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rtificial intelligence in the age of neural networks and brain computing 2018 11 13 massively parallel hyperparameter tuning 2018 11 12 flops as a direct optimization objective for learning sparse neural networks 2018 11 08 you only search once single shot neural architecture search via direct sparse optimization 2018 11 08 kording towards learning to learn 2018 11 08 how deep is deep enough optimizing deep neural network architecture 2018 11 08 atomic an atlas of machine commonsense for if then reasoning 2018 11 01 openai reinforcement learning with prediction based rewards 2018 10 31 ibm fabric for deep learning ffdl 2018 10 29 olfaction choe on the nose sissel tolaas is a star in the world of smells 2018 10 26 curiosity honda teams up with mit and others to develop curious ai 2018 10 24 curiosity large scale study of curiosity driven learning 2018 10 22 adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links 2018 10 05 unsupervised learning via meta learning 2018 10 05 recurrent world models facilitate policy evolution 2018 09 28 resilient computing with reinforcement learning on a dynamical system case study in sorting 2018 09 28 google brain ai needs a little bit of robot ai 2018 09 27 the elephant in the room 2018 09 27 deepmind neuroscience inspired ai 2018 09 20 gan lab understanding complex deep generative models using interactive visual experimentation 2018 09 18 advancing ai by exploring the minds of children 2018 09 14 neural architecture search a survey 2018 09 14 accelerating deep neural networks with spatial bottleneck modules 2018 09 10 facebook hash tag label based image data set 2018 08 30 google rl open source rl framework 2018 08 29 polani intrinsic changing the environment based on empowerment as intrinsic motivation 2018 08 23 lucid tools for research in neural network interpretability 2018 08 23 mcculloch pitts what the frog s eye tells the frog s brain 1959 paper 2018 08 20 large scale study of curiosity driven learning 2018 08 16 l shapley and c shapley efficient model interpretation for structured data 2018 08 14 oboe collaborative filtering for automl initialization 2018 08 14 evolution backprop evolution 2018 08 03 philosophy andy clark embodied mind 2018 07 30 towards understanding the role of over parametrization in generalization of neural networks 2018 07 25 simulating action dynamics with neural process networks 2018 07 23 speeding up the hyperparameter optimization of deep convolutional neural networks 2018 07 23 kording toward an integration of deep learning and neuroscience 2018 07 23 eigenvector continuation with subspace learning 2018 07 20 3d image reveals hidden neurons in fruit fly brain 2018 07 17 darts differentiable architecture search 2018 07 12 hypernetworks 2018 07 12 evolution convolution by evolution differentiable pattern producing networks 2018 07 11 rl why rl is flawed 2018 07 11 evoluition co evolution and ai 2018 07 06 taskonomy disentangling task transfer learning 2018 07 06 gradient acceleration in activation functions 2018 07 06 cnn an intriguing failing of convolutional neural networks and the coordconv solution 2018 06 15 a simple method for commonsense reasoning 2018 06 14 sparsenet a sparse densenet for image classification 2018 06 12 path level network transformation for efficient architecture search 2018 06 01 theory probabilities over what 2018 06 01 playing hard exploration games by watching youtube 2018 05 21 neural language representations predict outcomes of scientific research 2018 05 21 knowledge distillation in generations more tolerant teachers educate better students 2018 05 17 understanding convolutional neural network training with information theory 2018 05 17 taskonomy disentangling task transfer learning 2018 05 17 openai ai and compute moore s law 2018 05 17 compressibility and generalization in large scale deep learning 2018 05 17 a taxonomy for neural memory networks 2018 05 09 substitute teacher networks learning with almost no supervision 2018 05 09 deepmind prefrontal cortex as a meta reinforcement learning system 2018 05 08 how robust are deep neural networks 2018 05 02 is neuromorphic ai the next big thing 2018 04 30 learning awareness models 2018 04 30 hierarchical representations for efficient architecture search 2018 04 27 adversarial network compression 2018 04 26 the kanerva machine a generative distributed memory 2018 04 20 exploring manifolds using pretrained cnns for unsupervised tuning 2018 04 11 uber stanley differentiable plasticity a new method for learning to learn 2018 04 10 dev keras templates 2018 04 03 schmidhuber world models 2018 04 03 how to find the hyperparameters more efficiently 2018 04 03 grounding unsupervised textual grounding 2018 04 02 deepmind prediction memory and prediction based approach for pomdp problems 3d maze 2018 03 29 speeding up learning with importance sampling 2018 03 29 not all samples are created equal deep learning with importance