Sam J. Gershman - Related publications

Affiliations: 
Princeton University, Princeton, NJ 
 Psychology Harvard University, Cambridge, MA, United States 
Area:
Cognitive & computational neuroscience
NOTE: We are testing a new system for identifying relevant work based on semantic analysis that identifies similarities between recently published papers and the current author's publications. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches.
50 most relevant papers in past 60 days:
Year Citation  Score
2020 Lafontaine MP, Knoth IS, Lippé S. Learning abilities. Handbook of Clinical Neurology. 173: 241-254. PMID 32958177 DOI: 10.1016/B978-0-444-64150-2.00021-6   
2020 Lafontaine MP, Knoth IS, Lippé S. Learning abilities. Handbook of Clinical Neurology. 173: 241-254. PMID 32958177 DOI: 10.1016/B978-0-444-64150-2.00021-6   
2020 Ma Y, Fan A, He J, Nelakurthi AR, Maciejewski R. A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes. Ieee Transactions On Visualization and Computer Graphics. PMID 33035164 DOI: 10.1109/TVCG.2020.3028888   
2020 Cohen AO, Nussenbaum K, Dorfman HM, Gershman SJ, Hartley CA. The rational use of causal inference to guide reinforcement learning strengthens with age. Npj Science of Learning. 5: 16. PMID 33133638 DOI: 10.1038/s41539-020-00075-3   
2020 Li H, Barnaghi P, Enshaeifar S, Ganz F. Continual Learning Using Bayesian Neural Networks. Ieee Transactions On Neural Networks and Learning Systems. PMID 32866104 DOI: 10.1109/TNNLS.2020.3017292   
2020 Lo Vercio L, Amador K, Bannister JJ, Crites S, Gutierrez A, MacDonald ME, Moore J, Mouches P, Rajasheka D, Schimert S, Subbanna N, Tuladhar A, Wang N, Wilms M, Winder A, et al. Supervised machine learning tools: a tutorial for clinicians. Journal of Neural Engineering. PMID 33036008 DOI: 10.1088/1741-2552/abbff2   
2020 Liu Z, Zhang Y, Ma D, Xu Q, Seger CA. Differing effects of gain and loss feedback on rule-based and information-integration category learning. Psychonomic Bulletin & Review. PMID 33006121 DOI: 10.3758/s13423-020-01816-6   
2020 Nydam AS, Sewell DK, Dux PE. Effects of tDCS on Visual Statistical Learning. Neuropsychologia. 107652. PMID 33069791 DOI: 10.1016/j.neuropsychologia.2020.107652   
2020 Jepma M, Schaaf JV, Visser I, Huizenga HM. Uncertainty-driven regulation of learning and exploration in adolescents: A computational account. Plos Computational Biology. 16: e1008276. PMID 32997659 DOI: 10.1371/journal.pcbi.1008276   
2020 Seddiki K, Saudemont P, Precioso F, Ogrinc N, Wisztorski M, Salzet M, Fournier I, Droit A. Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification. Nature Communications. 11: 5595. PMID 33154370 DOI: 10.1038/s41467-020-19354-z   
2020 Deng C, Ji X, Rainey C, Zhang J, Lu W. Integrating Machine Learning with Human Knowledge. Iscience. 23: 101656. PMID 33134890 DOI: 10.1016/j.isci.2020.101656   
2020 Rezaei M, Shahidi M. Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review. Intelligence-Based Medicine. 100005. PMID 33043311 DOI: 10.1016/j.ibmed.2020.100005   
2020 Muralidhar N, Bu J, Cao Z, He L, Ramakrishnan N, Tafti D, Karpatne A. Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. Big Data. 8: 431-449. PMID 33090021 DOI: 10.1089/big.2020.0071   
2020 Nie X, Fan M, Huang X, Yang W, Zhang B, Ma X. Online Semisupervised Active Classification for Multiview PolSAR Data. Ieee Transactions On Cybernetics. PMID 33095737 DOI: 10.1109/TCYB.2020.3026741   
2020 Hancock JT, Khoshgoftaar TM. CatBoost for big data: an interdisciplinary review. Journal of Big Data. 7: 94. PMID 33169094 DOI: 10.1186/s40537-020-00369-8   
