Yann LeCun
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Computer scientist working in machine learning and computer vision, (1960 - ), France
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Computer Science
Why Is Yann LeCun Influential?
(Suggest an Edit or Addition)According to Wikipedia, Yann André LeCun is a Turing Award winning 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 Works
- Deep Learning (2015) (62354)
- Gradient-based learning applied to document recognition (1998) (41173)
- Backpropagation Applied to Handwritten Zip Code Recognition (1989) (9096)
- The mnist database of handwritten digits (2005) (5263)
- Convolutional networks for images, speech, and time series (1998) (4806)
- OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks (2013) (4704)
- Character-level Convolutional Networks for Text Classification (2015) (4269)
- Pattern Recognition and Neural Networks (1995) (4258)
- Optimal Brain Damage (1989) (3910)
- Dimensionality Reduction by Learning an Invariant Mapping (2006) (3809)
- Spectral Networks and Locally Connected Networks on Graphs (2013) (3462)
- Learning a similarity metric discriminatively, with application to face verification (2005) (3461)
- Handwritten Digit Recognition with a Back-Propagation Network (1989) (3306)
- Signature Verification Using A "Siamese" Time Delay Neural Network (1993) (3143)
- Efficient BackProp (2012) (2877)
- Learning Hierarchical Features for Scene Labeling (2013) (2589)
- Geometric Deep Learning: Going beyond Euclidean data (2016) (2460)
- Regularization of Neural Networks using DropConnect (2013) (2291)
- What is the best multi-stage architecture for object recognition? (2009) (2242)
- A Closer Look at Spatiotemporal Convolutions for Action Recognition (2017) (1959)
- Convolutional networks and applications in vision (2010) (1775)
- Deep multi-scale video prediction beyond mean square error (2015) (1656)
- Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation (2014) (1448)
- Learning methods for generic object recognition with invariance to pose and lighting (2004) (1442)
- Learning Fast Approximations of Sparse Coding (2010) (1383)
- Deep Convolutional Networks on Graph-Structured Data (2015) (1347)
- Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation (2014) (1345)
- Efficient Learning of Sparse Representations with an Energy-Based Model (2006) (1289)
- A Theoretical Analysis of Feature Pooling in Visual Recognition (2010) (1234)
- Scaling learning algorithms towards AI (2007) (1225)
- Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches (2015) (1170)
- Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition (2007) (1163)
- Efficient object localization using Convolutional Networks (2014) (1138)
- Learning mid-level features for recognition (2010) (1128)
- The Loss Surfaces of Multilayer Networks (2014) (1038)
- Energy-based Generative Adversarial Network (2016) (978)
- A Tutorial on Energy-Based Learning (2006) (971)
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction (2021) (967)
- Generalization and network design strategies (1989) (955)
- Sparse Feature Learning for Deep Belief Networks (2007) (876)
- Very Deep Convolutional Networks for Text Classification (2016) (857)
- Object Recognition with Gradient-Based Learning (1999) (854)
- Pedestrian Detection with Unsupervised Multi-stage Feature Learning (2012) (811)
- Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks (2014) (723)
- Traffic sign recognition with multi-scale Convolutional Networks (2011) (700)
- Comparison of learning algorithms for handwritten digit recognition (1995) (668)
- Computing the stereo matching cost with a convolutional neural network (2014) (664)
- Convolutional Learning of Spatio-temporal Features (2010) (664)
- Comparison of classifier methods: a case study in handwritten digit recognition (1994) (645)
- Entropy-SGD: biasing gradient descent into wide valleys (2016) (594)
- Efficient Pattern Recognition Using a New Transformation Distance (1992) (594)
- Learning Convolutional Feature Hierarchies for Visual Recognition (2010) (581)
- Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation (1996) (541)
- Off-Road Obstacle Avoidance through End-to-End Learning (2005) (539)
- Deep learning with Elastic Averaging SGD (2014) (536)
- Fast Training of Convolutional Networks through FFTs (2013) (529)
- Text Understanding from Scratch (2015) (511)
- Convolutional neural networks applied to house numbers digit classification (2012) (498)
- Learning algorithms for classification: A comparison on handwritten digit recognition (1995) (492)
- Disentangling factors of variation in deep representation using adversarial training (2016) (466)
- Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks (2018) (454)
