and its problems when classifying non-hierarchically (2017) (18)
Memoires associatives distribuees: Une comparaison (Distributed associative memories: A comparison) (1987) (17)
Decoupled Contrastive Learning (2021) (17)
Hierarchical loss for classification (2017) (17)
Adaptive long range vision in unstructured terrain (2007) (17)
Browsing through high quality document images with DjVu (1998) (17)
Graph transformer networks for image recognition (2005) (16)
Learning Representations by Maximizing Compression (2011) (16)
Model-Based Planning in Discrete Action Spaces (2017) (16)
Sn: A simulator for connectionist models (1988) (15)
Automatic Learning Rate Maximization in Large Adaptive Machines (1992) (15)
A multi-range vision strategy for autonomous offroad navigation (2007) (15)
Learning maneuver dictionaries for ground robot planning (2008) (15)
E cient Learning of Sparse Overcomplete Representations with an Energy-Based Model (2006) (15)
Toward real-time indoor semantic segmentation using depth information (2014) (15)
Implicit Rank-Minimizing Autoencoder (2020) (14)
Source separation with scattering Non-Negative Matrix Factorization (2015) (14)
High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications (2015) (14)
Color documents on the Web with DjVu (1999) (13)
Guest Editorial Applications Of Artificial Neural Networks To Image Processing (1998) (13)
Hybrid hessians for flexible optimization of pose graphs (2010) (13)
Inspirational Adversarial Image Generation (2019) (12)
Hardware requirements for neural-net optical character recognition (1990) (12)
On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks (1993) (11)
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors (2021) (11)
Natural Versus "universal" Probability, Complexity, And Entropy (1992) (11)
A time delay neural network character recognizer for a touch terminal (1990) (11)
Real-time adaptive off-road vehicle navigation and terrain classification (2013) (10)
Neural Network Applications in Character Recognition and Document Analysis (1994) (10)
Efficient conversion of digital documents to multilayer raster formats (2001) (10)
DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet (1998) (9)
SPEED-RANGE DILEMMAS FOR VISION-BASED NAVIGATION IN UNSTRUCTURED TERRAIN (2007) (9)
Saturating Auto-Encoder (2013) (9)
Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014 (2014) (9)
Second Order Properties of Error Surfaces (1990) (9)
A neural network approach to handprint character recognition (1991) (8)
A theoretical argument for complex-valued convolutional networks (2015) (8)
Learning in Informal Settings (2012) (8)
On the application of multimedia processing to telecommunications (1997) (8)
Simultaneous Learning of Trees and Representations for Extreme Classification, with Application to Language Modeling (2016) (8)
Backpropagation for Implicit Spectral Densities (2018) (8)
Hardware accelerated visual attention algorithm (2011) (7)
1 Efficient BackProp (2012) (7)
Constrained neural networks for pattern recognition (1991) (7)
Universal halting times in optimization and machine learning (2015) (7)
Efficient off-road localization using visually corrected odometry (2009) (7)
Efficient Learning of Sparse Invariant Representations (2011) (6)
Universality in halting time and its applications in optimization (2015) (6)
Learning and Development After School (2012) (6)
Fast Incremental Learning for Off-Road Robot Navigation (2016) (6)
On-line handwriting recognition with neural networks: Spatial representation versus temporal representation (1993) (5)
The NIPS workshop on Deep Learning and Unsupervised Feature Learning (2011) (5)
Factor Graphs for Relational Regression (2008) (5)
Neural Potts Model (2021) (5)
Deep learning with elastic averaging SGD: 3rd International Conference on Learning Representations, ICLR 2015 (2015) (4)
Neural Networks and Gradient-Based Learning in OCR (1997) (4)
Audio Source Separation with Discriminative Scattering Networks (2014) (4)
Time Series Modeling with Hidden Variables and Gradient-Based Algorithms (2010) (4)
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments (2022) (3)
Bio-Inspired Vision Processor for Ultra-Fast Object Categorization (2010) (3)
Byte-Level Recursive Convolutional Auto-Encoder for Text (2018) (3)
Indoor semantic segmentation using depth information: 1st International Conference on Learning Representations, ICLR 2013 (2013) (3)
Learning with Reflective Likelihoods (2018) (3)
The Effects of Regularization and Data Augmentation are Class Dependent (2022) (3)
Djvu: Un systeme de compression d'images pour la distribution reticulaire de documents numerises (Djvu: An image compression system for distributing scanned document on the internet) (2000) (3)
Neural Manifold Clustering and Embedding (2022) (3)
projUNN: efficient method for training deep networks with unitary matrices (2022) (3)
The bottlenecks in human letter recognition: a computational model (2014) (3)
Separating the World and Ego Models for Self-Driving (2022) (2)
