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

Why Is Yann LeCun Influential?

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.

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 (33368)
Backpropagation Applied to Handwritten Zip Code Recognition (7398)
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks (4208)
The mnist database of handwritten digits (4084)
Pattern Recognition and Neural Networks (3890)
Convolutional networks for images, speech, and time series (3857)
Optimal Brain Damage (3344)
Character-level Convolutional Networks for Text Classification (3159)
Handwritten Digit Recognition with a Back-Propagation Network (2820)
Learning a similarity metric discriminatively, with application to face verification (2736)
Dimensionality Reduction by Learning an Invariant Mapping (2700)
Spectral Networks and Locally Connected Networks on Graphs (2571)
Efficient BackProp (2534)
Signature Verification Using A "Siamese" Time Delay Neural Network (2448)
Learning Hierarchical Features for Scene Labeling (2335)
What is the best multi-stage architecture for object recognition? (2030)
Regularization of Neural Networks using DropConnect (1993)
Geometric Deep Learning: Going beyond Euclidean data (1820)
Convolutional networks and applications in vision (1489)
Deep multi-scale video prediction beyond mean square error (1414)
Learning methods for generic object recognition with invariance to pose and lighting (1263)
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation (1202)
A Closer Look at Spatiotemporal Convolutions for Action Recognition (1200)
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation (1150)
Efficient Learning of Sparse Representations with an Energy-Based Model (1148)
Deep Convolutional Networks on Graph-Structured Data (1101)
A Theoretical Analysis of Feature Pooling in Visual Recognition (1095)
Scaling learning algorithms towards AI (1095)
Learning mid-level features for recognition (1079)
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition (1077)
Learning Fast Approximations of Sparse Coding (1058)
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches (968)
The Loss Surfaces of Multilayer Networks (916)
Efficient object localization using Convolutional Networks (909)
Energy-based Generative Adversarial Network (841)
Generalization and network design strategies (833)
Sparse Feature Learning for Deep Belief Networks (790)
Pedestrian Detection with Unsupervised Multi-stage Feature Learning (763)
A Tutorial on Energy-Based Learning (722)
Very Deep Convolutional Networks for Text Classification (700)
Object Recognition with Gradient-Based Learning (683)
Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks (648)
Traffic sign recognition with multi-scale Convolutional Networks (632)
Comparison of learning algorithms for handwritten digit recognition (623)
Convolutional Learning of Spatio-temporal Features (619)
Efficient Pattern Recognition Using a New Transformation Distance (582)
Computing the stereo matching cost with a convolutional neural network (575)
Comparison of classifier methods: a case study in handwritten digit recognition (570)
Learning Convolutional Feature Hierarchies for Visual Recognition (550)
Text Understanding from Scratch (469)
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys (463)
Deep learning with Elastic Averaging SGD (462)
Off-Road Obstacle Avoidance through End-to-End Learning (460)
Convolutional neural networks applied to house numbers digit classification (435)
Fast Training of Convolutional Networks through FFTs (434)
Learning algorithms for classification: A comparison on handwritten digit recognition (416)
Synergistic Face Detection and Pose Estimation with Energy-Based Models (408)
Improving the convergence of back-propagation learning with second-order methods (402)
No more pesky learning rates (396)
Large Scale Online Learning (390)
Disentangling factors of variation in deep representation using adversarial training (388)
Indoor Semantic Segmentation using depth information (361)
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation (358)
Handwritten digit recognition: applications of neural network chips and automatic learning (356)
Boosting and Other Ensemble Methods (353)
Classification of patterns of EEG synchronization for seizure prediction (347)
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks (346)
Measuring the VC-Dimension of a Learning Machine (345)
NeuFlow: A runtime reconfigurable dataflow processor for vision (343)
Large-scale Learning with SVM and Convolutional for Generic Object Categorization (341)
CNP: An FPGA-based processor for Convolutional Networks (321)