- Handwritten digit recognition: applications of neural network chips and automatic learning (1989) (441)
- No more pesky learning rates (2012) (435)
- Improving the convergence of back-propagation learning with second-order methods (1989) (428)
- Large Scale Online Learning (2003) (428)
- Synergistic Face Detection and Pose Estimation with Energy-Based Models (2004) (421)
- Indoor Semantic Segmentation using depth information (2013) (415)
- Classification of patterns of EEG synchronization for seizure prediction (2009) (379)
- Boosting and Other Ensemble Methods (1994) (375)
- Measuring the VC-Dimension of a Learning Machine (1994) (374)
- Large-scale Learning with SVM and Convolutional for Generic Object Categorization (2006) (371)
- NeuFlow: A runtime reconfigurable dataflow processor for vision (2011) (361)
- Learning invariant features through topographic filter maps (2009) (353)
- CNP: An FPGA-based processor for Convolutional Networks (2009) (346)
- Fast Convolutional Nets With fbfft: A GPU Performance Evaluation (2014) (321)
- MDETR - Modulated Detection for End-to-End Multi-Modal Understanding (2021) (305)
- Ask the locals: Multi-way local pooling for image recognition (2011) (302)
- Very Deep Convolutional Networks for Natural Language Processing (2016) (301)
- Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network (1991) (300)
- Super-Resolution with Deep Convolutional Sufficient Statistics (2015) (293)
- VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning (2021) (287)
- High quality document image compression with "DjVu" (1998) (282)
- Toward automatic phenotyping of developing embryos from videos (2005) (272)
- Learning long‐range vision for autonomous off‐road driving (2009) (257)
- Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition (2010) (252)
- Improving generalization performance using double backpropagation (1992) (244)
- Adversarially Regularized Autoencoders (2017) (243)
- Stacked What-Where Auto-encoders (2015) (243)
- Hardware accelerated convolutional neural networks for synthetic vision systems (2010) (232)
- Transforming Neural-Net Output Levels to Probability Distributions (1990) (232)
- Road Scene Segmentation from a Single Image (2012) (227)
- Une procedure d'apprentissage pour reseau a seuil asymmetrique (A learning scheme for asymmetric threshold networks) (1985) (226)
- Very deep multilingual convolutional neural networks for LVCSR (2015) (223)
- Predicting Deeper into the Future of Semantic Segmentation (2017) (223)
- Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate (2010) (221)
- Deep learning for AI (2021) (220)
- The Need for Open Source Software in Machine Learning (2007) (219)
- Energy-based Generative Adversarial Networks (2016) (219)
- Tracking the World State with Recurrent Entity Networks (2016) (213)
- Effiicient BackProp (1996) (211)
- Handwritten zip code recognition with multilayer networks (1990) (208)
- Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers (2012) (207)
- Deep Learning Made Easier by Linear Transformations in Perceptrons (2012) (194)
- Multi-Digit Recognition Using a Space Displacement Neural Network (1991) (187)
- Design of a neural network character recognizer for a touch terminal (1991) (180)
- A theoretical framework for back-propagation (1988) (167)
- MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation (2014) (167)
- Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG (2008) (166)
- Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs (2016) (165)
- LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition (1995) (161)
- Transformation invariance in pattern recognition: Tangent distance and propagation (2000) (158)
- Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks (1998) (155)
- Learning Invariant Feature Hierarchies (2012) (151)
- Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics (2012) (147)
- Learning long-range vision for autonomous off-road driving (2009) (146)
- Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond (2016) (145)
- Application of the ANNA neural network chip to high-speed character recognition (1992) (145)
- The Loss Surface of Multilayer Networks (2014) (143)
- Loss Functions for Discriminative Training of Energy-Based Models (2005) (142)
- Unsupervised Learning of Spatiotemporally Coherent Metrics (2014) (135)
- Understanding Deep Architectures using a Recursive Convolutional Network (2013) (134)
- Unsupervised Learning of Sparse Features for Scalable Audio Classification (2011) (133)
- Large-Scale FPGA-based Convolutional Networks (2011) (129)
- Learning processes in an asymmetric threshold network (1986) (128)
- Learning to Linearize Under Uncertainty (2015) (128)
- Feature learning and deep architectures: new directions for music informatics (2013) (121)
