Abstract is missing.
- RenderGAN: Generating Realistic Labeled DataLeon Sixt, Benjamin Wild, Tim Landgraf. [doi]
- Particle Value FunctionsChris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Arnaud Doucet, Andriy Mnih, Yee Whye Teh. [doi]
- On Hyperparameter Optimization in Learning SystemsLuca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil. [doi]
- The Preimage of Rectifier Network ActivitiesStefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith. [doi]
- Delving into adversarial attacks on deep policiesJernej Kos, Dawn Song. [doi]
- Understanding intermediate layers using linear classifier probesGuillaume Alain, Yoshua Bengio. [doi]
- Online Multi-Task Learning Using Active SamplingSahil Sharma, Balaraman Ravindran. [doi]
- Trace Norm Regularised Deep Multi-Task LearningYongxin Yang, Timothy M. Hospedales. [doi]
- DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial SamplesJi Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi. [doi]
- Semi-supervised deep learning by metric embeddingElad Hoffer, Nir Ailon. [doi]
- CommAI: Evaluating the first steps towards a useful general AIMarco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomas Mikolov. [doi]
- Recurrent Normalization PropagationCésar Laurent, Nicolas Ballas, Pascal Vincent. [doi]
- Adaptive Feature Abstraction for Translating Video to LanguageYunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin. [doi]
- On Improving the Numerical Stability of Winograd ConvolutionsKevin Vincent, Kevin Stephano, Michael A. Frumkin, Boris Ginsburg, Julien Demouth. [doi]
- Short and Deep: Sketching and Neural NetworksAmit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar. [doi]
- Deep Nets Don't Learn via MemorizationDavid Krueger, Nicolas Ballas, Stanislaw Jastrzebski, Devansh Arpit, Maxinder S. Kanwal, Tegan Maharaj, Emmanuel Bengio, Asja Fischer, Aaron C. Courville. [doi]
- Neu0Karthik R, Aman Achpal, Vinayshekhar BK, Anantharaman Palacode Narayana Iyer, Channa Bankapur. [doi]
- Revisiting Batch Normalization For Practical Domain AdaptationYanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu 0001, Xiaodi Hou. [doi]
- Unseen Style Transfer Based on a Conditional Fast Style Transfer NetworkKeiji Yanai. [doi]
- REBAR: Low-variance, unbiased gradient estimates for discrete latent variable modelsGeorge Tucker, Andriy Mnih, Chris J. Maddison, Jascha Sohl-Dickstein. [doi]
- Tactics of Adversarial Attack on Deep Reinforcement Learning AgentsYen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu 0001, Min Sun. [doi]
- Playing SNES in the Retro Learning EnvironmentNadav Bhonker, Shai Rozenberg, Itay Hubara. [doi]
- Neural Expectation MaximizationKlaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber. [doi]
- De novo drug design with deep generative models : an empirical studyMehdi Cherti, Balázs Kégl, Akin Kazakçi. [doi]
- Synthetic Gradient Methods with Virtual Forward-Backward NetworksTakeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama. [doi]
- Accelerating Eulerian Fluid Simulation With Convolutional NetworksJonathan Tompson, Kristofer Schlachter, Pablo Sprechmann, Ken Perlin. [doi]
- Performance guarantees for transferring representationsDaniel McNamara, Maria-Florina Balcan. [doi]
- Adversarial Attacks on Neural Network PoliciesSandy Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel. [doi]
- Encoding and Decoding Representations with Sum- and Max-Product NetworksAntonio Vergari, Robert Peharz, Nicola Di Mauro, Floriana Esposito. [doi]
- Pl@ntNet app in the era of deep learningAntoine Affouard, Hervé Goëau, Pierre Bonnet, Jean-Christophe Lombardo, Alexis Joly. [doi]
- Unsupervised Perceptual Rewards for Imitation LearningPierre Sermanet, Kelvin Xu, Sergey Levine. [doi]
- Learning Algorithms for Active LearningPhilip Bachman, Alessandro Sordoni, Adam Trischler. [doi]
- Out-of-class novelty generation: an experimental foundationMehdi Cherti, Balázs Kégl, Akin Kazakçi. [doi]
- Memory Matching Networks for Genomic Sequence ClassificationJack Lanchantin, Ritambhara Singh, Yanjun Qi. [doi]
- Learning to Discover Sparse Graphical ModelsEugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew B. Blaschko. [doi]
- Dataset Augmentation in Feature SpaceTerrance Devries, Graham W. Taylor. [doi]
- Multiplicative LSTM for sequence modellingBen Krause, Iain Murray 0001, Steve Renals, Liang Lu. [doi]
