Jürgen Schmidhuber
#770
Most Influential Person
German computer scientist and artificial intelligence researcher
Why Is Jürgen Schmidhuber Influential?
(Suggest an Edit or Addition)According to Wikipedia, Jürgen Schmidhuber is a German computer scientist most noted for his work in the field of artificial intelligence, deep learning and artificial neural networks. He is a co-director of the Dalle Molle Institute for Artificial Intelligence Research in Lugano, in Ticino in southern Switzerland. Following Google Scholar, from 2016 to 2021 he has received more than 100,000 scientific citations. He has been referred to as "father of modern AI," "father of AI," "dad of mature AI," "Papa" of famous AI products, "Godfather," and "father of deep learning."
Jürgen Schmidhuber'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
- Long Short-Term Memory (1997) (59099)
- Deep learning in neural networks: An overview (2014) (12983)
- Learning to Forget: Continual Prediction with LSTM (2000) (4989)
- Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks (2006) (4015)
- LSTM: A Search Space Odyssey (2015) (3771)
- Framewise phoneme classification with bidirectional LSTM and other neural network architectures (2005) (3705)
- Multi-column deep neural networks for image classification (2012) (3603)
- A Novel Connectionist System for Unconstrained Handwriting Recognition (2009) (1693)
- Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction (2011) (1620)
- Training Very Deep Networks (2015) (1436)
- Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks (2013) (1394)
- Learning Precise Timing with LSTM Recurrent Networks (2003) (1371)
- Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images (2012) (1309)
- Flexible, High Performance Convolutional Neural Networks for Image Classification (2011) (1260)
- Highway Networks (2015) (1248)
- Multi-column deep neural network for traffic sign classification (2012) (960)
- Deep, Big, Simple Neural Nets for Handwritten Digit Recognition (2010) (915)
- Modeling attacks on physical unclonable functions (2010) (814)
- LSTM can Solve Hard Long Time Lag Problems (1996) (719)
- Natural Evolution Strategies (2008) (668)
- Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition (2005) (651)
- Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010) (2010) (650)
- LSTM recurrent networks learn simple context-free and context-sensitive languages (2001) (636)
- Flat Minima (1997) (603)
- A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots (2016) (574)
- Recurrent nets that time and count (2000) (548)
- Recurrent World Models Facilitate Policy Evolution (2018) (547)
- Convolutional Neural Network Committees for Handwritten Character Classification (2011) (469)
- Max-pooling convolutional neural networks for vision-based hand gesture recognition (2011) (462)
- Learning Complex, Extended Sequences Using the Principle of History Compression (1992) (453)
- A possibility for implementing curiosity and boredom in model-building neural controllers (1991) (431)
- Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition (2010) (428)
- PUF Modeling Attacks on Simulated and Silicon Data (2013) (424)
- Framewise phoneme classification with bidirectional LSTM networks (2005) (420)
- A Clockwork RNN (2014) (420)
- Applying LSTM to Time Series Predictable through Time-Window Approaches (2000) (397)
- World Models (2018) (393)
- A committee of neural networks for traffic sign classification (2011) (370)
- Recurrent Highway Networks (2016) (369)
- Assessment of algorithms for mitosis detection in breast cancer histopathology images (2014) (366)
- Accelerated Neural Evolution through Cooperatively Coevolved Synapses (2008) (323)
- Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks (1992) (318)
- Fast image scanning with deep max-pooling convolutional neural networks (2013) (317)
- Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts (2006) (280)
- High-Performance Neural Networks for Visual Object Classification (2011) (277)
- Multi-dimensional Recurrent Neural Networks (2007) (269)
- Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation (2015) (268)
- Training Recurrent Networks by Evolino (2007) (254)
- A First Look at Music Composition using LSTM Recurrent Neural Networks (2002) (246)
- An Application of Recurrent Neural Networks to Discriminative Keyword Spotting (2007) (244)
- An experiment in automatic game design (2008) (243)
- Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions (2018) (241)
- Deep Networks with Internal Selective Attention through Feedback Connections (2014) (240)
- Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks (2007) (238)
- Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks (2008) (236)
- Crowdsourcing the creation of image segmentation algorithms for connectomics (2015) (235)