- Automatic recognition of biological particles in microscopic images (2007) (120)
- A Unified Energy-Based Framework for Unsupervised Learning (2007) (118)
- Global training of document processing systems using graph transformer networks (1997) (117)
- Recurrent Orthogonal Networks and Long-Memory Tasks (2016) (116)
- Open Problem: The landscape of the loss surfaces of multilayer networks (2015) (115)
- Understanding Dimensional Collapse in Contrastive Self-supervised Learning (2021) (115)
- Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors (1992) (100)
- Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic (2019) (96)
- Second Order Properties of Error Surfaces: Learning Time and Generalization (1990) (96)
- NeuFlow: Dataflow vision processing system-on-a-chip (2012) (93)
- Deep belief net learning in a long-range vision system for autonomous off-road driving (2008) (92)
- Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models (1993) (92)
- Comparing dynamics: deep neural networks versus glassy systems (2018) (90)
- Image and video coding-emerging standards and beyond (1998) (88)
- The Mind of a Mouse (2020) (86)
- Statistical Machine Learning and Dissolved Gas Analysis: A Review (2012) (85)
- Predicting Future Instance Segmentations by Forecasting Convolutional Features (2018) (82)
- Signal recovery from Pooling Representations (2013) (82)
- Adversarially Regularized Autoencoders for Generating Discrete Structures (2017) (80)
- A Mathematical Motivation for Complex-Valued Convolutional Networks (2015) (80)
- 1.1 Deep Learning Hardware: Past, Present, and Future (2019) (73)
- Word-level training of a handwritten word recognizer based on convolutional neural networks (1994) (73)
- Discriminative Recurrent Sparse Auto-Encoders (2013) (73)
- DeSIGN: Design Inspiration from Generative Networks (2018) (68)
- Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing (2012) (67)
- Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields (2010) (66)
- An FPGA-based stream processor for embedded real-time vision with Convolutional Networks (2009) (64)
- Regularized estimation of image statistics by Score Matching (2010) (63)
- Explorations on high dimensional landscapes (2014) (58)
- Reading checks with multilayer graph transformer networks (1997) (56)
- Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean? (2017) (56)
- Constrained neural network for unconstrained handwritten digit recognition (1990) (56)
- On the applications of multimedia processing to communications (1998) (56)
- Structured sparse coding via lateral inhibition (2011) (55)
- Reading handwritten digits: a ZIP code recognition system (1992) (54)
- Deep learning & convolutional networks (2015) (53)
- Semantic Road Segmentation via Multi-scale Ensembles of Learned Features (2012) (53)
- Singularity of the Hessian in Deep Learning (2016) (51)
- Unsupervised Image Matching and Object Discovery as Optimization (2019) (49)
- DjVu: analyzing and compressing scanned documents for Internet distribution (1999) (49)
- Dynamic Factor Graphs for Time Series Modeling (2009) (49)
- A multirange architecture for collision‐free off‐road robot navigation (2009) (48)
- Learning in High Dimension Always Amounts to Extrapolation (2021) (48)
- Energy-Based Models in Document Recognition and Computer Vision (2007) (47)
- Convolutional Matching Pursuit and Dictionary Training (2010) (45)
- Decoupled Contrastive Learning (2021) (45)
- Handwritten character recognition using neural network architectures (1990) (42)
- 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) (41)
- Learning Stable Group Invariant Representations with Convolutional Networks (2013) (39)
- Mapping and planning under uncertainty in mobile robots with long-range perception (2008) (39)
- Boosting and Other Machine Learning Algorithms (1994) (39)
- Saturating Auto-Encoders (2013) (38)
- Fast Approximations to Structured Sparse Coding and Applications to Object Classification (2012) (37)
- 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) (36)
- Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods (2022) (36)
- Dynamic auto-encoders for semantic indexing (2010) (35)
- Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability (2007) (35)
- Binary embeddings with structured hashed projections (2015) (34)
- Unsupervised Feature Learning from Temporal Data (2015) (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)
- Model-Based Planning with Discrete and Continuous Actions (2017) (32)
- Deep learning, reinforcement learning, and world models (2022) (31)
- A Spectral Regularizer for Unsupervised Disentanglement (2018) (30)
- Discovering the hidden structure of house prices with a non-parametric latent manifold model (2007) (29)
- Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch (2002) (29)
