Jürgen Schmidhuber
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German computer scientist and artificial intelligence researcher
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Computer Science
Why Is Jürgen Schmidhuber Influential?
(Suggest an Edit or Addition)According to Wikipedia, Jürgen Schmidhuber is a German computer scientist noted for his work in the field of artificial intelligence, specifically artificial neural networks. He is a scientific director of the Dalle Molle Institute for Artificial Intelligence Research in Switzerland. He is also director of the Artificial Intelligence Initiative and professor of the Computer Science program in the Computer, Electrical, and Mathematical Sciences and Engineering division at the King Abdullah University of Science and Technology in Saudi Arabia.
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 Works
- Long Short-Term Memory (1997) (63450)
- Deep learning in neural networks: An overview (2014) (13666)
- Learning to Forget: Continual Prediction with LSTM (2000) (5273)
- Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks (2006) (4291)
- LSTM: A Search Space Odyssey (2015) (4054)
- Framewise phoneme classification with bidirectional LSTM and other neural network architectures (2005) (3937)
- Multi-column deep neural networks for image classification (2012) (3695)
- A Novel Connectionist System for Unconstrained Handwriting Recognition (2009) (1733)
- Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction (2011) (1693)
- Training Very Deep Networks (2015) (1472)
- Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks (2013) (1430)
- Learning Precise Timing with LSTM Recurrent Networks (2003) (1419)
- Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images (2012) (1347)
- Highway Networks (2015) (1294)
- Flexible, High Performance Convolutional Neural Networks for Image Classification (2011) (1293)
- Multi-column deep neural network for traffic sign classification (2012) (986)
- Deep, Big, Simple Neural Nets for Handwritten Digit Recognition (2010) (938)
- Modeling attacks on physical unclonable functions (2010) (842)
- LSTM can Solve Hard Long Time Lag Problems (1996) (768)
- Natural Evolution Strategies (2008) (716)
- Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition (2005) (697)
- Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010) (2010) (670)
- LSTM recurrent networks learn simple context-free and context-sensitive languages (2001) (649)
- Flat Minima (1997) (637)
- Recurrent World Models Facilitate Policy Evolution (2018) (602)
- A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots (2016) (594)
- Recurrent nets that time and count (2000) (560)
- Max-pooling convolutional neural networks for vision-based hand gesture recognition (2011) (492)
- Convolutional Neural Network Committees for Handwritten Character Classification (2011) (482)
- Learning Complex, Extended Sequences Using the Principle of History Compression (1992) (459)
- A possibility for implementing curiosity and boredom in model-building neural controllers (1991) (450)
- Framewise phoneme classification with bidirectional LSTM networks (2005) (448)
- PUF Modeling Attacks on Simulated and Silicon Data (2013) (442)
- A Clockwork RNN (2014) (430)
- Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition (2010) (427)
- Applying LSTM to Time Series Predictable through Time-Window Approaches (2000) (421)
- World Models (2018) (419)
- A committee of neural networks for traffic sign classification (2011) (379)
- Assessment of algorithms for mitosis detection in breast cancer histopathology images (2014) (379)
- Recurrent Highway Networks (2016) (379)
- Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks (1992) (332)
- Accelerated Neural Evolution through Cooperatively Coevolved Synapses (2008) (331)
- Fast image scanning with deep max-pooling convolutional neural networks (2013) (325)
- High-Performance Neural Networks for Visual Object Classification (2011) (289)
- Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts (2006) (283)
- Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation (2015) (276)
- Multi-dimensional Recurrent Neural Networks (2007) (273)
- Training Recurrent Networks by Evolino (2007) (261)
- Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions (2018) (253)
- A First Look at Music Composition using LSTM Recurrent Neural Networks (2002) (250)
- An Application of Recurrent Neural Networks to Discriminative Keyword Spotting (2007) (250)
- Crowdsourcing the creation of image segmentation algorithms for connectomics (2015) (245)
- An experiment in automatic game design (2008) (245)
- Deep Networks with Internal Selective Attention through Feedback Connections (2014) (244)
- Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks (2007) (241)
- Parameter-exploring policy gradients (2010) (240)
- Steel defect classification with Max-Pooling Convolutional Neural Networks (2012) (240)
- Finding temporal structure in music: blues improvisation with LSTM recurrent networks (2002) (239)
- Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks (2008) (235)
- Neural Expectation Maximization (2017) (223)
- A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks (2006) (216)
- A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks (2007) (201)
- Transfer learning for Latin and Chinese characters with Deep Neural Networks (2012) (198)
- HQ-Learning (1997) (198)
- Highway and Residual Networks learn Unrolled Iterative Estimation (2016) (194)
- Multimodal Similarity-Preserving Hashing (2012) (183)
- Optimal Ordered Problem Solver (2002) (182)
- Compete to Compute (2013) (177)
- Lipreading with long short-term memory (2016) (173)
- Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes (2008) (173)
- Exponential natural evolution strategies (2010) (171)
- Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement (1997) (168)
- Solving Deep Memory POMDPs with Recurrent Policy Gradients (2007) (161)
- Efficient Non-linear Control Through Neuroevolution (2006) (160)
- Evolving large-scale neural networks for vision-based reinforcement learning (2013) (159)
- Are Disentangled Representations Helpful for Abstract Visual Reasoning? (2019) (158)
- Simplifying Neural Nets by Discovering Flat Minima (1994) (154)
- Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments (2011) (151)
- A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks (1992) (144)
- Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability (1997) (136)
- Reinforcement Learning in Markovian and Non-Markovian Environments (1990) (131)
- Tagger: Deep Unsupervised Perceptual Grouping (2016) (130)
- PowerPlay: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem (2011) (128)
- Learning Factorial Codes by Predictability Minimization (1992) (125)
- Learning dynamic algorithm portfolios (2006) (125)
- Gödel Machines: Fully Self-referential Optimal Universal Self-improvers (2007) (121)
- On the Binding Problem in Artificial Neural Networks (2020) (120)
- Evolving deep unsupervised convolutional networks for vision-based reinforcement learning (2014) (110)
- On learning how to learn learning strategies (1994) (109)
- Efficient natural evolution strategies (2009) (109)
- Super mario evolution (2009) (109)
- Learning to Generate Artificial Fovea Trajectories for Target Detection (1991) (106)
- Evolving Memory Cell Structures for Sequence Learning (2009) (103)
- Recurrent policy gradients (2010) (101)
- A Local Learning Algorithm for Dynamic Feedforward and Recurrent Networks (1989) (100)
- Low-Complexity Art (2017) (100)
- Exploring parameter space in reinforcement learning (2010) (99)
- Algorithmic Theories of Everything (2000) (96)
- High dimensions and heavy tails for natural evolution strategies (2011) (96)
- Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets (2003) (94)
- Sequential neural text compression (1996) (93)
- Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks (2007) (92)
- State-Dependent Exploration for Policy Gradient Methods (2008) (91)
- Biologically Plausible Speech Recognition with LSTM Neural Nets (2004) (91)
- Curiosity driven reinforcement learning for motion planning on humanoids (2014) (89)
- Efficient model-based exploration (1998) (89)
- Evolving neural networks in compressed weight space (2010) (89)
- Reinforcement Learning with Self-Modifying Policies (1998) (89)
- Simple Principles of Metalearning (1996) (87)
- Improving Generalization in Meta Reinforcement Learning using Learned Objectives (2019) (87)
- Feature Extraction Through LOCOCODE (1999) (87)
- Stochastic search using the natural gradient (2009) (86)
- Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM (2002) (85)
- A ‘Self-Referential’ Weight Matrix (1993) (85)
- Learning the Long-Term Structure of the Blues (2002) (85)
- Ultimate Cognition à la Gödel (2009) (83)
- Exploring the predictable (2003) (82)
- A neural network that embeds its own meta-levels (1993) (82)
- On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models (2015) (80)
- An on-line algorithm for dynamic reinforcement learning and planning in reactive environments (1990) (79)
- A fast learning algorithm for image segmentation with max-pooling convolutional networks (2013) (78)
- Hierarchies of Generalized Kolmogorov Complexities and Nonenumerable Universal Measures Computable in the Limit (2002) (77)
- Fast Online Q(λ) (1998) (77)
- Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning (2005) (76)