sampling 2018 03 29 risto from nodes to networks evolving recurrent neural networks 2018 03 29 bair composable deep reinforcement learning for robotic manipulation 2018 03 24 neural plasticity only occurs near the major trunks near the soma 2018 03 23 deepmind understanding deep learning through neuron deletion 2018 03 21 lipson self replicating neural networks neural network quine 2018 03 20 how accurate is your ai 2018 03 19 composing policies learned from rl 2018 03 12 sentient evolutionary search for rnns 2018 03 07 investigating human priors for playing video games 2018 02 28 saving samples in external memory during training with context based lookup 2018 02 24 deepmind machine theory of mind 2018 02 23 bair diversity is all you need learning skills without a reward function 2018 02 22 why artificial intelligence like alphazero has trouble with the real world 2018 02 21 using trusted data to train deep networks on labels corrupted by severe noise 2018 02 21 model compression via distillation and quantization 2018 02 21 inverting the generator of a generative adversarial network ii 2018 02 21 generating plans that predict themselves 2018 02 17 ulca deep learning workshop 2018 02 17 neural relational inference for interacting systems 2018 02 15 efficient neural architecture search via parameter sharing 2018 02 13 visual data augmentation through learning 2018 02 13 the matrix calculus you need for deep learning 2018 02 13 regularized evolution for image classifier architecture search 2018 02 13 neural algebra of classifiers 2018 02 13 bayesian coreset construction via greedy iterative geodesic ascent 2018 02 04 dicarlo to advance artificial intelligence reverse engineer the brain 2018 01 30 prnn recurrent neural network with persistent memory 2018 01 30 learning to prune filters in convolutional neural networks 2018 01 30 deepmind learning explanatory rules from noisy data 2018 01 24 meta learning with adaptive layerwise metric and subspace 2018 01 24 in network neural networks 2018 01 24 an overview of machine teaching 2018 01 12 tactile sensenet 3d objects database and tactile simulator 2018 01 12 less is more culling the training set to improve robustness of deep neural networks 2018 01 12 generating neural networks with neural networks 2018 01 12 data augmentation by pairing samples for images classification 2018 01 12 compressing deep neural networks a new hashing pipeline using kac s random walk matrices 2018 01 06 theory of deep learning iii explaining the non overfitting puzzle 2018 01 06 scancomplete large scale scene completion and semantic segmentation for 3d scans 2018 01 06 karpathy software 2 0 2018 01 05 screenernet learning self paced curriculum for deep neural networks 2018 01 04 stanley evolution improving exploration in evolution strategies for deep reinforcement learning via a population of novelty seeking agents 2018 01 03 visualizing the loss landscape of neural nets 2018 01 03 gary marcus deep learning a critical appraisal 2018 01 03 brooks rodney brooks predictions on ai 2018 01 01 intrinsic choe disentangling the independently controllable factors of variation by interacting with the world 2017 2017 12 31 ray rllib a composable and scalable reinforcement learning library 2017 12 26 unifying map and landmark based representations for visual navigation 2017 12 23 model agnostic meta learning for fast adaptation of deep networks 2017 12 23 learning sight from sound ambient sound provides supervision for visual learning 2017 12 22 im2flow motion hallucination from static images for action recognition 2017 12 22 grounding generalized grounding graphs a probabilistic framework for understanding grounded commands 2017 12 22 ai2 thor an interactive 3d environment for visual ai 2017 12 21 high performance ultra low precision convolutions on mobile devices 2017 12 21 fearnet brain inspired model for incremental learning 2017 12 21 experiential distributional and dependency based word embeddings have complementary roles in decoding brain activity 2017 12 21 deep neuroevolution genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning 2017 12 21 cnn karpathy s visualization of cnn representations 2017 12 21 a berkeley view of systems challenges for ai 2017 12 20 neural map structured memory for deep reinforcement learning 2017 12 20 minos multimodal indoor simulator for navigation in complex environments 2017 12 20 learning by asking questions 2017 12 20 gan generalizing gan a turing perspective 2017 12 20 data distillation towards omni supervised learning 2017 07 18 bair maml model agnostic meta learning 2017 04 25 lab seminar cassie bub analysis of time delayed neural networks in ball catching task 2017 04 18 lab seminar nowak lee choe knife edge scanning microscopy towards full scale analysis of the cerebrovasculature system of the whole mouse brain 2017 04 04 lab seminar understanding and self organization 2017 03 21 lab seminar evolution evolving deep neural networks 2017 03 07 lab seminar