- Finding temporal structure in music: blues improvisation with LSTM recurrent networks (2002) (234)
- Parameter-exploring policy gradients (2010) (229)
- Steel defect classification with Max-Pooling Convolutional Neural Networks (2012) (227)
- Neural Expectation Maximization (2017) (207)
- A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks (2006) (206)
- A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks (2007) (198)
- HQ-Learning (1997) (196)
- Transfer learning for Latin and Chinese characters with Deep Neural Networks (2012) (195)
- Highway and Residual Networks learn Unrolled Iterative Estimation (2016) (187)
- Multimodal Similarity-Preserving Hashing (2012) (183)
- Optimal Ordered Problem Solver (2002) (182)
- Compete to Compute (2013) (174)
- Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes (2008) (169)
- Lipreading with long short-term memory (2016) (167)
- Exponential natural evolution strategies (2010) (166)
- Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement (1997) (162)
- Efficient Non-linear Control Through Neuroevolution (2006) (159)
- Solving Deep Memory POMDPs with Recurrent Policy Gradients (2007) (157)
- Evolving large-scale neural networks for vision-based reinforcement learning (2013) (155)
- Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments (2011) (145)
- Simplifying Neural Nets by Discovering Flat Minima (1994) (141)
- Are Disentangled Representations Helpful for Abstract Visual Reasoning? (2019) (140)
- A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks (1992) (140)
- Reinforcement Learning in Markovian and Non-Markovian Environments (1990) (130)
- Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability (1997) (129)
- Learning dynamic algorithm portfolios (2006) (124)
- PowerPlay: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem (2011) (124)
- Learning Factorial Codes by Predictability Minimization (1992) (123)
- Tagger: Deep Unsupervised Perceptual Grouping (2016) (121)
- Gödel Machines: Fully Self-referential Optimal Universal Self-improvers (2007) (119)
- Super mario evolution (2009) (108)
- Evolving deep unsupervised convolutional networks for vision-based reinforcement learning (2014) (106)
- On learning how to learn learning strategies (1994) (105)
- Efficient natural evolution strategies (2009) (104)
- Learning to Generate Artificial Fovea Trajectories for Target Detection (1991) (102)
- On the Binding Problem in Artificial Neural Networks (2020) (101)
- A Local Learning Algorithm for Dynamic Feedforward and Recurrent Networks (1989) (99)
- Evolving Memory Cell Structures for Sequence Learning (2009) (99)
- Recurrent policy gradients (2010) (99)
- Low-Complexity Art (2017) (97)
- Exploring parameter space in reinforcement learning (2010) (97)
- Algorithmic Theories of Everything (2000) (94)
- High dimensions and heavy tails for natural evolution strategies (2011) (91)
- Sequential neural text compression (1996) (90)
- State-Dependent Exploration for Policy Gradient Methods (2008) (90)
- Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets (2003) (90)
- Biologically Plausible Speech Recognition with LSTM Neural Nets (2004) (89)
- Reinforcement Learning with Self-Modifying Policies (1998) (89)
- Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks (2007) (88)
- Efficient model-based exploration (1998) (87)
- Feature Extraction Through LOCOCODE (1999) (86)
- Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM (2002) (84)
- Simple Principles of Metalearning (1996) (84)
- Learning the Long-Term Structure of the Blues (2002) (84)
- Evolving neural networks in compressed weight space (2010) (83)
- Curiosity driven reinforcement learning for motion planning on humanoids (2014) (83)
- Ultimate Cognition à la Gödel (2009) (83)
- Stochastic search using the natural gradient (2009) (81)
- A ‘Self-Referential’ Weight Matrix (1993) (81)
- Exploring the predictable (2003) (81)
- Improving Generalization in Meta Reinforcement Learning using Learned Objectives (2019) (78)
- An on-line algorithm for dynamic reinforcement learning and planning in reactive environments (1990) (77)
- A neural network that embeds its own meta-levels (1993) (77)
- Hierarchies of Generalized Kolmogorov Complexities and Nonenumerable Universal Measures Computable in the Limit (2002) (76)
- Fast Online Q(λ) (1998) (76)
- A fast learning algorithm for image segmentation with max-pooling convolutional networks (2013) (76)
- On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models (2015) (76)
- Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning (2005) (75)
- Simple algorithmic theory of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes (特集 高次機能の学習と創発--脳・ロボット・人間研究における新たな展開) (2009) (74)
- A robot that reinforcement-learns to identify and memorize important previous observations (2003) (73)