- Better Digit Recognition with a Committee of Simple Neural Nets (2011) (76)
- Co-evolving recurrent neurons learn deep memory POMDPs (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)
- The Sacred Infrastructure for Computational Research (2017) (73)
- A Computer Scientist's View of Life, the Universe, and Everything (1999) (72)
- Linear Transformers Are Secretly Fast Weight Programmers (2021) (70)
- Policy Gradients with Parameter-Based Exploration for Control (2008) (70)
- Reinforcement Learning Upside Down: Don't Predict Rewards - Just Map Them to Actions (2019) (66)
- Multidimensional Recurrent Neural Networks (2007) (64)
- Hierarchical controller learning in a First-Person Shooter (2009) (62)
- Modeling systems with internal state using evolino (2005) (62)
- Training Agents using Upside-Down Reinforcement Learning (2019) (61)
- The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers (2021) (58)
- Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams (2012) (58)
- Deep Big Multilayer Perceptrons for Digit Recognition (2012) (58)
- Semilinear Predictability Minimization Produces Well-Known Feature Detectors (1996) (58)
- Solving POMDPs with Levin Search and EIRA (1996) (58)
- Frontier Search (2009) (58)
- Learning tactile skills through curious exploration (2012) (57)
- Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity (2007) (56)
- Cartesian Genetic Programming for Image Processing (2013) (56)
- Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space (1997) (55)
- Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots (2017) (55)
- Discovering Predictable Classifications (1993) (54)
- Artificial curiosity based on discovering novel algorithmic predictability through coevolution (1999) (54)
- Reducing the Ratio Between Learning Complexity and Number of Time Varying Variables in Fully Recurrent Nets (1993) (53)
- Dynamic Algorithm Portfolios (2006) (53)
- Learning Team Strategies: Soccer Case Studies (1998) (53)
- Robust player imitation using multiobjective evolution (2009) (53)
- Learning to Reason with Third-Order Tensor Products (2018) (52)
- First Experiments with PowerPlay (2012) (51)
- The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions (2002) (51)
- Hindsight policy gradients (2017) (51)
- Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements (2003) (50)
- Measuring Intelligence through Games (2011) (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)
- A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients (2009) (48)
- Evolino: Hybrid Neuroevolution / Optimal Linear Search for Sequence Prediction (2005) (46)
- Learning Unambiguous Reduced Sequence Descriptions (1991) (43)
- Self-organizing nets for optimization (2004) (43)
- Quasi-online reinforcement learning for robots (2006) (43)
- Evolving Modular Fast-Weight Networks for Control (2005) (42)
- Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices (2010) (42)
- Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991) (2019) (42)
- Planning simple trajectories using neural subgoal generators (1993) (41)
- New Millennium AI and the Convergence of History (2006) (41)
- Understanding Locally Competitive Networks (2014) (40)
- MT-CGP: mixed type cartesian genetic programming (2012) (40)
- Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving (2019) (40)
- Learning Restart Strategies (2007) (39)
- A Learning Framework for Morphological Operators Using Counter-Harmonic Mean (2012) (39)
- Generating diverse opponents with multiobjective evolution (2008) (38)
- Guessing can Outperform Many Long Time Lag Algorithms (1996) (38)
- Algorithm Selection as a Bandit Problem with Unbounded Losses (2008) (37)
- Application of mismatched Cellular Nonlinear Networks for Physical Cryptography (2010) (37)
- Binding via Reconstruction Clustering (2015) (37)
- Learning to generate sub-goals for action sequences (1991) (37)
- Ontogenetic and Phylogenetic Reinforcement Learning (2009) (35)
- Facial Expression Recognition with Recurrent Neural Networks (2008) (35)
- Phoneme recognition in TIMIT with BLSTM-CTC (2008) (35)
- Improving Speaker-Independent Lipreading with Domain-Adversarial Training (2017) (35)
- Multi-scale pyramidal pooling network for generic steel defect classification (2013) (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)
- Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks (2020) (33)
- Algorithm portfolio selection as a bandit problem with unbounded losses (2011) (32)
- Bounded Recursive Self-Improvement (2013) (32)
- Unsupervised Learning in LSTM Recurrent Neural Networks (2001) (32)
- Completely Self-referential Optimal Reinforcement Learners (2005) (32)
- Meta Learning Backpropagation And Improving It (2020) (32)