rnn lecun tracking the world state with recurrent entity networks 2017 02 28 lab seminar reams choe tool emergence of tool construction in an articulated limb controlled by evolved neural circuits 2017 02 14 lab seminar edge org annual questions 2016 2016 12 01 lab seminar essay by christoph von der malsburg ai tinned human thought 2016 11 10 lab seminar nguyen choe explanation of the perceptual oblique effect based on the fidelity of oculomotor control during saccades 2016 10 27 lab seminar toward an integration of deep learning and neuroscience 2016 10 20 lab seminar graves memory hybrid computing using a neural network with dynamic external memory 2016 10 13 lab seminar intrinsic hierarchical deep reinforcement learning integrating temporal abstraction and intrinsic motivation 2016 10 06 lab seminar machine learning needs rich feedback for ai teaching monash professor 2016 09 22 lab seminar cognitive offloading does not prevent but rather promotes cognitive development 2016 09 08 lab seminar mirrors and feelings have you seen the actors outside 2016 05 06 lab seminar freeman a neurobiological interpretation of semiotics meaning representation and information 2016 04 22 lab seminar clune deep neural networks are easily fooled high confidence predictions for unrecognizable images 2016 04 15 lab seminar stigmergy stigmergy as a universal coordination mechanism ii varieties and evolution 2016 04 01 lab seminar nowak choe knife edge scanning microscopy for in silico study of cerebral blood flow from biological imaging data to flow simulations 2016 03 25 lab seminar when machines think and feel 2016 02 19 lab seminar the minority report some common assumptions to reconsider in the modeling of the brain and behavior 2016 02 12 lab seminar the ieee cis cds newsletter dialog section on representational redescription 2016 02 05 lab seminar iit consciousness the problem with phi a critique of integrated information theory 2016 01 29 lab seminar edge org annaul questions 2015 2015 12 02 lab seminar ieee cis newsletter on autonomous mental development 2015 11 18 lab seminar beer connecting a connectome to behavior an ensemble of neuroanatomical models of c elegans klinotaxis 2015 11 11 lab seminar topological basis for the robust distribution of blood to rodent neocortex 2015 10 14 lab seminar the future of the brain essays by the world s leading neuroscientsts 2015 10 07 lab seminar stanley improving evolvability through novelty search and self adaptation 2015 09 30 lab seminar on simplicity and complexity in the brave new world of large scale neuroscience 2015 09 23 lab seminar consciousness block consciousness big science and conceptual clarity 2015 09 09 lab seminar computational rationality a converging paradigm for intelligence in brains minds and machines 2015 04 22 lab seminar parulkar choe autonomous grounding of the optical flow detectors in a simulated visuomotor system of the fly 2015 04 08 lab seminar the mouse that roared neural mechanisms of social hierarchy 2015 04 01 lab seminar bmi the brain computer interface cycle 2015 03 25 lab seminar self taught learning transfer learning from unlabeled data 2015 03 11 lab seminar deep neural networks for acoustic modeling in speech recognition the shared views of four research groups 2015 03 04 lab seminar rl human level control through deep reinforcement learning 2015 02 25 lab seminar self body interoceptive inference emotion and the embodied self 2015 02 18 lab seminar machines that learn to segment images a crucial technology for connectomics 2015 02 11 lab seminar exploration versus exploitation in space mind and society 2015 02 04 lab seminar rl reinforcement learning computational theory and biological mechanisms 2015 01 21 lab seminar edge org 2015 question center 2014 2014 12 03 lab seminar vectorization of optically sectioned brain microvasculature learning aids completion of vascular graphs by connecting gaps and deleting open ended segments 2014 11 05 lab seminar place cells grid cells and the brain s spatial representation system 2014 10 22 lab seminar rl an automated measure of mdp similarity for transfer in reinforcement learning 2014 10 08 lab seminar brain machine interfaces past present and future 2014 09 24 lab seminar cortical control of arm movements a dynamical systems perspective 2014 09 17 lab seminar li choe yoo tool emergence of tool use in an articulated limb controlled by evolved neural circuits 2014 09 10 lab seminar consicousness a mechanistic theory of consciousness 2014 09 03 lab seminar koch hacking the soul 2014 04 04 lab seminar edge org world question center 2014 03 28 lab seminar sporns complex brain networks graph theoretical analysis of structural and functional systems 2014 03 21 lab seminar the neuron classification problem 2014 02 28 lab seminar choe brain connectivity mapping ijcnn tutorial 2013 2014 02 14 lab seminar action developmental perception of the self and action 2...
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