- Better Digit Recognition with a Committee of Simple Neural Nets (2011) (73)
- Co-evolving recurrent neurons learn deep memory POMDPs (2005) (71)
- A Computer Scientist's View of Life, the Universe, and Everything (1999) (70)
- Policy Gradients with Parameter-Based Exploration for Control (2008) (70)
- The Sacred Infrastructure for Computational Research (2017) (69)
- Multidimensional Recurrent Neural Networks (2007) (63)
- Hierarchical controller learning in a First-Person Shooter (2009) (62)
- Modeling systems with internal state using evolino (2005) (60)
- Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams (2012) (58)
- Solving POMDPs with Levin Search and EIRA (1996) (58)
- Deep Big Multilayer Perceptrons for Digit Recognition (2012) (57)
- Learning tactile skills through curious exploration (2012) (56)
- Semilinear Predictability Minimization Produces Well-Known Feature Detectors (1996) (56)
- Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space (1997) (55)
- Discovering Predictable Classifications (1993) (54)
- Learning Team Strategies: Soccer Case Studies (1998) (54)
- Frontier Search (2009) (54)
- Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity (2007) (54)
- Reinforcement Learning Upside Down: Don't Predict Rewards - Just Map Them to Actions (2019) (54)
- Dynamic Algorithm Portfolios (2006) (53)
- The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers (2021) (53)
- Artificial curiosity based on discovering novel algorithmic predictability through coevolution (1999) (53)
- Linear Transformers Are Secretly Fast Weight Programmers (2021) (53)
- Cartesian Genetic Programming for Image Processing (2013) (53)
- Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots (2017) (52)
- Training Agents using Upside-Down Reinforcement Learning (2019) (52)
- The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions (2002) (51)
- Robust player imitation using multiobjective evolution (2009) (51)
- Reducing the Ratio Between Learning Complexity and Number of Time Varying Variables in Fully Recurrent Nets (1993) (51)
- Hindsight policy gradients (2017) (51)
- Learning to Reason with Third-Order Tensor Products (2018) (50)
- First Experiments with PowerPlay (2012) (50)
- Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements (2003) (49)
- A General Method For Incremental Self-Improvement And Multi-Agent Learning In Unrestricted Environme (1999) (48)
- Reinforcement Learning Soccer Teams with Incomplete World Models (1999) (48)
- Measuring Intelligence through Games (2011) (48)
- A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients (2009) (47)
- Evolino: Hybrid Neuroevolution / Optimal Linear Search for Sequence Prediction (2005) (45)
- Quasi-online reinforcement learning for robots (2006) (43)
- Learning Unambiguous Reduced Sequence Descriptions (1991) (43)
- Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices (2010) (42)
- Self-organizing nets for optimization (2004) (42)
- New Millennium AI and the Convergence of History (2006) (40)
- Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving (2019) (40)
- Understanding Locally Competitive Networks (2014) (39)
- Planning simple trajectories using neural subgoal generators (1993) (39)
- Learning Restart Strategies (2007) (39)
- Evolving Modular Fast-Weight Networks for Control (2005) (39)
- A Learning Framework for Morphological Operators Using Counter-Harmonic Mean (2012) (38)
- MT-CGP: mixed type cartesian genetic programming (2012) (38)
- Generating diverse opponents with multiobjective evolution (2008) (38)
- Guessing can Outperform Many Long Time Lag Algorithms (1996) (36)
- Algorithm Selection as a Bandit Problem with Unbounded Losses (2008) (36)
- Binding via Reconstruction Clustering (2015) (36)
- Learning to generate sub-goals for action sequences (1991) (36)
- Phoneme recognition in TIMIT with BLSTM-CTC (2008) (35)
- Facial Expression Recognition with Recurrent Neural Networks (2008) (35)
- Ontogenetic and Phylogenetic Reinforcement Learning (2009) (35)
- Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991) (2019) (35)
- Improving Speaker-Independent Lipreading with Domain-Adversarial Training (2017) (34)
- Artificial curiosity with planning for autonomous perceptual and cognitive development (2011) (34)
- An intrinsic value system for developing multiple invariant representations with incremental slowness learning (2013) (33)
- Learning skills from play: Artificial curiosity on a Katana robot arm (2012) (33)
- Multi-scale pyramidal pooling network for generic steel defect classification (2013) (32)
- Completely Self-referential Optimal Reinforcement Learners (2005) (32)
- Unsupervised Learning in LSTM Recurrent Neural Networks (2001) (32)
- What''s interesting? (1997) (31)
- Application of mismatched Cellular Nonlinear Networks for Physical Cryptography (2010) (31)