- Deep Watershed Detector for Music Object Recognition (2018) (32)
- Investigating object compositionality in Generative Adversarial Networks (2018) (31)
- Self-Delimiting Neural Networks (2012) (31)
- Language identification from prosody without explicit features (1999) (31)
- What''s interesting? (1997) (31)
- Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs (2011) (29)
- Going Beyond Linear Transformers with Recurrent Fast Weight Programmers (2021) (29)
- Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability (1995) (29)
- The Computational Universe (2006) (29)
- A Natural Evolution Strategy for Multi-objective Optimization (2010) (28)
- 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)
- Fitness Expectation Maximization (2008) (27)
- Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning (2014) (27)
- Descriptor Learning for Omnidirectional Image Matching (2011) (27)
- A linear time natural evolution strategy for non-separable functions (2011) (27)
- Recurrent networks adjusted by adaptive critics (1990) (26)
- Adaptive Online Time Allocation to Search Algorithms (2004) (26)
- Incremental self-improvement for life-time multi-agent reinforcement learning (1996) (26)
- Market-Based Reinforcement Learning in Partially Observable Worlds (2001) (26)
- Self-Motivated Development Through Rewards for Predictor Errors / Improvements (2005) (26)
- One Big Net For Everything (2018) (26)
- Evolving large-scale neural networks for vision-based TORCS (2013) (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)
- Intrinsically motivated neuroevolution for vision-based reinforcement learning (2011) (25)
- Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control (2019) (25)
- Incremental Slow Feature Analysis (2011) (25)
- A Neural Network Model for Inter-problem Adaptive Online Time Allocation (2005) (24)
- Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis (2012) (24)
- Reinforcement learning in partially observable mobile robot domains using unsupervised event extraction (2002) (24)
- Networks adjusting networks (1990) (24)
- 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)
- Lococode Performs Nonlinear ICA Without Knowing The Number Of Sources (1999) (23)
- A Perspective on Objects and Systematic Generalization in Model-Based RL (2019) (22)
- Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition (2016) (22)
- Domain-Adversarial Training for Session Independent EMG-based Speech Recognition (2018) (22)
- A comparison of algorithms and humans for mitosis detection (2014) (22)
- Mars terrain image classification using Cartesian genetic programming (2012) (22)
- The Modular Behavioral Environment for Humanoids and other Robots (MoBeE) (2012) (22)
- Facial beauty and fractal geometry (1998) (22)
- The two-dimensional organization of behavior (2011) (21)
- Hierarchical reinforcement learning with subpolicies specializing for learned subgoals (2004) (21)
- Learning Associative Inference Using Fast Weight Memory (2020) (21)
- 2006: Celebrating 75 Years of AI - History and Outlook: The Next 25 Years (2007) (21)
- Learning spatial object localization from vision on a humanoid robot (2012) (21)
- Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis (2012) (20)
- Curiosity-driven optimization (2011) (20)
- Bias-Optimal Incremental Problem Solving (2002) (20)
- Transferring spatial perception between robots operating in a shared workspace (2012) (20)
- Direct Policy Search and Uncertain Policy Evaluation (1998) (19)
- Continuous history compression (1993) (19)
- Incremental Basis Construction from Temporal Difference Error (2011) (19)
- Linear Transformers Are Secretly Fast Weight Memory Systems (2021) (19)
- Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes (2014) (19)
- Searching for Minimal Neural Networks in Fourier Space (2010) (19)
- Sequential Constant Size Compressors for Reinforcement Learning (2011) (19)
- Coherence Progress: A Measure of Interestingness Based on Fixed Compressors (2011) (19)
- Science as By-Products of Search for Novel Patterns , or Data Compressible in Unknown Yet Learnable Ways (2009) (18)
- Rapid Retraining on Speech Data with LSTM Recurrent Networks. (2005) (18)
- Growing Recursive Self-Improvers (2016) (18)
- Scalable Neural Networks for Board Games (2009) (18)
- A Formal Theory of Creativity to Model the Creation of Art (2012) (18)
- Artificial curiosity for autonomous space exploration (2011) (18)
- Intrinsically Motivated Evolutionary Search for Vision-Based Reinforcement Learning (2011) (18)
- A Wavelet-based Encoding for Neuroevolution (2016) (18)
- Artificial General Intelligence - 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011. Proceedings (2011) (17)