Workshop summary: Workshop on learning feature hierarchies (2009) (2)
DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals (2013) (2)
On-Line Learning of Long-Range Obstacle Detection for Off-Road Robots (2006) (2)
Learning from Text (2012) (2)
Generalization using back-propagation (1987) (2)
Multimedia Processing for Advanced Communications Services (1999) (2)
Deep learning, reinforcement learning, and world models (2022) (2)
OPTICAL CHARACTER RECOGNTION FOR AUTOMATIC TELLER MACHINES (1998) (2)
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone (2022) (2)
No More Pesky Learning Rates : Supplementary Material (2013) (2)
Marathi Handwritten Numeral Recognition using Fourier Descriptors and Normalized Chain Code (2017) (2)
Learning Feature Hierarchies for Object Recognition (2010) (2)
Phase 2: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Machine Learning Detection Algorithms (2016) (2)
Learning on automata networks (1987) (1)
Sparse Coding with Multi-Layer Decoders using Variance Regularization (2021) (1)
Pattern Recognition (1998) (1)
Masked Siamese ConvNets (2022) (1)
Phase 4: DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals - Distributed Processing and Big Data Applications (2016) (1)
Design Inspiration from Generative Networks (2018) (1)
Learning Long-Range Vision for an Offroad Robot (2008) (1)
On the duality between contrastive and non-contrastive self-supervised learning (2022) (1)
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods (2022) (1)
Computeur Vision and Pattern Recognition (CVPR). Conference (2008) (1)
Learning Through the Breach: Language Socialization (2012) (1)
High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm (2009) (1)
Saturating auto-encoders: International Conference on Learning Representations, ICLR 2013 (2013) (1)
REASSESSING FHA RISK 1 (2010) (0)
A Path Towards Autonomous Machine Intelligence Version 0.9.2, 2022-06-27 (2022) (0)
Final thesis for the fulfilment of the requirements for the degree of MSc. in Applied Computing Science Improving Score Matching for learning statistical models of natural images (2010) (0)
Handwritten Digit Recognition Using TensorFlow Lite Micro on i.MX RT devices (2021) (0)
Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding (2022) (0)
Phase 1: DCL System Research Using Advanced Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - HPC System Implementation (2016) (0)
Energy-Based Factor Graphs for Prediction in Relational Data (2007) (0)
Message from the Program and General Chairs (2006) (0)
Jean piaget theory in punjabi pdf (2020) (0)
A survey on recent activation functions with emphasis on oscillating activation functions (2022) (0)
AAAI Workshop - Technical Report: Preface (2013) (0)
Predicting transportpath degradation/failure based on recent performance history (1994) (0)
Editorial (2008) (0)
Learning Goals: (2020) (0)
General Information Registration & Reception (0)
Discriminative recurrent sparse auto-encoders: 1st International Conference on Learning Representations, ICLR 2013 (2013) (0)
Recurrent Parameter Generators (2021) (0)
Advances in neural information processing systems: Proceedings of the first 12 conferences (CDROM) (2001) (0)
Learning Sparse and Invariant Features Hierarchies (2007) (0)
Universality in halting time (2017) (0)
Inspirational adversarial image generation Exploring the latent space of GANs (2019) (0)
DCL System Research Using Advanced Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals (2012) (0)
User manual: SN: A simulator for connectionist models (1988) (0)
Extracting structural folding pattern of chromatin using chromatin condensation data using HiCNN[12] or HiCNN2[13] approaches Metrics for evaluation: Comparing the result’s mean squared error and Pearson’s correlation coefficients with experimental high-resolution Hi-C data (2022) (0)
Neural Information Processing (ICONIP 2013) (2013) (0)
Proceedings of the International Computer Music Conference 2016 A Fluid Chord Voicing Generator (2017) (0)
Unsupervised Learning of Sparse and Invariant Features Hierarchies (1998) (0)
Device for recognizing mark (1993) (0)
Optimization of Artificial Neural Network Hyperparameters For Processing Retrospective Information (2021) (0)
Invariant Feature Learning on a Mobile Robot (2008) (0)
COMPARISONOFLEARNING ALGORITHMS FORHANDWRITTEN DIGIT RECOGNITION (1995) (0)
Phase 3: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Bioacoustic Applicaitons (2016) (0)
Proceedings : 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition : CVPR 2006 : June 17-22, 2006, New York, NY (2006) (0)
FAST INCREMENTAL LEARNING FOR AUTONOMOUS GROUND NAVIGATION (2015) (0)
Image and video coding—emerging standards and beyond (2001) (0)
Using curvature information to improve back-propagation (1988) (0)
Complex-valued convolutional networks yield data-driven multiscale windowed spectra (2015) (0)
S EPARATING THE W ORLD AND E GO M ODELS FOR S ELF -D RIVING (2022) (0)
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning (2022) (0)
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