- Deep Watershed Detector for Music Object Recognition (2018) (31)
- Algorithm portfolio selection as a bandit problem with unbounded losses (2011) (31)
- Bounded Recursive Self-Improvement (2013) (31)
- Language identification from prosody without explicit features (1999) (31)
- Self-Delimiting Neural Networks (2012) (30)
- The Computational Universe (2006) (29)
- Investigating object compositionality in Generative Adversarial Networks (2018) (29)
- Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs (2011) (29)
- Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability (1995) (29)
- Evolino for recurrent support vector machines (2005) (28)
- The New AI: General & Sound & Relevant for Physics (2003) (28)
- DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects (2018) (27)
- A Natural Evolution Strategy for Multi-objective Optimization (2010) (27)
- Fitness Expectation Maximization (2008) (27)
- Descriptor Learning for Omnidirectional Image Matching (2011) (27)
- Meta Learning Backpropagation And Improving It (2020) (26)
- Market-Based Reinforcement Learning in Partially Observable Worlds (2001) (26)
- A linear time natural evolution strategy for non-separable functions (2011) (26)
- Recurrent networks adjusted by adaptive critics (1990) (26)
- Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks (2020) (26)
- Self-Motivated Development Through Rewards for Predictor Errors / Improvements (2005) (26)
- Adaptive Online Time Allocation to Search Algorithms (2004) (26)
- Incremental self-improvement for life-time multi-agent reinforcement learning (1996) (26)
- Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning (2014) (25)
- Evolving large-scale neural networks for vision-based TORCS (2013) (25)
- Intrinsically motivated neuroevolution for vision-based reinforcement learning (2011) (25)
- Gated Fast Weights for On-The-Fly Neural Program Generation (2017) (25)
- Long Short-Term Memory Learns Context Free and Context Sensitive Languages (2000) (25)
- Incremental Slow Feature Analysis (2011) (25)
- A Neural Network Model for Inter-problem Adaptive Online Time Allocation (2005) (24)
- Reinforcement learning in partially observable mobile robot domains using unsupervised event extraction (2002) (24)
- Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control (2019) (24)
- Networks adjusting networks (1990) (24)
- Lococode Performs Nonlinear ICA Without Knowing The Number Of Sources (1999) (23)
- Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis (2012) (23)
- Incremental learning using partial feedback for gesture-based human-swarm interaction (2012) (23)
- Task-relevant roadmaps: A framework for humanoid motion planning (2013) (23)
- On Fast Deep Nets for AGI Vision (2011) (23)
- A comparison of algorithms and humans for mitosis detection (2014) (22)
- 2006: Celebrating 75 Years of AI - History and Outlook: The Next 25 Years (2007) (22)
- One Big Net For Everything (2018) (22)
- Facial beauty and fractal geometry (1998) (22)
- The Modular Behavioral Environment for Humanoids and other Robots (MoBeE) (2012) (22)
- Domain-Adversarial Training for Session Independent EMG-based Speech Recognition (2018) (22)
- Going Beyond Linear Transformers with Recurrent Fast Weight Programmers (2021) (21)
- Learning spatial object localization from vision on a humanoid robot (2012) (21)
- Mars terrain image classification using Cartesian genetic programming (2012) (20)
- Transferring spatial perception between robots operating in a shared workspace (2012) (20)
- Bias-Optimal Incremental Problem Solving (2002) (20)
- Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis (2012) (20)
- Hierarchical reinforcement learning with subpolicies specializing for learned subgoals (2004) (20)
- A Perspective on Objects and Systematic Generalization in Model-Based RL (2019) (20)
- Direct Policy Search and Uncertain Policy Evaluation (1998) (19)
- Incremental Basis Construction from Temporal Difference Error (2011) (19)
- Continuous history compression (1993) (19)
- Sequential Constant Size Compressors for Reinforcement Learning (2011) (19)
- The two-dimensional organization of behavior (2011) (19)
- Curiosity-driven optimization (2011) (19)
- Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes (2014) (19)
- Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition (2016) (19)
- Coherence Progress: A Measure of Interestingness Based on Fixed Compressors (2011) (19)
- Rapid Retraining on Speech Data with LSTM Recurrent Networks. (2005) (18)
- Learning Associative Inference Using Fast Weight Memory (2020) (18)
- Linear Transformers Are Secretly Fast Weight Memory Systems (2021) (18)
- A Formal Theory of Creativity to Model the Creation of Art (2012) (18)
- Intrinsically Motivated Evolutionary Search for Vision-Based Reinforcement Learning (2011) (18)