- Writer independent and writer adaptive neural network for on-line character recognition (1992) (29)
- Machine Learning and the Spatial Structure of House Prices and Housing Returns (2008) (28)
- Augmented Language Models: a Survey (2023) (27)
- Differentially- and non-differentially-private random decision trees (2014) (27)
- Memory-based character recognition using a transformation invariant metric (1994) (27)
- A Path Towards Autonomous Machine Intelligence Version 0.9.2, 2022-06-27 (2022) (27)
- Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities (2013) (27)
- Guest Editorial: Deep Learning (2015) (26)
- Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients (2013) (26)
- A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images (2007) (26)
- GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection (1988) (26)
- Universum Prescription: Regularization Using Unlabeled Data (2015) (25)
- Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation (2007) (24)
- The Effects of Regularization and Data Augmentation are Class Dependent (2022) (24)
- The Power and Limits of Deep Learning (2018) (24)
- Reverse TDNN: An Architecture For Trajectory Generation (1991) (24)
- Prediction Under Uncertainty with Error-Encoding Networks (2017) (24)
- Reassessing FHA Risk (2010) (24)
- 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) (23)
- Word normalization for online handwritten word recognition (1994) (23)
- Learning about an exponential amount of conditional distributions (2019) (23)
- COMPARISON OF LEARNING ALGORITHMS FOR (1995) (23)
- Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone (2022) (23)
- Causal graph-based video segmentation (2013) (23)
- Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution (2022) (22)
- A hierarchical loss and its problems when classifying non-hierarchically (2017) (22)
- Discriminative feature and model design for automatic speech recognition (1997) (22)
- A general segmentation scheme for DjVu document compression (2002) (22)
- Fast Approximation of Rotations and Hessians matrices (2014) (22)
- VICRegL: Self-Supervised Learning of Local Visual Features (2022) (21)
- GLoMo: Unsupervised Learning of Transferable Relational Graphs (2018) (21)
- On the duality between contrastive and non-contrastive self-supervised learning (2022) (20)
- PROC OF THE IEEE NOVEMBER Gradient Based Learning Applied to Document Recognition (2006) (20)
- Unsupervised Learning of Feature Hierarchies (2009) (20)
- An efficient algorithm for learning invariance in adaptive classifiers (1992) (20)
- Implicit Rank-Minimizing Autoencoder (2020) (19)
- Memoires associatives distribuees: Une comparaison (Distributed associative memories: A comparison) (1987) (19)
- Adaptive long range vision in unstructured terrain (2007) (19)
- Browsing through high quality document images with DjVu (1998) (18)
- Hierarchical loss for classification (2017) (17)
- Model-Based Planning in Discrete Action Spaces (2017) (17)
- Learning Representations by Maximizing Compression (2011) (16)
- Inspirational Adversarial Image Generation (2019) (16)
- Graph transformer networks for image recognition (2005) (16)
- E cient Learning of Sparse Overcomplete Representations with an Energy-Based Model (2006) (15)
- Automatic Learning Rate Maximization in Large Adaptive Machines (1992) (15)
- Toward real-time indoor semantic segmentation using depth information (2014) (15)
- Learning maneuver dictionaries for ground robot planning (2008) (15)
- A multi-range vision strategy for autonomous offroad navigation (2007) (15)
- Sn: A simulator for connectionist models (1988) (15)
- High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications (2015) (15)
- Source separation with scattering Non-Negative Matrix Factorization (2015) (14)
- Color documents on the Web with DjVu (1999) (13)
- Masked Siamese ConvNets (2022) (13)
- Guest Editorial Applications Of Artificial Neural Networks To Image Processing (1998) (13)
- Hybrid hessians for flexible optimization of pose graphs (2010) (13)
- Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors (2021) (13)
- On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks (1993) (12)
- Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014 (2014) (12)
- Hardware requirements for neural-net optical character recognition (1990) (12)
- Real-time adaptive off-road vehicle navigation and terrain classification (2013) (11)
- Neural Network Applications in Character Recognition and Document Analysis (1994) (11)
- A time delay neural network character recognizer for a touch terminal (1990) (11)
- Neural Manifold Clustering and Embedding (2022) (11)
- Natural Versus "universal" Probability, Complexity, And Entropy (1992) (11)
- Efficient conversion of digital documents to multilayer raster formats (2001) (10)