- Early Methods for Detecting Adversarial ImagesDan Hendrycks, Kevin Gimpel. [doi]
- Forced to Learn: Discovering Disentangled Representations Without Exhaustive LabelsAlexey Romanov, Anna Rumshisky. [doi]
- A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial SamplesBeilun Wang, Ji Gao, Yanjun Qi. [doi]
- Char2Wav: End-to-End Speech SynthesisJose Sotelo, Soroush Mehri, Kundan Kumar, João Felipe Santos, Kyle Kastner, Aaron C. Courville, Yoshua Bengio. [doi]
- Natural Language Generation in Dialogue using Lexicalized and Delexicalized DataShikhar Sharma, Jing He, Kaheer Suleman, Hannes Schulz, Philip Bachman. [doi]
- Song From PI: A Musically Plausible Network for Pop Music GenerationHang Chu, Raquel Urtasun, Sanja Fidler. [doi]
- Restricted Boltzmann Machines provide an accurate metric for retinal responses to visual stimuliChristophe Gardella, Olivier Marre, Thierry Mora. [doi]
- Transferring Knowledge to Smaller Network with Class-Distance LossSeungwook Kim, Hyo-Eun Kim. [doi]
- Unsupervised Feature Learning for Audio AnalysisMatthias Meyer 0005, Jan Beutel, Lothar Thiele. [doi]
- Robustness to Adversarial Examples through an Ensemble of SpecialistsMahdieh Abbasi, Christian Gagné. [doi]
- Perception Updating Networks: On architectural constraints for interpretable video generative modelsEder Santana, José C. Príncipe. [doi]
- On Robust Concepts and Small Neural NetsAmit Deshpande 0001, Sushrut Karmalkar. [doi]
- Development of JavaScript-based deep learning platform and application to distributed trainingMasatoshi Hidaka, Ken Miura, Tatsuya Harada. [doi]
- Explaining the Learning Dynamics of Direct Feedback AlignmentJustin Gilmer, Colin Raffel, Samuel S. Schoenholz, Maithra Raghu, Jascha Sohl-Dickstein. [doi]
- Generalizable Features From Unsupervised LearningMehdi Mirza, Aaron C. Courville, Yoshua Bengio. [doi]
- Precise Recovery of Latent Vectors from Generative Adversarial NetworksZachary C. Lipton, Subarna Tripathi. [doi]
- Deep Kernel Machines via the Kernel Reparametrization TrickJovana Mitrovic, Dino Sejdinovic, Yee Whye Teh. [doi]
- Training a Subsampling Mechanism in ExpectationColin Raffel, Dieterich Lawson. [doi]
- Joint Multimodal Learning with Deep Generative ModelsMasahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo. [doi]
- Charged Point Normalization: An Efficient Solution to the Saddle Point ProblemArmen Aghajanyan. [doi]
- Loss is its own Reward: Self-Supervision for Reinforcement LearningEvan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell. [doi]
- Fast Generation for Convolutional Autoregressive ModelsPrajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang 0001, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang. [doi]
- Variational Intrinsic ControlKarol Gregor, Danilo Jimenez Rezende, Daan Wierstra. [doi]
- Discovering objects and their relations from entangled scene representationsDavid Raposo, Adam Santoro, David G. T. Barrett, Razvan Pascanu, Tim Lillicrap, Peter Battaglia. [doi]
- Adversarial Examples for Semantic Image SegmentationVolker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox. [doi]
- The High-Dimensional Geometry of Binary Neural NetworksAlexander G. Anderson, Cory P. Berg. [doi]
- Efficient Sparse-Winograd Convolutional Neural NetworksXingyu Liu, Song Han, Huizi Mao, William J. Dally. [doi]
- Compact Embedding of Binary-coded Inputs and Outputs using Bloom FiltersJoan Serrà, Alexandros Karatzoglou. [doi]
- Unsupervised and Scalable Algorithm for Learning Node RepresentationsTiago Pimentel, Adriano Veloso, Nivio Ziviani. [doi]
- Adversarial examples in the physical worldAlexey Kurakin, Ian J. Goodfellow, Samy Bengio. [doi]
- Accelerating SGD for Distributed Deep-Learning Using an Approximted Hessian MatrixSébastien M. R. Arnold, Chunming Wang. [doi]
- Shake-Shake regularization of 3-branch residual networksXavier Gastaldi. [doi]
- Training Triplet Networks with GANMaciej Zieba, Lei Wang 0001. [doi]
- Fast Chirplet Transform Injects Priors in Deep Learning of Animal Calls and SpeechHervé Glotin, Julien Ricard, Randall Balestriero. [doi]
- Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning resultsAntti Tarvainen, Harri Valpola. [doi]
- Regularizing Neural Networks by Penalizing Confident Output DistributionsGabriel Pereyra, George Tucker, Jan Chorowski, Lukasz Kaiser, Geoffrey E. Hinton. [doi]