- R-SQAIR: Relational Sequential Attend, Infer, Repeat (2019) (17)
- Continual Prediction using LSTM with Forget Gates (1999) (17)
- Policy Gradient Critics (2007) (17)
- A Family of Gödel Machine Implementations (2011) (17)
- Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity (2007) (17)
- Gödel Machines: Towards a Technical Justification of Consciousness (2005) (17)
- Confidence-based progress-driven self-generated goals for skill acquisition in developmental robots (2013) (17)
- On Learning Soccer Strategies (1997) (16)
- Parameter-based Value Functions (2020) (16)
- Formal Theory of Fun and Creativity (2010) (16)
- Multi-Agent Learning with the Success-Story Algorithm (1996) (16)
- Sequential Decision Making Based on Direct Search (2001) (16)
- Investigations on End- to-End Audiovisual Fusion (2018) (15)
- RNN-based Learning of Compact Maps for Efficient Robot Localization (2007) (15)
- Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients (2010) (15)
- Multimodal Parameter-exploring Policy Gradients (2010) (15)
- Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity (2013) (15)
- Impact of Censored Sampling on the Performance of Restart Strategies (2006) (15)
- Explore to see, learn to perceive, get the actions for free: SKILLABILITY (2014) (14)
- Unsupervised Coding with LOCOCODE (1997) (14)
- Towards Practical Universal Search (2010) (14)
- The IM-CLeVeR Project : Intrinsically Motivated Cumulative Learning Versatile Robots (2009) (14)
- An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision) (2012) (14)
- Humanoid learns to detect its own hands (2013) (14)
- Hierarchical Relational Inference (2020) (13)
- Evolutionary computation versus reinforcement learning (2000) (13)
- Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition (2010) (13)
- Don't forget randomness is still just a hypothesis (2006) (13)
- Artificial Scientists & Artists Based on the Formal Theory of Creativity (2010) (13)
- Compressed Network Complexity Search (2012) (13)
- Automatic discrimination among languages based on prosody alone (1999) (13)
- Countering Poisonous Inputs with Memetic Neuroevolution (2008) (13)
- icVision: A modular vision system for cognitive robotics research (2012) (13)
- Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious (2013) (13)
- Comparing Prosody Across Many Languages (1999) (13)
- Unsupervised Object Keypoint Learning using Local Spatial Predictability (2020) (13)
- The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization (2021) (13)
- Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning (2009) (13)
- AutoIncSFA and vision-based developmental learning for humanoid robots (2011) (13)
- Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization (2019) (13)
- Autonomous learning of robust visual object detection and identification on a humanoid (2012) (12)
- On-Chip Electric Waves: An Analog Circuit Approach to Physical Uncloneable Functions (2009) (12)
- Accelerated learning in back-propagation nets (1989) (12)
- Recurrent Neural Processes (2019) (12)
- Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams (2011) (12)
- Modular deep belief networks that do not forget (2011) (12)
- Learning visual object detection and localisation using icVision (2013) (12)
- My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013 (2013) (12)
- Discovering Boolean Gates in Slime Mould (2016) (12)
- An 'introspective' network that can learn to run its own weight change algorithm (1993) (12)
- Generalized compressed network search (2012) (11)
- Teleoperation of a 7 DOF humanoid robot arm using human arm accelerations and EMG signals (2014) (11)
- Neural Networks for Segmenting Neuronal Structures in EM Stacks (2012) (11)
- Algorithmic complexity bounds on future prediction errors (2007) (11)
- On the Size of the Online Kernel Sparsification Dictionary (2012) (11)
- Learning to Generate Focus Trajectories for Attentive Vision (2019) (11)
- Predictive Coding with Neural Nets: Application to Text Compression (1994) (11)
- Driven by Compression Progress (2008) (11)
- Classifying Unprompted Speech by Retraining LSTM Nets (2005) (11)
- A Modern Self-Referential Weight Matrix That Learns to Modify Itself (2022) (11)
- HQ-Learning: Discovering Markovian Subgoals for Non-Markovian Reinforcement Learning (1996) (11)
- Gradient-based Reinforcement Planning in Policy-Search Methods (2001) (11)
- Evolving Soccer Strategies (1997) (11)
- Autonomous reinforcement of behavioral sequences in neural dynamics (2012) (11)
- Processing images by semi-linear predictability minimization. (1997) (11)
- Towards an Actual Gödel Machine Implementation: a Lesson in Self-Reflective Systems (2012) (11)
