Practical Recommendations for Gradient-Based Training of Deep Architectures von Bengio, Yoshua

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Inductive biases for deep learning of higher-level cognition von Goyal, Anirudh, Bengio, Yoshua

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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation von Scellier, Benjamin, Bengio, Yoshua

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Government Interventions to Avert Future Catastrophic AI Risks von Yoshua Bengio

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On the Expressive Power of Deep Architectures von Bengio, Yoshua, Delalleau, Olivier

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Deep convolutional networks for quality assessment of protein folds von Derevyanko, Georgy, Grudinin, Sergei, Bengio, Yoshua, Lamoureux, Guillaume

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Light Gated Recurrent Units for Speech Recognition von Ravanelli, Mirco, Brakel, Philemon, Omologo, Maurizio, Bengio, Yoshua

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Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark von Zhang, Xu-Yao, Bengio, Yoshua, Liu, Cheng-Lin

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Representational Power of Restricted Boltzmann Machines and Deep Belief Networks von Le Roux, Nicolas, Bengio, Yoshua

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STDP-Compatible Approximation of Backpropagation in an Energy-Based Model von Bengio, Yoshua, Mesnard, Thomas, Fischer, Asja, Zhang, Saizheng, Wu, Yuhuai

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Deep Belief Networks Are Compact Universal Approximators von Le Roux, Nicolas, Bengio, Yoshua

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Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding von Mesnil, Gregoire, Dauphin, Yann, Kaisheng Yao, Bengio, Yoshua, Li Deng, Hakkani-Tur, Dilek, Xiaodong He, Heck, Larry, Tur, Gokhan, Dong Yu, Zweig, Geoffrey

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Catalyzing next-generation Artificial Intelligence through NeuroAI von Zador, Anthony, Escola, Sean, Richards, Blake, Ölveczky, Bence, Bengio, Yoshua, Boahen, Kwabena, Botvinick, Matthew, Chklovskii, Dmitri, Churchland, Anne, Clopath, Claudia, DiCarlo, James, Ganguli, Surya, Hawkins, Jeff, Körding, Konrad, Koulakov, Alexei, LeCun, Yann, Lillicrap, Timothy, Marblestone, Adam, Olshausen, Bruno, Pouget, Alexandre, Savin, Cristina, Sejnowski, Terrence, Simoncelli, Eero, Solla, Sara, Sussillo, David, Tolias, Andreas S., Tsao, Doris

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Learning normalized inputs for iterative estimation in medical image segmentation von Drozdzal, Michal, Chartrand, Gabriel, Vorontsov, Eugene, Shakeri, Mahsa, Di Jorio, Lisa, Tang, An, Romero, Adriana, Bengio, Yoshua, Pal, Chris, Kadoury, Samuel

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Justifying and Generalizing Contrastive Divergence von Bengio, Yoshua, Delalleau, Olivier

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Gradient-Based Optimization of Hyperparameters von Bengio, Yoshua

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Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias von Laborieux, Axel, Ernoult, Maxence, Scellier, Benjamin, Bengio, Yoshua, Grollier, Julie, Querlioz, Damien

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Path-filtering in path-integral simulations of open quantum systems using GFlowNets von Lackman-Mincoff, Jeremy, Jain, Moksh, Malkin, Nikolay, Bengio, Yoshua, Simine, Lena

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BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices von Wagstyl, Konrad, Larocque, Stéphanie, Cucurull, Guillem, Lepage, Claude, Cohen, Joseph Paul, Bludau, Sebastian, Palomero-Gallagher, Nicola, Lewis, Lindsay B, Funck, Thomas, Spitzer, Hannah, Dickscheid, Timo, Fletcher, Paul C, Romero, Adriana, Zilles, Karl, Amunts, Katrin, Bengio, Yoshua, Evans, Alan C

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Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning von Cohen, Joseph Paul, Dao, Lan, Roth, Karsten, Morrison, Paul, Bengio, Yoshua, Abbasi, Almas F, Shen, Beiyi, Mahsa, Hoshmand Kochi, Ghassemi, Marzyeh, Li, Haifang, Duong, Tim

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