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Recent work has shown how predictive modeling can endow agents with rich knowledge of their surroundings, improving their ability to act in complex environments.
Predictive coding – I
Elias, P · 1955
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Adaptive predictive coding of speech signals
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Meaningful perception
Dretske, F · 1995
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Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
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Epistemology. internet encyclopedia of philosophy, 2007
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Learning to follow navigational directions
Vogel, A. and Jurafsky, D · 2010
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The predictive mind
Hohwy, J · 2013
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Learning to parse natural language commands to a robot control system
Matuszek, C., Herbst, E., Zettlemoyer, L., and Fox, D · 2013
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Efficient estimation of word representations in vector space
Mikolov, T., Chen, K., Corrado, G., and Dean, J · 2013
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Primary visual cortex represents the difference between past and present
Nortmann, N., Rekauzke, S., Onat, S., König, P., and Jancke, D · 2013
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Better generalization with forecasts
Schaul, T. and Ring, M · 2013
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A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
Malinowski, M. and Fritz, M · 2014
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VQA: Visual Question Answering
Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C. L., and Parikh, D · 2015
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Unsupervised visual representation learning by context prediction
Doersch, C., Gupta, A., and Efros, A. A · 2015
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Skip-thought vectors
Kiros, R., Zhu, Y., Salakhutdinov, R. R., Zemel, R., Urtasun, R., Torralba, A., and Fidler, S · 2015
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Language understanding for text-based games using deep reinforcement learning
Narasimhan, K., Kulkarni, T., and Barzilay, R · 2015
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Universal value function approximators
Schaul, T., Horgan, D., Gregor, K., and Silver, D · 2015
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The cybernetic bayesian brain: From interoceptive inference to sensorimotor contingencies
Seth, A. K · 2015
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Unsupervised learning of visual representations using videos
Wang, X. and Gupta, A · 2015
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Understanding intermediate layers using linear classifier probes
Alain, G. and Bengio, Y · 2016
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Beattie, C., Leibo, J. Z., Teplyashin, D., Ward, T., Wainwright, M., Küttler, H., Lefrancq, A., Green, S., Valdés, V., Sadik, A., Schrittwieser, J., Anderson, K., York, S., Cant, M., Cain, A., Bolton, A., Gaffney, S., King, H., Hassabis, D., Legg, S., and Petersen, S · 2016
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Gated-attention architectures for task-oriented language grounding
Chaplot, D. S., Sathyendra, K. M., Pasumarthi, R. K., Rajagopal, D., and Salakhutdinov, R · 2018
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What you can cram into a single $&# vector: Probing sentence embeddings for linguistic properties
Conneau, A., Kruszewski, G., Lample, G., Barrault, L., and Baroni, M · 2018
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Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures
Espeholt, L., Soyer, H., Munos, R., Simonyan, K., Mnih, V., Ward, T., Doron, Y., Firoiu, V., Harley, T., Dunning, I., et al · 2018
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IQA: Visual Question Answering in Interactive Environments
Gordon, D., Kembhavi, A., Rastegari, M., Redmon, J., Fox, D., and Farhadi, A · 2018
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Neural predictive belief representations
Guo, Z. D., Azar, M. G., Piot, B., Pires, B. A., Pohlen, T., and Munos, R · 2018
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Surfing uncertainty
Clark, A · 2016
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Towards conceptual compression
Gregor, K., Besse, F., Rezende, D. J., Danihelka, I., and Wierstra, D · 2016
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Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Decoding the semantic content of natural movies from human brain activity
Huth, A. G., Lee, T., Nishimoto, S., Bilenko, N. Y., Vu, A. T., and Gallant, J. L · 2016
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Reinforcement learning with unsupervised auxiliary tasks
Jaderberg, M., Mnih, V., Czarnecki, W. M., Schaul, T., Leibo, J. Z., Silver, D., and Kavukcuoglu, K · 2016
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Unsupervised learning of visual representations by solving jigsaw puzzles
Noroozi, M. and Favaro, P · 2016
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Context encoders: Feature learning by inpainting
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., and Efros, A. A · 2016
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Representation learning with contrastive predictive coding
Oord, A. v. d., Li, Y., and Vinyals, O · 2018
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Virtualhome: Simulating household activities via programs
Puig, X., Ra, K., Boben, M., Li, J., Wang, T., Fidler, S., and Torralba, A · 2018
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Know what you don’t know: Unanswerable questions for squad
Rajpurkar, P., Jia, R., and Liang, P · 2018
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Rezende, D. J. and Viola, F · 2018
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Hierarchical and interpretable skill acquisition in multi-task reinforcement learning
Shu, T., Xiong, C., and Socher, R · 2018
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Unsupervised predictive memory in a goal-directed agent
Wayne, G., Hung, C.-C., Amos, D., Mirza, M., Ahuja, A., Grabska-Barwinska, A., Rae, J., Mirowski, P., Leibo, J. Z., Santoro, A., et al · 2018
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Predictive coding and thought
Williams, D · 2018
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Interactive Grounded Language Acquisition and Generalization in a 2D World
Yu, H., Zhang, H., and Xu, W · 2018
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Azar, M. G., Piot, B., Pires, B. A., Grill, J.-B., Altché, F., and Munos, R · 2019
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Videonavqa: Bridging the gap between visual and embodied question answering
Cangea, C., Belilovsky, E., Liò, P., and Courville, A · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K · 2019
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Shaping Belief States with Generative Environment Models for RL
Gregor, K., Rezende, D. J., Besse, F., Wu, Y., Merzic, H., and Oord, A. v. d · 2019
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Extending machine language models toward human-level language understanding, 2019
McClelland, J. L., Hill, F., Rudolph, M., Baldridge, J., and Schütze, H · 2019
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Predictive learning extracts latent space representations from sensory observations
Recanatesi, S., Farrell, M., Lajoie, G., Deneve, S., Rigotti, M., and Shea-Brown, E · 2019
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What do you learn from context? probing for sentence structure in contextualized word representations
Tenney, I., Xia, P., Chen, B., Wang, A., Poliak, A., McCoy, R. T., Kim, N., Durme, B. V., Bowman, S., Das, D., and Pavlick, E · 2019
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Shifting the baseline: Single modality performance on visual navigation & QA
Thomason, J., Gordan, D., and Bisk, Y · 2019
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Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Wijmans, E., Datta, S., Maksymets, O., Das, A., Gkioxari, G., Lee, S., Essa, I., Parikh, D., and Batra, D · 2019
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Multi-target embodied question answering
Yu, L., Chen, X., Gkioxari, G., Bansal, M., Berg, T. L., and Batra, D · 2019
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Human instruction-following with deep reinforcement learning via transfer-learning from text, 2020
Hill, F., Mokra, S., Wong, N., and Harley, T · 2020
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