Learning invariant features through topographic filter maps (310)
Ask the locals: Multi-way local pooling for image recognition (289)
Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network (281)
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation (279)
High quality document image compression with "DjVu" (276)
Very Deep Convolutional Networks for Natural Language Processing (260)
Toward automatic phenotyping of developing embryos from videos (256)
Super-Resolution with Deep Convolutional Sufficient Statistics (245)
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition (244)
Une procedure d'apprentissage pour reseau a seuil asymmetrique (A learning scheme for asymmetric threshold networks) (230)
Barlow Twins: Self-Supervised Learning via Redundancy Reduction (230)
Stacked What-Where Auto-encoders (229)
Hardware accelerated convolutional neural networks for synthetic vision systems (220)
Improving generalization performance using double backpropagation (212)
Road Scene Segmentation from a Single Image (210)
Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate (207)
Effiicient BackProp (206)
Adversarially Regularized Autoencoders (204)
Very deep multilingual convolutional neural networks for LVCSR (203)
Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers (203)
Learning long-range vision for autonomous off-road driving (200)
The Need for Open Source Software in Machine Learning (199)
Energy-based Generative Adversarial Networks (197)
Transforming Neural-Net Output Levels to Probability Distributions (193)
Handwritten zip code recognition with multilayer networks (186)
A theoretical framework for back-propagation (184)
Multi-Digit Recognition Using a Space Displacement Neural Network (180)
Predicting Deeper into the Future of Semantic Segmentation (179)
Design of a neural network character recognizer for a touch terminal (178)
Learning long-range vision for autonomous off-road driving (176)
Deep Learning Made Easier by Linear Transformations in Perceptrons (175)
Tracking the World State with Recurrent Entity Networks (172)
Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG (155)
Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks (150)
LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition (150)
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation (144)
Learning Invariant Feature Hierarchies (139)
Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation (137)
Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics (137)
Application of the ANNA neural network chip to high-speed character recognition (135)
Loss Functions for Discriminative Training of Energy-Based Models (134)
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs (133)
The Loss Surface of Multilayer Networks (132)
Unsupervised Learning of Sparse Features for Scalable Audio Classification (129)
Learning processes in an asymmetric threshold network (124)
Understanding Deep Architectures using a Recursive Convolutional Network (124)
Large-Scale FPGA-based Convolutional Networks (117)
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond (115)
Automatic recognition of biological particles in microscopic images (115)
Global training of document processing systems using graph transformer networks (115)
Feature learning and deep architectures: new directions for music informatics (113)
Unsupervised Learning of Spatiotemporally Coherent Metrics (111)
Learning to Linearize Under Uncertainty (109)
Open Problem: The landscape of the loss surfaces of multilayer networks (106)
Recurrent Orthogonal Networks and Long-Memory Tasks (100)
Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors (96)
Deep belief net learning in a long-range vision system for autonomous off-road driving (91)
A Unified Energy-Based Framework for Unsupervised Learning (91)
Second Order Properties of Error Surfaces: Learning Time and Generalization (89)
NeuFlow: Dataflow vision processing system-on-a-chip (85)
Image and video coding-emerging standards and beyond (85)
Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models (84)
Adversarially Regularized Autoencoders for Generating Discrete Structures (76)
Signal recovery from Pooling Representations (73)
Comparing Dynamics: Deep Neural Networks versus Glassy Systems (70)
Word-level training of a handwritten word recognizer based on convolutional neural networks (68)
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic (66)
Discriminative Recurrent Sparse Auto-Encoders (64)
Learning invariant features through topographic filter maps (63)
Deep learning for AI (63)
Statistical Machine Learning and Dissolved Gas Analysis: A Review (63)
