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than deep nnet ken stanley 2021 01 03 kaist visual number sense in untrained deep neural net 2021 01 01 book intro to probabilistic machine learning 2020 2020 12 28 time hippocampus not only encodes space it ecodes time 2020 12 28 gary marcus choe insights for ai from the human mind 2020 12 26 evaluating agents without rewards 2020 12 25 choe ai debate 2 some interesting take aways 2020 12 25 self choe the information theory of individuality 2020 12 20 why we need to study behavior to understand the brain 2020 12 18 neurips faster more efficient alternatives to backprop 2020 12 17 samsung head researcher wants human ai interactions to be multimodal sebastian seung 2020 12 16 if deep learning is the answer what is the question 2020 12 16 accurate neural network computer vision without the black box 2020 12 11 rl deep rl architecture combines pre learned skills to create new sets of skills on the fly 2020 12 09 ai debate 2 2020 12 08 do wide and deep neural networks learn the same thing 2020 12 08 hbp choe a documentary on the 1 billion euro european brain project 2020 12 07 visualization of self attention 2020 12 05 cauaslity causal discovery in physical systems from videos 2020 12 04 grounding action concept grounding network for semantically consistent video generation 2020 12 01 ai that designs its own robots 2020 11 23 lab seminar high frequency component helps explain the generalization of cnn 2020 11 18 icml meta learning tutorial 2020 11 09 lab seminar neural circuit policies enabling auditable autonomy 2020 11 06 robot neurorobots as a means toward neuroethology and explainable ai 2020 11 02 lab seminar choe time brain and neural networks 2020 10 29 next generation of ai 2020 10 27 100 ai use cases 2020 10 22 biologically inspired neural networks for self driving card 2020 10 16 ai algorithm learning with practically no data 2020 10 06 state of ai report 2020 2020 10 05 lecun implicit rank minimizing auto encoder 2020 10 05 lab seminar towards practical hierarchical reinforcement learning for multi lane autonomous driving 2020 10 04 use of transformers in vision 2020 10 04 image augmentation is all you need 2020 09 30 slot attention based classifier for explainable image recognition 2020 09 28 lab seminar few shot learning with global class representations 2020 09 21 lab seminar towards universal representation learning for deep face recognition 2020 09 17 consciousness how to give ai consciousness 2020 09 16 buzsaki choe the brain from inside out by gyorgy buzsaki 2020 09 10 neural signal statistics and sensory gain control shared by chul sung 2020 09 09 philosophy oxford s free course on critical reasoning for beginners 2020 08 31 lab seminar li synthesizing light field from a single image with variable mpi and two network fusion 2020 08 29 neuralink brain chip presentation by elon musk 2020 08 25 neuralink neuralink brain implant chip 2020 08 22 philosophy choe philosopher ai gpt 3 awesome 2020 08 21 meaning lake choe word meaning in minds and machines 2020 08 19 choe math genealogy project 2020 08 14 using ears not just eyes improves robot perception 2020 08 05 metric learning reality check 2020 08 05 causality causal entropic forces a very interesting paper from 2013 2020 08 04 can this explain why deep learning works so well 2020 07 30 contrastive self supervised learning 2020 07 20 hack your sensors neosensory challenge 2020 07 20 faecbook unsupervised learning of visual features by contrasting cluster assignments 2020 07 16 object files and schemata factorizing declarative and procedural knowledge in dynamical systems 2020 07 16 choe thoughts on learning motor primitives 2020 07 15 learning to learn 2020 07 14 buzsaki mystery of the brain shared by qing wan 2020 07 11 cvpr workshop on continual learning 2020 07 08 prediction to make sense of the present brains may predict the future 2020 06 30 choe my lecture on the limitations of deep learning and how to overcome them 2020 06 24 prediction choe probing emergent semantics in predictive agents via question answering 2020 06 22 agi the agi conference 2020 2020 06 21 the unreasonable effectiveness of deep learning in ai 2020 06 11 deep learning state of the art 2020 mit 2020 06 08 lecun wisdom by