- Scalable Neural Networks for Board Games (2009) (18)
- Growing Recursive Self-Improvers (2016) (18)
- Searching for Minimal Neural Networks in Fourier Space (2010) (18)
- Artificial curiosity for autonomous space exploration (2011) (18)
- Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity (2007) (17)
- Gödel Machines: Towards a Technical Justification of Consciousness (2005) (17)
- Artificial General Intelligence - 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011. Proceedings (2011) (17)
- Science as By-Products of Search for Novel Patterns , or Data Compressible in Unknown Yet Learnable Ways (2009) (17)
- Confidence-based progress-driven self-generated goals for skill acquisition in developmental robots (2013) (17)
- A Family of Gödel Machine Implementations (2011) (17)
- On Learning Soccer Strategies (1997) (16)
- A Wavelet-based Encoding for Neuroevolution (2016) (16)
- Multi-Agent Learning with the Success-Story Algorithm (1996) (16)
- Sequential Decision Making Based on Direct Search (2001) (16)
- Policy Gradient Critics (2007) (16)
- R-SQAIR: Relational Sequential Attend, Infer, Repeat (2019) (16)
- RNN-based Learning of Compact Maps for Efficient Robot Localization (2007) (15)
- Impact of Censored Sampling on the Performance of Restart Strategies (2006) (15)
- Formal Theory of Fun and Creativity (2010) (15)
- Parameter-based Value Functions (2020) (15)
- Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients (2010) (15)
- Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity (2013) (15)
- Investigations on End- to-End Audiovisual Fusion (2018) (14)
- An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision) (2012) (14)
- Unsupervised Coding with LOCOCODE (1997) (14)
- Multimodal Parameter-exploring Policy Gradients (2010) (14)
- Humanoid learns to detect its own hands (2013) (14)
- Towards Practical Universal Search (2010) (14)
- The IM-CLeVeR Project : Intrinsically Motivated Cumulative Learning Versatile Robots (2009) (14)
- Explore to see, learn to perceive, get the actions for free: SKILLABILITY (2014) (14)
- Artificial Scientists & Artists Based on the Formal Theory of Creativity (2010) (13)
- icVision: A modular vision system for cognitive robotics research (2012) (13)
- Don't forget randomness is still just a hypothesis (2006) (13)
- Hierarchical Relational Inference (2020) (13)
- Continual Prediction using LSTM with Forget Gates (1999) (13)
- Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization (2019) (13)
- Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious (2013) (13)
- Evolutionary computation versus reinforcement learning (2000) (13)
- AutoIncSFA and vision-based developmental learning for humanoid robots (2011) (13)
- Automatic discrimination among languages based on prosody alone (1999) (13)
- Countering Poisonous Inputs with Memetic Neuroevolution (2008) (13)
- Unsupervised Object Keypoint Learning using Local Spatial Predictability (2020) (13)
- Compressed Network Complexity Search (2012) (13)
- Comparing Prosody Across Many Languages (1999) (13)
- My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013 (2013) (12)
- Modular deep belief networks that do not forget (2011) (12)
- Discovering Boolean Gates in Slime Mould (2016) (12)
- Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition (2010) (12)
- Learning visual object detection and localisation using icVision (2013) (12)
- Autonomous learning of robust visual object detection and identification on a humanoid (2012) (12)
- An 'introspective' network that can learn to run its own weight change algorithm (1993) (12)
- Accelerated learning in back-propagation nets (1989) (12)
- Learning to generate subgoals for action sequences (1991) (12)
- Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning (2009) (12)
- Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams (2011) (12)
- Predictive Coding with Neural Nets: Application to Text Compression (1994) (11)
- Recurrent Neural Processes (2019) (11)
- Gradient-based Reinforcement Planning in Policy-Search Methods (2001) (11)
- Evolving Soccer Strategies (1997) (11)
- Driven by Compression Progress (2008) (11)
- Towards an Actual Gödel Machine Implementation: a Lesson in Self-Reflective Systems (2012) (11)
- HQ-Learning: Discovering Markovian Subgoals for Non-Markovian Reinforcement Learning (1996) (11)
- Novel Kernel-Based Recognizers of Human Actions (2010) (11)
- Generalized compressed network search (2012) (11)
- Autonomous reinforcement of behavioral sequences in neural dynamics (2012) (11)
- Teleoperation of a 7 DOF humanoid robot arm using human arm accelerations and EMG signals (2014) (11)
- Processing images by semi-linear predictability minimization. (1997) (11)
- Classifying Unprompted Speech by Retraining LSTM Nets (2005) (11)
- Algorithmic complexity bounds on future prediction errors (2007) (11)