Predicting Future Instance Segmentations by Forecasting Convolutional Features (61)
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields (61)
Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing (60)
An FPGA-based stream processor for embedded real-time vision with Convolutional Networks (60)
A Mathematical Motivation for Complex-Valued Convolutional Networks (58)
Regularized estimation of image statistics by Score Matching (56)
1.1 Deep Learning Hardware: Past, Present, and Future (56)
Structured sparse coding via lateral inhibition (56)
Explorations on high dimensional landscapes (55)
On the applications of multimedia processing to communications (55)
Constrained neural network for unconstrained handwritten digit recognition (54)
Reading handwritten digits: a ZIP code recognition system (52)
Reading checks with multilayer graph transformer networks (52)
The Mind of a Mouse (50)
Dynamic Factor Graphs for Time Series Modeling (49)
DeSIGN: Design Inspiration from Generative Networks (49)
DjVu: analyzing and compressing scanned documents for Internet distribution (48)
Semantic Road Segmentation via Multi-scale Ensembles of Learned Features (47)
Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean? (45)
Singularity of the Hessian in Deep Learning (45)
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding (43)
Convolutional Matching Pursuit and Dictionary Training (42)
Deep learning & convolutional networks (42)
Word normalization for on-line handwritten word recognition (41)
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning (41)
Learning Stable Group Invariant Representations with Convolutional Networks (40)
Orthogonal RNNs and Long-Memory Tasks (39)
Hardware requirements for neural network pattern classifiers: a case study and implementation (39)
Boosting and Other Machine Learning Algorithms (37)
Mapping and planning under uncertainty in mobile robots with long-range perception (36)
Globally trained handwritten word recognizer using spatial representation, space displacement neural networks and hidden Markov models (36)
Handwritten character recognition using neural network architectures (36)
Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning (36)
Transformation invariance in pattern recognition: Tangent distance and propagation (35)
Fast Approximations to Structured Sparse Coding and Applications to Object Classification (35)
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability (35)
Saturating Auto-Encoders (34)
Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos (34)
A multirange architecture for collision-free off-road robot navigation (33)
EBLearn: Open-Source Energy-Based Learning in C++ (33)
Dynamic auto-encoders for semantic indexing (31)
Unsupervised Feature Learning from Temporal Data (31)
Off Line Recognition of Handwritten Postal Words Using Neural Networks (31)
Binary embeddings with structured hashed projections (31)
Unsupervised Image Matching and Object Discovery as Optimization (30)
Writer independent and writer adaptive neural network for on-line character recognition (30)
Discovering the hidden structure of house prices with a non-parametric latent manifold model (29)
Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch (28)
Reassessing FHA Risk (28)
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations (28)
Machine Learning and the Spatial Structure of House Prices and Housing Returns (26)
Memory-based character recognition using a transformation invariant metric (26)
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients (25)
Differentially- and non-differentially-private random decision trees (25)
Energy-Based Models in Document Recognition and Computer Vision (24)
Reverse TDNN: An Architecture For Trajectory Generation (24)
Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation (24)
Model-Based Planning with Discrete and Continuous Actions (24)
Causal graph-based video segmentation (24)
A general segmentation scheme for DjVu document compression (22)
Guest Editorial: Deep Learning (22)
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities (22)
Word normalization for online handwritten word recognition (22)
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 (22)
GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection (22)
Energy-Based Models in Document Recognition and Computer Vision (22)
Discriminative feature and model design for automatic speech recognition (21)
An efficient algorithm for learning invariance in adaptive classifiers (21)
COMPARISON OF LEARNING ALGORITHMS FOR (21)
A multirange architecture for collision-free off-road robot navigation (21)
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images (20)