- Novel Kernel-Based Recognizers of Human Actions (2010) (11)
- A scalable neural network architecture for board games (2008) (10)
- Reinforcement Learning with Interacting Continually Running Fully Recurrent Networks (1990) (10)
- Episodic Reinforcement Learning by Logistic Reward-Weighted Regression (2008) (10)
- A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition (2004) (10)
- Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters (2002) (10)
- Philosophers & Futurists, Catch Up! Response to The Singularity (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)
- Active Learning with Adaptive Grids (2001) (10)
- Policy Gradients for Cryptanalysis (2010) (10)
- Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY (2012) (10)
- Learning Context Sensitive Languages with LSTM Trained with Kalman Filters (2002) (9)
- Bounded Seed-AGI (2014) (9)
- Deep Learning (2015) (9)
- The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention (2022) (9)
- Anytime Bounded Rationality (2015) (9)
- Hierarchical Incremental Slow Feature Analysis (2012) (9)
- H-PIPE: Facilitating Hierarchical Program Evolution through Skip Nodes (1998) (9)
- Model-based reinforcement learning for evolving soccer strategies (2001) (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)
- Prototype Resilient, Self-Modeling Robots (2007) (9)
- CMAC models learn to play soccer (1998) (9)
- Autocatalytic endogenous reflective architecture (2013) (8)
- Evolving strategies for active flow control (2000) (8)
- Is it enough to optimize CNN architectures on ImageNet? (2021) (8)
- An EM Based Training Algorithm for Recurrent Neural Networks (2009) (8)
- Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot (2006) (8)
- AUTONOMOUS ACQUISITION OF NATURAL LANGUAGE (2014) (8)
- Improving robot vision models for object detection through interaction (2014) (8)
- Towards Distributed Algorithm Portfolios (2008) (8)
- Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots (2013) (8)
- Speeding up Q(lambda)-Learning (1998) (7)
- Dekf-lstm (2002) (7)
- LOCOCODE versus PCA and ICA (1998) (7)
- The Fastest Way of Computing All Universes (2012) (7)
- Source Separation as a By-Product of Regularization (1998) (7)
- Environment-Independent Reinforcement Acceleration (1995) (7)
- Unsupervised Learning in Recurrent Neural Networks (2001) (7)
- Bayesian Brains and the Rényi Divergence (2021) (6)
- Are Neural Nets Modular? Inspecting Their Functionality Through Differentiable Weight Masks (2020) (6)
- Improving Generalization in Meta Reinforcement Learning using Neural Objectives (2020) (6)
- The DeepScoresV2 Dataset and Benchmark for Music Object Detection (2020) (6)
- Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback (2013) (6)
- Efficient Interactive Multiclass Learning from Binary Feedback (2014) (6)
- Learning what to ignore: Memetic climbing in topology and weight space (2008) (6)
- Testing Hypotheses by Regularized Maximum Mean Discrepancy (2013) (5)
- Evolving Structured Programs with Hierarchical Instructions and Skip Nodes (1998) (5)
- Learning Algorithms for Networks with Internal and External Feedback (1990) (5)
- Deep Learning: Our Miraculous Year 1990-1991 (2020) (5)
- Learning Exploration Policies with Models (1998) (5)
- Unconventional computing using evolution-in-nanomaterio: neural networks meet nanoparticle networks (2016) (5)
- A Python Experiment Suite (2011) (5)
- Using data compressors to construct order tests for homogeneity and component independence (2009) (5)
- Goal-Conditioned Generators of Deep Policies (2022) (5)
- Nonlinear ICA through low-complexity autoencoders (1999) (4)
- Steps Towards 'Self-Referential' Neural Learning: A Thought Experiment ; CU-CS-627-92 (1992) (4)
- Recurrent Support Vector Machines (2005) (4)
- Citation bubble about to burst? (2011) (4)
- From probabilities to programs with probabilistic incremental program evolution (1999) (4)
- Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets (2022) (4)
- T-Learning (2011) (4)
- The neural bucket brigade (1989) (4)
- Unsupervised Modeling of Partially Observable Environments (2011) (4)
- Unsupervised learning of low-level audio features for music similarity estimation (2011) (4)
- A Frequency-Domain Encoding for Neuroevolution (2012) (4)
- Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers (2022) (4)
- Adaptation of an EMG-Based Speech Recognizer via Meta-Learning (2019) (4)
- Online Dynamic Algorithm Portfolios: Minimizing the computational cost of problem solving, Informatics (2010) (4)
- Optimal Control Using the Transport Equation: The Liouville Machine (2001) (4)
- Evolution of National Nobel Prize Shares in the 20th Century (2010) (4)
- Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients (2021) (4)