- Philosophers & Futurists, Catch Up! Response to The Singularity (2012) (10)
- On-Chip Electric Waves: An Analog Circuit Approach to Physical Uncloneable Functions (2009) (10)
- Active Learning with Adaptive Grids (2001) (10)
- Episodic Reinforcement Learning by Logistic Reward-Weighted Regression (2008) (10)
- Neural Networks for Segmenting Neuronal Structures in EM Stacks (2012) (10)
- Learning to Generate Focus Trajectories for Attentive Vision (2019) (10)
- On the Size of the Online Kernel Sparsification Dictionary (2012) (10)
- Reactive reaching and grasping on a humanoid: Towards closing the action-perception loop on the iCub (2014) (10)
- Robust Texture Recognition Using Credal Classifiers (2010) (10)
- Reinforcement Learning with Interacting Continually Running Fully Recurrent Networks (1990) (10)
- Bounded Seed-AGI (2014) (9)
- CMAC models learn to play soccer (1998) (9)
- Learning Team Strategies With Multiple Policy-Sharing Agents: A Soccer Case Study (1997) (9)
- Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling (2021) (9)
- Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters (2002) (9)
- Learning Context Sensitive Languages with LSTM Trained with Kalman Filters (2002) (9)
- Anytime Bounded Rationality (2015) (9)
- The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization (2021) (9)
- Deep Learning (2015) (9)
- Model-based reinforcement learning for evolving soccer strategies (2001) (9)
- Prototype Resilient, Self-Modeling Robots (2007) (9)
- H-PIPE: Facilitating Hierarchical Program Evolution through Skip Nodes (1998) (9)
- Hierarchical Incremental Slow Feature Analysis (2012) (9)
- A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition (2004) (9)
- A scalable neural network architecture for board games (2008) (9)
- Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY (2012) (9)
- Autocatalytic endogenous reflective architecture (2013) (8)
- Policy Gradients for Cryptanalysis (2010) (8)
- Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot (2006) (8)
- Towards Distributed Algorithm Portfolios (2008) (8)
- Improving robot vision models for object detection through interaction (2014) (8)
- An EM Based Training Algorithm for Recurrent Neural Networks (2009) (8)
- A Modern Self-Referential Weight Matrix That Learns to Modify Itself (2022) (8)
- Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots (2013) (8)
- Evolving strategies for active flow control (2000) (8)
- Speeding up Q(lambda)-Learning (1998) (7)
- LOCOCODE versus PCA and ICA (1998) (7)
- AUTONOMOUS ACQUISITION OF NATURAL LANGUAGE (2014) (7)
- Environment-Independent Reinforcement Acceleration (1995) (7)
- Source Separation as a By-Product of Regularization (1998) (7)
- Unsupervised Learning in Recurrent Neural Networks (2001) (7)
- The Fastest Way of Computing All Universes (2012) (7)
- Dekf-lstm (2002) (7)
- Learning what to ignore: Memetic climbing in topology and weight space (2008) (6)
- Adaptive history compression for learning to divide and conquer (1991) (6)
- Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback (2013) (6)
- Is it enough to optimize CNN architectures on ImageNet? (2022) (6)
- The DeepScoresV2 Dataset and Benchmark for Music Object Detection (2020) (6)
- Efficient Interactive Multiclass Learning from Binary Feedback (2014) (6)
- Improving Generalization in Meta Reinforcement Learning using Neural Objectives (2020) (6)
- The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention (2022) (6)
- Are Neural Nets Modular? Inspecting Their Functionality Through Differentiable Weight Masks (2020) (6)
- Learning Algorithms for Networks with Internal and External Feedback (1990) (5)
- Unconventional computing using evolution-in-nanomaterio: neural networks meet nanoparticle networks (2016) (5)
- A Python Experiment Suite (2011) (5)
- Learning Exploration Policies with Models (1998) (5)
- Evolving Structured Programs with Hierarchical Instructions and Skip Nodes (1998) (5)
- Using data compressors to construct order tests for homogeneity and component independence (2009) (5)
- Testing Hypotheses by Regularized Maximum Mean Discrepancy (2013) (5)
- Bayesian Brains and the Rényi Divergence (2021) (5)
- A Frequency-Domain Encoding for Neuroevolution (2012) (4)
- Citation bubble about to burst? (2011) (4)
- The neural bucket brigade (1989) (4)
- Unsupervised learning of low-level audio features for music similarity estimation (2011) (4)
- Nonlinear ICA through low-complexity autoencoders (1999) (4)
- Recurrent Support Vector Machines (2005) (4)
- Optimal Control Using the Transport Equation: The Liouville Machine (2001) (4)
- Unsupervised Modeling of Partially Observable Environments (2011) (4)
- T-Learning (2011) (4)
- Adaptation of an EMG-Based Speech Recognizer via Meta-Learning (2019) (4)