- projUNN: efficient method for training deep networks with unitary matrices (2022) (10)
- A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments (2022) (10)
- Second Order Properties of Error Surfaces (1990) (9)
- SPEED-RANGE DILEMMAS FOR VISION-BASED NAVIGATION IN UNSTRUCTURED TERRAIN (2007) (9)
- On the application of multimedia processing to telecommunications (1997) (9)
- Universal halting times in optimization and machine learning (2015) (9)
- DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet (1998) (9)
- Saturating Auto-Encoder (2013) (9)
- A theoretical argument for complex-valued convolutional networks (2015) (9)
- Efficient off-road localization using visually corrected odometry (2009) (8)
- Backpropagation for Implicit Spectral Densities (2018) (8)
- Constrained neural networks for pattern recognition (1991) (8)
- Simultaneous Learning of Trees and Representations for Extreme Classification, with Application to Language Modeling (2016) (8)
- The NIPS workshop on Deep Learning and Unsupervised Feature Learning (2011) (8)
- Learning in Informal Settings (2012) (8)
- Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding (2022) (8)
- A neural network approach to handprint character recognition (1991) (8)
- Hardware accelerated visual attention algorithm (2011) (7)
- Light-weight probing of unsupervised representations for Reinforcement Learning (2022) (7)
- RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank (2022) (7)
- Fast Incremental Learning for Off-Road Robot Navigation (2016) (6)
- Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture (2023) (6)
- Catalyzing next-generation Artificial Intelligence through NeuroAI (2023) (6)
- Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors (2022) (6)
- Universality in halting time and its applications in optimization (2015) (6)
- Efficient Learning of Sparse Invariant Representations (2011) (6)
- Factor Graphs for Relational Regression (2008) (5)
- Learning and Development After School (2012) (5)
- What Do We Maximize in Self-Supervised Learning? (2022) (5)
- Neural Potts Model (2021) (5)
- Deep learning with elastic averaging SGD: 3rd International Conference on Learning Representations, ICLR 2015 (2015) (5)
- Sparse Coding with Multi-Layer Decoders using Variance Regularization (2021) (5)
- On-line handwriting recognition with neural networks: Spatial representation versus temporal representation (1993) (5)
- Audio Source Separation with Discriminative Scattering Networks (2014) (4)
- Recurrent Parameter Generators (2021) (4)
- Minimalistic Unsupervised Learning with the Sparse Manifold Transform (2022) (4)
- Joint Embedding Self-Supervised Learning in the Kernel Regime (2022) (4)
- 1 Efficient BackProp (2012) (4)
- Neural Networks and Gradient-Based Learning in OCR (1997) (4)
- Separating the World and Ego Models for Self-Driving (2022) (4)
- Time Series Modeling with Hidden Variables and Gradient-Based Algorithms (2010) (4)
- Bio-Inspired Vision Processor for Ultra-Fast Object Categorization (2010) (3)
- Indoor semantic segmentation using depth information: 1st International Conference on Learning Representations, ICLR 2013 (2013) (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)
- Byte-Level Recursive Convolutional Auto-Encoder for Text (2018) (3)
- DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals (2013) (3)
- Learning with Reflective Likelihoods (2018) (3)
- Unsupervised Learning of Structured Representations via Closed-Loop Transcription (2022) (3)
- The bottlenecks in human letter recognition: a computational model (2014) (3)
- POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks (2022) (2)
- Multimedia Processing for Advanced Communications Services (1999) (2)
- Learning Feature Hierarchies for Object Recognition (2010) (2)
- Generalization using back-propagation (1987) (2)
- Marathi Handwritten Numeral Recognition using Fourier Descriptors and Normalized Chain Code (2017) (2)
- Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations (2022) (2)
- Workshop summary: Workshop on learning feature hierarchies (2009) (2)
- Learning from Text (2012) (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 Through the Breach: Language Socialization (2012) (2)
- OPTICAL CHARACTER RECOGNTION FOR AUTOMATIC TELLER MACHINES (1998) (2)
- On-Line Learning of Long-Range Obstacle Detection for Off-Road Robots (2006) (2)
- TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning (2022) (2)
- No More Pesky Learning Rates : Supplementary Material (2013) (2)
- Learning Long-Range Vision for an Offroad Robot (2008) (1)
- Learning on automata networks (1987) (1)
- A Cookbook of Self-Supervised Learning (2023) (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)
- Computeur Vision and Pattern Recognition (CVPR). Conference (2008) (1)