- Neural Predictors for Detecting and Removing Redundant Information (2000) (4)
- Optimal Direct Policy Search (2011) (3)
- Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules (2022) (3)
- Training and Generating Neural Networks in Compressed Weight Space (2021) (3)
- Approaches to the Representation of Knowledge (1990) (3)
- Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter (2022) (3)
- Fast Color-Based Object Recognition Independent of Position and Orientation (2005) (3)
- Deep neural network representation and Generative Adversarial Learning (2021) (3)
- Motion Dynamics Improve Speaker-Independent Lipreading (2020) (3)
- All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL (2022) (3)
- Comparing the legacies of Gauss, Pasteur and Darwin. (2008) (3)
- Autonomous Acquisition of Natural Situated Communication (2014) (3)
- Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning (2016) (3)
- Meta-Learning for Recalibration of EMG-Based Upper Limb Prostheses (2020) (3)
- General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States (2022) (3)
- Draft : Deep Learning in Neural Networks : An Overview (2014) (3)
- Multi-Dimensional Deep Memory Go-Player for Parameter Exploring Policy Gradients (2010) (3)
- Using sequential adaptive neuro-control for efficient learning of rotation and translation invariance (1991) (3)
- An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning (2014) (3)
- Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis (2016) (3)
- Python Experiment Suite Implementation (2011) (3)
- Sequence learning through PIPE and automatic task decomposition (1999) (3)
- Towards Spatial Perception: Learning to Locate Objects From Vision (2012) (3)
- Turing: Keep his work in perspective (2012) (3)
- Bias-Optimal Incremental Learning of Control Sequences for Virtual Robots (2004) (3)
- Fusion Architectures for Word-Based Audiovisual Speech Recognition (2020) (2)
- Unsupervised Recurrent Neural Networks (2000) (2)
- Object Recognition with Multi-Scale Pyramidal Pooling Networks (2012) (2)
- A novel unsupervised classification method (1993) (2)
- Neural processing of complex continual input streams (2000) (2)
- Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution (2014) (2)
- The Last Inventor of the Telephone (2008) (2)
- Learning to Predict Through Probabilistic Incremental Program Evolution and Automatic Task Decomposition (1998) (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)
- Greatest Thing Since...: What is the Most Significant Invention of the Past Decade, and What Do You Anticipate for the Future? (2011) (2)
- Colossus was the first electronic digital computer (2006) (2)
- Self-Referential Meta Learning (2022) (2)
- Measuring and Optimizing Behavioral Complexity (2009) (2)
- Using Neural Networks to Predict the Functionality of Reconfigurable Nano-material Networks (2017) (2)
- Turing in context. (2012) (2)
- Kernel representations for evolving continuous functions (2012) (1)
- Exploring through Random Curiosity with General Value Functions (2022) (1)
- Robot Learning with State-Dependent Exploration (2008) (1)
- Gambling in a Computationally Expensive Casino : Algorithm Selection as a Bandit Problem (2006) (1)
- Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control (2022) (1)
- Using Data Compressors to Construct Rank Tests (2007) (1)
- Discovering Predictable Classifications ; CU-CS-626-92 (1992) (1)
- The Computational Universe. Review of Programming the Universe: A Quantum Computer Scientist Takes on the Cosmos, by Seth Lloyd (2006) (1)
- Reinforcement and shaping in learning action sequences with neural dynamics (2014) (1)
- Flying into history (2003) (1)
- Improving Baselines in the Wild (2021) (1)
- Parametric Policy Gradients for Robotics (2008) (1)
- Eliminating Meta Optimization Through Self-Referential Meta Learning (2022) (1)
- The new AI is general and mathematically rigorous (2010) (1)
- Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics (2014) (1)
- Turing's war work counts for more than computers (2004) (1)
- Asymmetric Planning for Incremental Real-Time Heuristic Search (2006) (1)
- CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations (2022) (1)
- Adaptive decomposition of time (1991) (1)
- ImageNet as a Representative Basis for Deriving Generally Effective CNN Architectures (2022) (1)
- Prefix-like Complexities of Finite and Infinite Sequences on Generalized Turing Machines. (2005) (1)
- The Natural Gradient as a control signal for a humanoid robot (2015) (1)
- Towards Life-Long Meta Learning (2005) (1)
- An Investigation into the Open World Survival Game Crafter (2022) (1)