2020 Nadeem MW, Goh HG, Ali A, Hussain M, Khan MA, Ponnusamy VA. Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions. Diagnostics (Basel, Switzerland). 10. PMID 33022947 DOI: 10.3390/diagnostics10100781   
2020 Soltani A. Learning from Others, but with What Confidence? Trends in Cognitive Sciences. PMID 33071160 DOI: 10.1016/j.tics.2020.09.011   
2020 Lopez R, Gayoso A, Yosef N. Enhancing scientific discoveries in molecular biology with deep generative models. Molecular Systems Biology. 16: e9198. PMID 32975352 DOI: 10.15252/msb.20199198   
2020 Blissett S, Rodriguez S, Qasim A, O'Sullivan P. Learning Echocardiography in the Workplace: A Cognitive Load Perspective. Academic Medicine : Journal of the Association of American Medical Colleges. PMID 33031115 DOI: 10.1097/ACM.0000000000003789   
2020 Jiao J, Cai Y, Alsharid M, Drukker L, Papageorghiou AT, Noble JA. Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12263: 534-543. PMID 33103162 DOI: 10.1007/978-3-030-59716-0_51   
2020 Pomyen Y, Wanichthanarak K, Poungsombat P, Fahrmann J, Grapov D, Khoomrung S. Deep metabolome: Applications of deep learning in metabolomics. Computational and Structural Biotechnology Journal. 18: 2818-2825. PMID 33133423 DOI: 10.1016/j.csbj.2020.09.033   
2020 Liang J, Zhu P, Dang C, Hu Q. Semisupervised Laplace-Regularized Multimodality Metric Learning. Ieee Transactions On Cybernetics. PMID 33027018 DOI: 10.1109/TCYB.2020.3022277   
2020 Sarangi V, Pelah A, Hahn WE, Barenholtz E. Gender Perception From Gait: A Comparison Between Biological, Biomimetic and Non-biomimetic Learning Paradigms. Frontiers in Human Neuroscience. 14: 320. PMID 33117137 DOI: 10.3389/fnhum.2020.00320   
2020 Avarguès-Weber A, Finke V, Nagy M, Szabó T, d'Amaro D, Dyer AG, Fiser J. Different mechanisms underlie implicit visual statistical learning in honey bees and humans. Proceedings of the National Academy of Sciences of the United States of America. 117: 25923-25934. PMID 32989162 DOI: 10.1073/pnas.1919387117   
2020 Park J, Yoon HD, Yoo T, Shin M, Jeon HA. Potential and efficiency of statistical learning closely intertwined with individuals' executive functions: a mathematical modeling study. Scientific Reports. 10: 18843. PMID 33139784 DOI: 10.1038/s41598-020-75157-8   
2020 Li J, Zhang B, Lu G, Xu Y, Wu F, Zhang D. Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance. Ieee Transactions On Neural Networks and Learning Systems. PMID 33027008 DOI: 10.1109/TNNLS.2020.3026876   
2020 McDermott KB. Practicing Retrieval Facilitates Learning. Annual Review of Psychology. PMID 33006925 DOI: 10.1146/annurev-psych-010419-051019   
2020 Han Z, Yu S, Lin SB, Zhou DX. Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33079656 DOI: 10.1109/TPAMI.2020.3032422   
2020 Chen J, Wu T, Shi M, Jiang W. PORF-DDPG: Learning Personalized Autonomous Driving Behavior with Progressively Optimized Reward Function. Sensors (Basel, Switzerland). 20. PMID 33019643 DOI: 10.3390/s20195626   
2020 Fan L, Su J, Qin J, Hu D, Shen H. A Deep Network Model on Dynamic Functional Connectivity With Applications to Gender Classification and Intelligence Prediction. Frontiers in Neuroscience. 14: 881. PMID 33013292 DOI: 10.3389/fnins.2020.00881   
2020 Liu M, Qu L, Nie L, Liu M, Duan L, Chen B. Iterative Local-Global Collaboration Learning towards One-Shot Video Person Re-Identification. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 33006929 DOI: 10.1109/TIP.2020.3026625   
2020 Wetherell J, Costamagna A, Gatti M, Reining L. Insights into one-body density matrices using deep learning. Faraday Discussions. PMID 32936199 DOI: 10.1039/d0fd00061b   
2020 He Y, Shen Z, Zhang Q, Wang S, Huang DS. A survey on deep learning in DNA/RNA motif mining. Briefings in Bioinformatics. PMID 33005921 DOI: 10.1093/bib/bbaa229   