Unsupervised learning of feature hierarchies (20)
Universum Prescription: Regularization Using Unlabeled Data (19)
Learning about an exponential amount of conditional distributions (19)
The Power and Limits of Deep Learning (19)
Fast Approximation of Rotations and Hessians matrices (19)
Hierarchical loss for classification (17)
Adaptive long range vision in unstructured terrain (17)
A Spectral Regularizer for Unsupervised Disentanglement (17)
Browsing through high quality document images with DjVu (17)
GLoMo: Unsupervised Learning of Transferable Relational Graphs (16)
Memoires associatives distribuees: Une comparaison (Distributed associative memories: A comparison) (16)
A multi-range vision strategy for autonomous offroad navigation (16)
Learning Representations by Maximizing Compression (16)
Graph transformer networks for image recognition (16)
Learning maneuver dictionaries for ground robot planning (16)
Prediction Under Uncertainty with Error-Encoding Networks (15)
Model-Based Planning in Discrete Action Spaces (15)
Automatic Learning Rate Maximization in Large Adaptive Machines (15)
Sn: A simulator for connectionist models (15)
E cient Learning of Sparse Overcomplete Representations with an Energy-Based Model (15)
A hierarchical loss and its problems when classifying non-hierarchically (14)
Source separation with scattering Non-Negative Matrix Factorization (14)
PROC OF THE IEEE NOVEMBER Gradient Based Learning Applied to Document Recognition (14)
Toward real-time indoor semantic segmentation using depth information (14)
Guest Editorial Applications Of Artificial Neural Networks To Image Processing (13)
High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications (13)
Color documents on the Web with DjVu (13)
Hardware requirements for neural-net optical character recognition (12)
Hybrid hessians for flexible optimization of pose graphs (12)
On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks (11)
A time delay neural network character recognizer for a touch terminal (11)
Natural Versus "universal" Probability, Complexity, And Entropy (11)
Efficient conversion of digital documents to multilayer raster formats (10)
Real-time adaptive off-road vehicle navigation and terrain classification (10)
Saturating Auto-Encoder (9)
Implicit Rank-Minimizing Autoencoder (9)
SPEED-RANGE DILEMMAS FOR VISION-BASED NAVIGATION IN UNSTRUCTURED TERRAIN (9)
DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet (9)
Understanding Dimensional Collapse in Contrastive Self-supervised Learning (8)
Inspirational Adversarial Image Generation (8)
Neural Network Applications in Character Recognition and Document Analysis (8)
Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014 (8)
Learning in Informal Settings (8)
Second Order Properties of Error Surfaces (8)
A theoretical argument for complex-valued convolutional networks (8)
A neural network approach to handprint character recognition (8)
On the application of multimedia processing to telecommunications (8)
Learning in High Dimension Always Amounts to Extrapolation (8)
Simultaneous Learning of Trees and Representations for Extreme Classification, with Application to Language Modeling (7)
Backpropagation for Implicit Spectral Densities (7)
Efficient off-road localization using visually corrected odometry (7)
Hardware accelerated visual attention algorithm (7)
1 Efficient BackProp (7)
Constrained neural networks for pattern recognition (7)
Universal halting times in optimization and machine learning (7)
Fast Incremental Learning for Off-Road Robot Navigation (6)
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors (6)
Universality in halting time and its applications in optimization (6)
Learning and Development After School (6)
Efficient Learning of Sparse Invariant Representations (6)
Factor graphs for relational regression (5)
Time series modeling with hidden variables and gradient-based algorithms (5)
On-line handwriting recognition with neural networks: Spatial representation versus temporal representation (5)
Audio Source Separation with Discriminative Scattering Networks (4)
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images (4)
Neural Networks and Gradient-Based Learning in OCR (4)
Neural Potts Model (3)
The NIPS workshop on Deep Learning and Unsupervised Feature Learning (3)
Bio-Inspired Vision Processor for Ultra-Fast Object Categorization (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) (3)
Byte-Level Recursive Convolutional Auto-Encoder for Text (3)
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 (3)
The bottlenecks in human letter recognition: a computational model (2)
Workshop summary: Workshop on learning feature hierarchies (2)