- ALife in humanoids: Developing a framework to employ artificial life techniques for high-level perception and cognition tasks on humanoid robots (2013) (1)
- Human-Robot Cooperation: Fast, Interactive Learning from Binary Feedback (2014) (1)
- Reagent prediction with a molecular transformer improves reaction data quality (2023) (1)
- Improving Stateful Premise Selection with Transformers (2021) (1)
- Reward-Weighted Regression Converges to a Global Optimum (2021) (1)
- Guiding Online Reinforcement Learning with Action-Free Offline Pretraining (2023) (1)
- Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules (2022) (1)
- Using Neural Networks to Predict the Functionality of Reconfigurable Nanomaterial Networks (2017) (1)
- Scaling up Multidimensional Recurrent Neural Networks for image segmentation (2016) (0)
- Randomness, Occam's Razor, AI, Creativity and Digital Physics (2011) (0)
- Towards Practical Universal Search Tom (2010) (0)
- Learning Relative Return Policies With Upside-Down Reinforcement Learning (2022) (0)
- Learning Factorial Codes by Predictability Minimization ; CU-CS-565-91 (1991) (0)
- Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits (2020) (0)
- Pipeline for Real-time Anomaly Detection in Log Data Streams using Apache Kafka and Apache Spark (2019) (0)
- GATED FAST WEIGHTS FOR ASSOCIATIVE RETRIEVAL (2018) (0)
- 1 5 D ec 2 00 5 Evolino for Recurrent Support Vector Machines (0)
- How to Learn a Program: Optimal Universal Learners & Goedel Machines (2005) (0)
- Augmenting Classic Algorithms with Neural Components for Strong Generalisation on Ambiguous and High-Dimensional Data (2021) (0)
- UNROLLED ITERATIVE ESTIMATION (2017) (0)
- Proceedings of the 4th international conference on Artificial general intelligence (2011) (0)
- Erratum to: Novel Kernel-Based Recognizers of Human Actions (2012) (0)
- Complexity search for compressed neural networks (2012) (0)
- Accumulator Intrinsic Motivation Block φ L 1 φ L k Input Observations ( x ) Reward Switch (2012) (0)
- Lifelong Credit Assignment with the Success-Story Algorithm (2011) (0)
- Aviation pioneers missed out on publicity (2019) (0)
- No . IDSIA-04-08 1 Phoneme recognition in TIMIT with BLSTM-CTC (2008) (0)
- Aviation pioneers missed out on publicity (2019) (0)
- Erratum to: Novel Kernel-Based Recognizers of Human Actions (2012) (0)
- A Technical Justification of Consciousness (2005) (0)
- Unsupervised Extraction of Predictable Abstract Features (1993) (0)
- VIA R ECONSTRUCTION C LUSTERING (2015) (0)
- Low-complexity Art Low-complexity Art Report Fki-197-94 (revised) (1995) (0)
- On Narrative Information and the Distillation of Stories (2022) (0)
- Learning Adaptive Control Flow in Transformers for Improved Systematic Generalization (2021) (0)
- Compression as beauty and how the success of The Dark Side of the Moon hints at a computational brain (2022) (0)
- Topological Neural Discrete Representation Learning à la Kohonen (2023) (0)
- The Project IM-CLeVeR – Intrinsically Motivated Cumulative Learning Versatile Robots : A Toolbox for Research on Intrinsic Motivations and Cumulative Learning (2013) (0)
- Complexity Monotone in Conditions and Future Prediction Errors (2006) (0)
- The Benefits of Model-Based Generalization in Reinforcement Learning (2022) (0)
- Evolving Cell Structures for Sequence Learning (2009) (0)
- "Neural" redundancy reduction for text compression (1993) (0)
- Kernel representations for evolving continuous functions (2012) (0)
- COMPRESSED WEIGHT SPACE (2021) (0)
- A neural network model for adaptive online time allocation (2005) (0)
- Main Results Accomplished by the EU-Funded Project IM-CLeVeR – Intrinsically Motivated Cumulative Learning Versatile Robots (2013) (0)
- EVALUATING BENCHMARK PROBLEMS BY RANDOM GUESSING (2015) (0)
- Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks (2022) (0)
- Automatic Embedding of Stories Into Collections of Independent Media (2021) (0)
- Accelerating Neural Self-Improvement via Bootstrapping (2023) (0)
- Five Answers on Randomness (2009) (0)
- Highlights of Ai History—from Gödel to 2006 (2008) (0)
- Algorithm 1 Curiosity-driven Optimization (2011) (0)
- On decrease of a priori randomness deficiency. (2005) (0)
- Artificial General Intelligence. Proceedings of the 4th International Conference (2011) (0)
- Modular Value Iteration through Regional Decomposition (2012) (0)
- Comparing LSTM Recurrent Networks with Spiking Recurrent Networks on the Recognition of Spoken Digits. (2003) (0)
- Prefix-Like Complexities and Computability in the Limit (2006) (0)
- The New AI is General & Mathematically Rigorous (2010) (0)
- Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks (2022) (0)
- Recurrent Neural Network (2015) (0)
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