2020 Liu C, Cao W, Wu S, Shen W, Jiang D, Yu Z, Wong HS. Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. Ieee Transactions On Neural Networks and Learning Systems. PMID 33079681 DOI: 10.1109/TNNLS.2020.3028453   
2020 Zhen L, Hu P, Peng X, Goh RSM, Zhou JT. Deep Multimodal Transfer Learning for Cross-Modal Retrieval. Ieee Transactions On Neural Networks and Learning Systems. PMID 33090960 DOI: 10.1109/TNNLS.2020.3029181   
2020 Qi H, Collins S, Noble JA. Knowledge-guided Pretext Learning for Utero-placental Interface Detection. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12261: 582-593. PMID 33163992 DOI: 10.1007/978-3-030-59710-8_57   
2020 Zhu Y, Brettin T, Evrard YA, Partin A, Xia F, Shukla M, Yoo H, Doroshow JH, Stevens RL. Ensemble transfer learning for the prediction of anti-cancer drug response. Scientific Reports. 10: 18040. PMID 33093487 DOI: 10.1038/s41598-020-74921-0   
2020 Jing X, Yan Z, Shen Y, Pedrycz W, Yang J. A Group-Based Distance Learning Method for Semisupervised Fuzzy Clustering. Ieee Transactions On Cybernetics. PMID 33027030 DOI: 10.1109/TCYB.2020.3023373   
2020 Malialis K, Panayiotou CG, Polycarpou MM. Online Learning With Adaptive Rebalancing in Nonstationary Environments. Ieee Transactions On Neural Networks and Learning Systems. PMID 32960769 DOI: 10.1109/TNNLS.2020.3017863   
2020 Di C, Liang Q, Li F, Li S, Luo F. An Efficient Parameter-Free Learning Automaton Scheme. Ieee Transactions On Neural Networks and Learning Systems. PMID 33017293 DOI: 10.1109/TNNLS.2020.3025937   
2020 Zhang XB, Zhai DH, Yang Y, Zhang YL, Wang CL. A novel semi-supervised multi-view clustering framework for screening Parkinson's disease. Mathematical Biosciences and Engineering : Mbe. 17: 3395-3411. PMID 32987535 DOI: 10.3934/mbe.2020192   
2020 Kao YW, Chen HH. Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation. Neural Computation. 1-20. PMID 33080166 DOI: 10.1162/neco_a_01335   
2020 Zhang W, Wu QMJ, Yang Y, Akilan T. Multimodel Feature Reinforcement Framework Using Moore-Penrose Inverse for Big Data Analysis. Ieee Transactions On Neural Networks and Learning Systems. PMID 33021948 DOI: 10.1109/TNNLS.2020.3026621   
2020 Zhang Z, Wang D, Gao J. Learning Automata-Based Multiagent Reinforcement Learning for Optimization of Cooperative Tasks. Ieee Transactions On Neural Networks and Learning Systems. PMID 33027003 DOI: 10.1109/TNNLS.2020.3025711   
2020 Goris J, Silvetti M, Verguts T, Wiersema JR, Brass M, Braem S. Autistic traits are related to worse performance in a volatile reward learning task despite adaptive learning rates. Autism : the International Journal of Research and Practice. 1362361320962237. PMID 33030041 DOI: 10.1177/1362361320962237   
2020 Rule JS, Tenenbaum JB, Piantadosi ST. The Child as Hacker. Trends in Cognitive Sciences. PMID 33012688 DOI: 10.1016/j.tics.2020.07.005   
2020 Kelly MA, Arora N, West RL, Reitter D. Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory. Cognitive Science. 44: e12904. PMID 33140517 DOI: 10.1111/cogs.12904   
2020 Hayes WM, Wedell DH. Autonomic Responses to Choice Outcomes: Links to Task Performance and Reinforcement-Learning Parameters. Biological Psychology. 107968. PMID 33027684 DOI: 10.1016/j.biopsycho.2020.107968   
2020 Tang F, Zhan P. The Development of an Instrument for Longitudinal Learning Diagnosis of Rational Number Operations Based on Parallel Tests. Frontiers in Psychology. 11: 2246. PMID 32982894 DOI: 10.3389/fpsyg.2020.02246   
2020 Hossein Hosseini SA, Yaman B, Moeller S, Akcakaya M. High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1481-1484. PMID 33018271 DOI: 10.1109/EMBC44109.2020.9176241