- Steps Towards 'Self-Referential' Neural Learning: A Thought Experiment ; CU-CS-627-92 (1992) (4)
- Comparing the legacies of Gauss, Pasteur and Darwin. (2008) (4)
- Neural Predictors for Detecting and Removing Redundant Information (2000) (4)
- Evolution of National Nobel Prize Shares in the 20th Century (2010) (4)
- From probabilities to programs with probabilistic incremental program evolution (1999) (4)
- Deep Learning: Our Miraculous Year 1990-1991 (2020) (4)
- Online Dynamic Algorithm Portfolios: Minimizing the computational cost of problem solving, Informatics (2010) (4)
- Approaches to the Representation of Knowledge (1990) (3)
- Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients (2021) (3)
- Turing: Keep his work in perspective (2012) (3)
- Autonomous Acquisition of Natural Situated Communication (2014) (3)
- Motion Dynamics Improve Speaker-Independent Lipreading (2020) (3)
- Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning (2016) (3)
- An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning (2014) (3)
- Sequence learning through PIPE and automatic task decomposition (1999) (3)
- Using sequential adaptive neuro-control for efficient learning of rotation and translation invariance (1991) (3)
- Optimal Direct Policy Search (2011) (3)
- Draft : Deep Learning in Neural Networks : An Overview (2014) (3)
- Multi-Dimensional Deep Memory Go-Player for Parameter Exploring Policy Gradients (2010) (3)
- Bias-Optimal Incremental Learning of Control Sequences for Virtual Robots (2004) (3)
- Fast Color-Based Object Recognition Independent of Position and Orientation (2005) (3)
- Towards Spatial Perception: Learning to Locate Objects From Vision (2012) (3)
- Python Experiment Suite Implementation (2011) (3)
- All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL (2022) (3)
- Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis (2016) (3)
- Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets (2022) (3)
- Meta-Learning for Recalibration of EMG-Based Upper Limb Prostheses (2020) (3)
- Neural processing of complex continual input streams (2000) (2)
- The Last Inventor of the Telephone (2008) (2)
- Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules (2022) (2)
- Unsupervised Recurrent Neural Networks (2000) (2)
- Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution (2014) (2)
- Greatest Thing Since...: What is the Most Significant Invention of the Past Decade, and What Do You Anticipate for the Future? (2011) (2)
- Using Neural Networks to Predict the Functionality of Reconfigurable Nano-material Networks (2017) (2)
- Fusion Architectures for Word-Based Audiovisual Speech Recognition (2020) (2)
- Learning to Predict Through Probabilistic Incremental Program Evolution and Automatic Task Decomposition (1998) (2)
- Self-Referential Meta Learning (2022) (2)
- Colossus was the first electronic digital computer (2006) (2)
- The Impacts of OECD policy reform on international agricultural commodity markets: first results of a quantitative assessment based on the @2030 model (2002) (2)
- Turing in context. (2012) (2)
- Measuring and Optimizing Behavioral Complexity (2009) (2)
- A novel unsupervised classification method (1993) (2)
- Unsupervised Learning of Temporal Abstractions with Slot-based Transformers (2022) (2)
- Training and Generating Neural Networks in Compressed Weight Space (2021) (2)
- Object Recognition with Multi-Scale Pyramidal Pooling Networks (2012) (2)
- Deep neural network representation and Generative Adversarial Learning (2021) (2)
- General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States (2022) (2)
- Goal-Conditioned Generators of Deep Policies (2022) (2)
- Adaptive decomposition of time (1991) (1)
- The Natural Gradient as a control signal for a humanoid robot (2015) (1)
- The new AI is general and mathematically rigorous (2010) (1)
- Asymmetric Planning for Incremental Real-Time Heuristic Search (2006) (1)
- Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics (2014) (1)
- Using Neural Networks to Predict the Functionality of Reconfigurable Nanomaterial Networks (2017) (1)
- Reinforcement and shaping in learning action sequences with neural dynamics (2014) (1)
- Turing's war work counts for more than computers (2004) (1)
- Discovering Predictable Classifications ; CU-CS-626-92 (1992) (1)
- Gambling in a Computationally Expensive Casino : Algorithm Selection as a Bandit Problem (2006) (1)
- Using Data Compressors to Construct Rank Tests (2007) (1)
- ImageNet as a Representative Basis for Deriving Generally Effective CNN Architectures (2021) (1)
- The Computational Universe. Review of Programming the Universe: A Quantum Computer Scientist Takes on the Cosmos, by Seth Lloyd (2006) (1)
- Human-Robot Cooperation: Fast, Interactive Learning from Binary Feedback (2014) (1)
- Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules (2022) (1)
- Prefix-like Complexities of Finite and Infinite Sequences on Generalized Turing Machines. (2005) (1)
- Parametric Policy Gradients for Robotics (2008) (1)
- Towards Life-Long Meta Learning (2005) (1)
- Kernel representations for evolving continuous functions (2012) (1)
- Reward-Weighted Regression Converges to a Global Optimum (2021) (1)
- Robot Learning with State-Dependent Exploration (2008) (1)
- ALife in humanoids: Developing a framework to employ artificial life techniques for high-level perception and cognition tasks on humanoid robots (2013) (1)
- Flying into history (2003) (1)
- Compression as beauty and how the success of The Dark Side of the Moon hints at a computational brain (2022) (0)
- Modular Value Iteration through Regional Decomposition (2012) (0)
- Prefix-Like Complexities and Computability in the Limit (2006) (0)
- Pipeline for Real-time Anomaly Detection in Log Data Streams using Apache Kafka and Apache Spark (2019) (0)
- Improving Stateful Premise Selection with Transformers (2021) (0)
- On Narrative Information and the Distillation of Stories (2022) (0)
- Learning temporary variable binding with dynamic links (1991) (0)
- Automatic Embedding of Stories Into Collections of Independent Media (2021) (0)
- Comparing LSTM Recurrent Networks with Spiking Recurrent Networks on the Recognition of Spoken Digits. (2003) (0)
- No . IDSIA-04-08 1 Phoneme recognition in TIMIT with BLSTM-CTC (2008) (0)
- Evolving Cell Structures for Sequence Learning (2009) (0)
- UNROLLED ITERATIVE ESTIMATION (2017) (0)
- Towards Practical Universal Search Tom (2010) (0)
- GATED FAST WEIGHTS FOR ASSOCIATIVE RETRIEVAL (2018) (0)
- Learning Factorial Codes by Predictability Minimization ; CU-CS-565-91 (1991) (0)
- Improving Baselines in the Wild (2021) (0)
- The New AI is General & Mathematically Rigorous (2010) (0)
- Algorithm 1 Curiosity-driven Optimization (2011) (0)
- COMPRESSED WEIGHT SPACE (2021) (0)
- Augmenting Classic Algorithms with Neural Components for Strong Generalisation on Ambiguous and High-Dimensional Data (2021) (0)
- The Project IM-CLeVeR – Intrinsically Motivated Cumulative Learning Versatile Robots : A Toolbox for Research on Intrinsic Motivations and Cumulative Learning (2013) (0)
- Learning Adaptive Control Flow in Transformers for Improved Systematic Generalization (2021) (0)
- The Benefits of Model-Based Generalization in Reinforcement Learning (2022) (0)
- Complexity Monotone in Conditions and Future Prediction Errors (2006) (0)
- Unsupervised Extraction of Predictable Abstract Features (1993) (0)
- Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks (2022) (0)
- An Investigation into the Open World Survival Game Crafter (2022) (0)
- Scaling up Multidimensional Recurrent Neural Networks for image segmentation (2016) (0)
- Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits (2020) (0)
- Complexity search for compressed neural networks (2012) (0)
- Erratum to: Novel Kernel-Based Recognizers of Human Actions (2012) (0)
- On decrease of a priori randomness deficiency. (2005) (0)
- Low-complexity Art Low-complexity Art Report Fki-197-94 (revised) (1995) (0)
- Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control (2022) (0)
- Five Answers on Randomness (2009) (0)
- Artificial General Intelligence. Proceedings of the 4th International Conference (2011) (0)
- Lifelong Credit Assignment with the Success-Story Algorithm (2011) (0)
- 1 5 D ec 2 00 5 Evolino for Recurrent Support Vector Machines (0)
- Proceedings of the 4th international conference on Artificial general intelligence (2011) (0)
- Aviation pioneers missed out on publicity (2019) (0)
- A neural network model for adaptive online time allocation (2005) (0)
- Randomness, Occam's Razor, AI, Creativity and Digital Physics (2011) (0)
- EVALUATING BENCHMARK PROBLEMS BY RANDOM GUESSING (2015) (0)
- Accumulator Intrinsic Motivation Block φ L 1 φ L k Input Observations ( x ) Reward Switch (2012) (0)
- "Neural" redundancy reduction for text compression (1993) (0)
- VIA R ECONSTRUCTION C LUSTERING (2015) (0)
- CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations (2022) (0)
- How to Learn a Program: Optimal Universal Learners & Goedel Machines (2005) (0)
- Recurrent Neural Network (2015) (0)
- A Technical Justification of Consciousness (2005) (0)
- Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter (2022) (0)
- Learning Relative Return Policies With Upside-Down Reinforcement Learning (2022) (0)
- Highlights of Ai History—from Gödel to 2006 (2008) (0)
- Exploring through Random Curiosity with General Value Functions (2022) (0)
- Main Results Accomplished by the EU-Funded Project IM-CLeVeR – Intrinsically Motivated Cumulative Learning Versatile Robots (2013) (0)
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