yann lecun 2020 05 25 uber massive lay off at uber ai 2020 05 24 if deep learning is the answer what is the question 2020 05 24 bbc bumble bee plays soccer 2020 05 22 self supervised learning 2020 05 21 neighborhood component analysis 2020 05 21 distilled bert 2020 05 20 symbolic mathematics using deep learning 2020 05 08 choe my ph d student han wang graduated 2020 05 08 bbc an organutan using a saw to cut tree branches 2020 05 06 kording koene randal koene interviews konrad kording 2020 04 26 ikea furniture assembly environment 2020 04 25 open problems in artificial life 2020 04 22 robot robots with insect brains by barbara webb 2020 04 18 mind choe why your brain is not a computer 2020 04 17 facebook evolutionary optimization platform by facebook 2020 04 16 openai openai microscope visualization tool set shared by khuong nguyen 2020 04 15 wolfram stephen wolfram explains everything with his latest theory 2020 04 09 deepmind agent57 plays all 57 atari 2600 games dqn 2020 04 06 clune open ended reinforcement learning 2020 03 31 memory choe bayesian superorganism iii externalized memories facilitates 2020 03 30 evolutionary population curriculum 2020 03 25 choe arxiv sanity excellent resource for finding and organizing papers 2020 03 23 grounding a survey on symbol emergence 2020 03 21 autonomous driving company shuts down 2020 03 04 sejnowski choe the unreasonable effectiveness of deep learning in ai terry sejnowski 2020 03 04 choe my chapter in the inns 30th anniversary book 2020 03 03 training neural nets faster on cpus than gpus 2020 03 03 rl deep rl in the real world shared by khuong nguyen 2020 02 29 gestalt choe insight learning a paradigm to make deep learning better 2020 02 28 gradient free learning 2020 02 23 uber ai generative teaching network gtn 2020 02 19 deepmind new rl papers ht khuong nguyen 2020 02 16 gary marcus choe next decade in ai 2020 02 06 allen institute visual cortical neurons behave not like we thought 2020 01 29 facebook group mirror 2019 2019 12 31 old postings not from the facebook group 2019 10 08 editable neural networks 2019 10 04 training free artificial neural networks 2019 09 04 uber evograd lightweight library for gradient based evolution 2019 06 05 mit ibm neurosymbolic ai 2019 06 05 discovering neural wirings 2019 05 28 learning the depths of moving people by watching frozen people 2019 05 15 book possible minds twenty five ways of looking at ai 2019 05 02 newton newton s eye poke experiment 2019 04 25 specaugment a simple data augmentation method for automatic speech recognition 2019 04 23 morphnet fast simple resource constrained structure learning of deep networks 2019 04 12 sony neural network libraries by sony nabla 2019 04 10 hopfield unsupervised learning by competing hidden units 2019 04 10 classic a critique of pure vision by churchland ramachandran and sejnowski 2019 04 03 stanford weak supervision a new programming paradigm for machine learning 2019 04 01 how the brain links gestures perception and meaning 2019 03 06 gpipe efficient training of giant neural networks using pipeline parallelism 2019 03 06 embodiement embodied multimodal multitask learning 2019 03 06 autocurricula and the emergence of innovation from social interaction a manifesto for multi agent intelligence research 2019 03 04 how do mixture density rnns predict the future 2019 02 08 the evolved transformer 2019 02 01 robot self aware machines robot that can imagine itself 2019 01 08 oudeyer curiosity driven exploration of learned disentangled goal spaces 2019 01 07 slimmable neural networks 2019 01 07 reconciling modern machine learning and the bias variance trade off 2019 01 07 an empirical study of example forgetting during deep neural network learning 2018 2018 12 20 bbs building machines that learn and think like people 2018 12 05 speaker recognition from raw waveform with sincnet 2018 11 30 structured pruning of neural networks with budget aware regularization 2018 11 30 joint neural architecture search and quantization 2018 11 30 dataset distillation 2018 11 27 uber stanley go explore solves montezumas revenge 2018 11 26 sampling can be faster than optimization 2018 11 23 choe artificial 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 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