- Compact and Optimal Deep Learning with Recurrent Parameter Generators (2021) (1)
- A Generalization of ViT/MLP-Mixer to Graphs (2022) (1)
- Pattern Recognition (1998) (1)
- High-Accuracy Object Recognition with a New Convolutional Net Architecture and Learning Algorithm (2009) (1)
- Joint Embedding Predictive Architectures Focus on Slow Features (2022) (1)
- Self-supervised learning of Split Invariant Equivariant representations (2023) (1)
- Discriminative recurrent sparse auto-encoders: 1st International Conference on Learning Representations, ICLR 2013 (2013) (1)
- The SSL Interplay: Augmentations, Inductive Bias, and Generalization (2023) (1)
- Saturating auto-encoders: International Conference on Learning Representations, ICLR 2013 (2013) (1)
- An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization (2023) (1)
- Predicting transportpath degradation/failure based on recent performance history (1994) (0)
- Image and video coding—emerging standards and beyond (2001) (0)
- FAST INCREMENTAL LEARNING FOR AUTONOMOUS GROUND NAVIGATION (2015) (0)
- Building Artificial Vision Systems with Machine Learning (2011) (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)
- Concerto for violin and Markov model (2011) (0)
- + YY ’ Z X-Residual Prediction Error TargetPredictionObservation Latent 0 State φ f 1 f 2 (2017) (0)
- Complex-valued convolutional networks yield data-driven multiscale windowed spectra (2015) (0)
- User manual: SN: A simulator for connectionist models (1988) (0)
- Blockwise Self-Supervised Learning at Scale (2023) (0)
- Jean piaget theory in punjabi pdf (2020) (0)
- Flexible-Cost SLAM (2012) (0)
- To Compress or Not to Compress - Self-Supervised Learning and Information Theory: A Review (2023) (0)
- Learning Sparse and Invariant Features Hierarchies (2007) (0)
- Marathi Handwritten Numeral Recognition using Zernike Moments and Fourier Descriptors (2020) (0)
- AISTAT AISTATS Fifteenth International Conference on Artificial Intelligence and Statistics (AISTAT 2012) AISTAT AISTATS, La Palma, Canary Islands, April 21-23, 2012 (2012) (0)
- Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need (2023) (0)
- Sticky Reasoning within Learning Representations (2019) (0)
- Global Map Long Range Vision ( FAROD ) Cameras Vehicle Map Global planner Route to goal Global Map Goal Local candidates (2007) (0)
- Optimization of Artificial Neural Network Hyperparameters For Processing Retrospective Information (2021) (0)
- Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation (2018) (0)
- Advances in neural information processing systems: Proceedings of the first 12 conferences (CDROM) (2001) (0)
- Invariant Feature Learning on a Mobile Robot (2008) (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)
- VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment (2022) (0)
- Device for recognizing mark (1993) (0)
- AAAI Workshop - Technical Report: Preface (2013) (0)
- Feature learning and deep architectures: new directions for music informatics (2013) (0)
- Proceedings of the International Computer Music Conference 2016 A Fluid Chord Voicing Generator (2017) (0)
- What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? (2016) (0)
- Editorial (2008) (0)
- Unsupervised Learning of Sparse and Invariant Features Hierarchies (1998) (0)
- Building an Automatic Phenotyping System of Developing Embryos (2006) (0)
- Learning Goals: (2020) (0)
- Proceedings : 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition : CVPR 2006 : June 17-22, 2006, New York, NY (2006) (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)
- S EPARATING THE W ORLD AND E GO M ODELS FOR S ELF -D RIVING (2022) (0)
- Message from the Program and General Chairs (2006) (0)
- Device for recognizing mark and method for the same (1993) (0)
- General Information Registration & Reception (0)
- Handwritten Digit Recognition Using TensorFlow Lite Micro on i.MX RT devices (2021) (0)
- Using curvature information to improve back-propagation (1988) (0)
- REASSESSING FHA RISK 1 (2010) (0)
- DCL System Research Using Advanced Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals (2012) (0)
- Neural Information Processing (ICONIP 2013) (2013) (0)
- EMP-SSL: Towards Self-Supervised Learning in One Training Epoch (2023) (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)
- Inspirational adversarial image generation Exploring the latent space of GANs (2019) (0)
- COMPARISONOFLEARNING ALGORITHMS FORHANDWRITTEN DIGIT RECOGNITION (1995) (0)
- Autonomous Learning for Long Range Vision in Mobile Robots (2008) (0)
- A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training (2022) (0)
- Assignment 2 - Deep Learning with Sparse Coding (2013) (0)
- Universality in halting time (2017) (0)
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