- Lifelong Perceptual Programming By ExampleAlexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow. [doi]
- Tuning Recurrent Neural Networks with Reinforcement LearningNatasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck. [doi]
- Coupling Distributed and Symbolic Execution for Natural Language QueriesLili Mou, Zhengdong Lu, Hang Li 0001, Zhi Jin. [doi]
- A Differentiable Physics Engine for Deep Learning in RoboticsJonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels. [doi]
- Arbitrary Style Transfer in Real-time with Adaptive Instance NormalizationXun Huang, Serge J. Belongie. [doi]
- Generative Adversarial Learning of Markov ChainsJiaming Song, Shengjia Zhao, Stefano Ermon. [doi]
- Extrapolation and learning equationsGeorg Martius, Christoph H. Lampert. [doi]
- Embracing Data AbundanceOndrej Bajgar, Rudolf Kadlec, Jan Kleindienst. [doi]
- Variational Reference PriorsEric T. Nalisnick, Padhraic Smyth. [doi]
- Compositional Kernel MachinesRobert Gens, Pedro M. Domingos. [doi]
- Intelligent synapses for multi-task and transfer learningBen Poole, Friedemann Zenke, Surya Ganguli. [doi]
- Automated Generation of Multilingual Clusters for the Evaluation of Distributed RepresentationsPhilip Blair, Yuval Merhav, Joel Barry. [doi]
- Efficient variational Bayesian neural network ensembles for outlier detectionNick Pawlowski, Miguel Jaques, Ben Glocker. [doi]
- Exponential MachinesAlexander Novikov, Mikhail Trofimov, Ivan V. Oseledets. [doi]
- Symmetry-Breaking Convergence Analysis of Certain Two-layered Neural Networks with ReLU nonlinearityYuandong Tian. [doi]
- Audio Super-Resolution using Neural NetworksVolodymyr Kuleshov, S. Zayd Enam, Stefano Ermon. [doi]
- Neural Functional ProgrammingJohn K. Feser, Marc Brockschmidt, Alexander L. Gaunt, Daniel Tarlow. [doi]
- Bit-Pragmatic Deep Neural Network ComputingJorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Andreas Moshovos. [doi]
- Joint Embeddings of Scene Graphs and ImagesEugene Belilovsky, Matthew B. Blaschko, Ryan Kiros, Raquel Urtasun, Richard S. Zemel. [doi]
- Joint Training of Ratings and Reviews with Recurrent Recommender NetworksChao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola. [doi]
- Online Structure Learning for Sum-Product Networks with Gaussian LeavesWilson Hsu, Agastya Kalra, Pascal Poupart. [doi]
- Programming With a Differentiable Forth InterpreterMatko Bosnjak, Tim Rocktäschel, Jason Naradowsky, Sebastian Riedel 0001. [doi]
- The Effectiveness of Transfer Learning in Electronic Health Records DataSébastien Dubois, Nathanael Romano, Kenneth Jung, Nigam Shah, David C. Kale. [doi]
- A Smooth Optimisation Perspective on Training Feedforward Neural NetworksHao Shen. [doi]
- Towards an automatic Turing test: Learning to evaluate dialogue responsesRyan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau. [doi]
- Neural Combinatorial Optimization with Reinforcement LearningIrwan Bello, Hieu Pham, Quoc V. Le, Mohammad Norouzi 0002, Samy Bengio. [doi]
- Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of SymbolsSerhii Havrylov, Ivan Titov. [doi]
- Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network PoliciesMarwin H. S. Segler, Mike Preuss, Mark P. Waller. [doi]
- Semantic embeddings for program behaviour patternsAlexander Chistyakov, Ekaterina Lobacheva, Arseny Kuznetsov, Alexey Romanenko. [doi]
- Fast Adaptation in Generative Models with Generative Matching NetworksSergey Bartunov, Dmitry P. Vetrov. [doi]
- Dance Dance ConvolutionChris Donahue, Zachary C. Lipton, Julian McAuley. [doi]
- Reinterpreting Importance-Weighted AutoencodersChris Cremer, Quaid Morris, David Duvenaud. [doi]
- Factorization tricks for LSTM networksOleksii Kuchaiev, Boris Ginsburg. [doi]
- Changing Model Behavior at Test-time Using Reinforcement LearningAugustus Odena, Dieterich Lawson, Christopher Olah. [doi]
- Gated Multimodal Units for Information FusionJohn Edison Arevalo Ovalle, Thamar Solorio, Manuel Montes-y-Gómez, Fabio A. González. [doi]
- Adversarial Discriminative Domain Adaptation (workshop extended abstract)Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell. [doi]
- Deep Learning with Sets and Point CloudsSiamak Ravanbakhsh, Jeff G. Schneider, Barnabás Póczos. [doi]
- Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing WorldSahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano. [doi]