No More Pesky Learning Rates : Supplementary Material (2)
Generalization using back-propagation (2)
OPTICAL CHARACTER RECOGNTION FOR AUTOMATIC TELLER MACHINES (2)
Marathi Handwritten Numeral Recognition using Fourier Descriptors and Normalized Chain Code (2)
On-Line Learning of Long-Range Obstacle Detection for Off-Road Robots (2)
Learning feature hierarchies for object recognition (2)
Pattern Recognition (2)
Learning from Text (2)
DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals (2)
Learning with Reflective Likelihoods (2)
Multimedia Processing for Advanced Communications Services (2)
Deep learning with elastic averaging SGD: 3rd International Conference on Learning Representations, ICLR 2015 (1)
Learning on automata networks (1)
Computeur Vision and Pattern Recognition (CVPR). Conference (1)
Design Inspiration from Generative Networks (1)
Learning long-range vision for an offroad robot (1)
Decoupled Contrastive Learning (1)
Indoor semantic segmentation using depth information: 1st International Conference on Learning Representations, ICLR 2013 (1)
High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm (1)
Saturating auto-encoders: International Conference on Learning Representations, ICLR 2013 (1)
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting (1)
Optimization of Artificial Neural Network Hyperparameters For Processing Retrospective Information (0)
Jean piaget theory in punjabi pdf (0)
Proceedings of the International Computer Music Conference 2016 A Fluid Chord Voicing Generator (0)
Marathi Handwritten Numeral Recognition using Zernike Moments and Fourier Descriptors (0)
AAAI Workshop - Technical Report: Preface (0)
Building an automatic phenotyping system of developing embryos (0)
Learning Through the Breach: Language Socialization (0)
Neural Manifold Clustering and Embedding (0)
+ YY ’ Z X-Residual Prediction Error TargetPredictionObservation Latent 0 State φ f 1 f 2 (0)
Message from the Program and General Chairs (0)
Message from the Program and General Chairs (0)
COMPARISONOFLEARNING ALGORITHMS FORHANDWRITTEN DIGIT RECOGNITION (0)
Inspirational adversarial image generation Exploring the latent space of GANs (0)
Complex-valued convolutional networks yield data-driven multiscale windowed spectra (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 (0)
AISTAT AISTATS Fifteenth International Conference on Artificial Intelligence and Statistics (AISTAT 2012) AISTAT AISTATS, La Palma, Canary Islands, April 21-23, 2012 (0)
Flexible-cost slam (0)
Image and video coding—emerging standards and beyond (0)
Energy-Based Factor Graphs for Prediction in Relational Data (0)
Sparse Coding with Multi-Layer Decoders using Variance Regularization (0)
Unsupervised Learning of Sparse and Invariant Features Hierarchies (0)
What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? (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 (0)
Concerto for violin and Markov model (0)
Autonomous Learning for Long Range Vision in Mobile Robots (0)
Global Map Long Range Vision ( FAROD ) Cameras Vehicle Map Global planner Route to goal Global Map Goal Local candidates (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 (0)
FAST INCREMENTAL LEARNING FOR AUTONOMOUS GROUND NAVIGATION (0)
DCL System Research Using Advanced Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals (0)
Recurrent Parameter Generators (0)
REASSESSING FHA RISK 1 (0)
Predicting transportpath degradation/failure based on recent performance history (0)
Building Artificial Vision Systems with Machine Learning (0)
Assignment 2 - Deep Learning with Sparse Coding (0)
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments (0)
Discriminative recurrent sparse auto-encoders: 1st International Conference on Learning Representations, ICLR 2013 (0)
User manual: SN: A simulator for connectionist models (0)
Sticky Reasoning within Learning Representations (0)
Proceedings : 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition : CVPR 2006 : June 17-22, 2006, New York, NY (0)
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation (0)
Device for recognizing mark and method for the same (0)
Universality in halting time (0)
Editorial (0)
Device for recognizing mark (0)
Invariant Feature Learning on a Mobile Robot (0)
Advances in neural information processing systems: Proceedings of the first 12 conferences (CDROM) (0)
Using curvature information to improve back-propagation (0)
Learning Sparse and Invariant Features Hierarchies (0)
Handwritten Digit Recognition Using TensorFlow Lite Micro on i.MX RT devices (0)
General Information Registration & Reception (0)
Neural Information Processing (ICONIP 2013) (0)