World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
104
Citations
84791
World Ranking
295
National Ranking
162

Overview

Samy Bengio is affiliated with Apple in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence and its subfields. Their research encompasses a range of topics related to neural networks, machine learning algorithms, and advanced applications of AI.

Their publication record includes research primarily disseminated through the arXiv (Cornell University), with 21 works in this venue, alongside papers published in Communications of the ACM, Dagstuhl Research Online Publication Server, Computational Brain & Behavior, and in the area of SuperIntelligence related to robotics, safety, and alignment.

Key research fields in their work include:

  • Computer Science

Within this broader field, Bengio's work focuses significantly on subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Cognitive Neuroscience
  • Electrical and Electronic Engineering

The scientist's major topics of research cover:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Machine Learning and Algorithms
  • Adversarial Robustness in Machine Learning
  • Metaheuristic Optimization Algorithms Research
  • Advanced Memory and Neural Computing

Recent published papers by Bengio include:

  • "Understanding deep learning (still) requires rethinking generalization" (2021) in Communications of the ACM
  • "Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles" (2020) in Dagstuhl Research Online Publication Server
  • "Characterising Bias in Compressed Models" (2020) in arXiv (Cornell University)
  • "GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models" (2024) in arXiv (Cornell University)
  • "Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure" (2021) in Computational Brain & Behavior

Frequent collaboration partners of Samy Bengio include:

  • Emmanuel Abbé
  • Iman Mirzadeh
  • Etai Littwin
  • Omid Saremi
  • Aryo Lotfi

Best Publications

  • Advances in Neural Information Processing Systems 31

    S. Bengio;H.M. Wallach;H. Larochelle;K. Grauman

  • Show and tell: A neural image caption generator

    Oriol Vinyals;Alexander Toshev;Samy Bengio;Dumitru Erhan

  • Understanding deep learning (still) requires rethinking generalization

    Chiyuan Zhang;Samy Bengio;Moritz Hardt;Benjamin Recht

  • Adversarial examples in the physical world

    Alexey Kurakin;Ian J. Goodfellow;Samy Bengio

  • Understanding deep learning requires rethinking generalization.

    Chiyuan Zhang;Samy Bengio;Moritz Hardt;Benjamin Recht

  • DeViSE: A Deep Visual-Semantic Embedding Model

    Andrea Frome;Greg S Corrado;Jon Shlens;Samy Bengio

  • Adversarial Machine Learning at Scale

    Alexey Kurakin;Ian J. Goodfellow;Samy Bengio

  • Generating Sentences from a Continuous Space

    Samuel R. Bowman;Luke Vilnis;Oriol Vinyals;Andrew M. Dai

  • Why Does Unsupervised Pre-training Help Deep Learning?

    Dumitru Erhan;Yoshua Bengio;Aaron Courville;Pierre-Antoine Manzagol

  • Tacotron: Towards End-to-End Speech Synthesis

    Yuxuan Wang;R. J. Skerry-Ryan;Daisy Stanton;Yonghui Wu

  • Scheduled sampling for sequence prediction with recurrent Neural networks

    Samy Bengio;Oriol Vinyals;Navdeep Jaitly;Noam Shazeer

  • Density estimation using Real NVP

    Laurent Dinh;Jascha Sohl-Dickstein;Samy Bengio

  • SVMTorch: support vector machines for large-scale regression problems

    Ronan Collobert;Samy Bengio

  • Neural Combinatorial Optimization with Reinforcement Learning

    Irwan Bello;Hieu Pham;Quoc V. Le;Mohammad Norouzi

  • Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

    Wei-Lin Chiang;Xuanqing Liu;Si Si;Yang Li

  • Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

    Oriol Vinyals;Alexander Toshev;Samy Bengio;Dumitru Erhan

  • Zero-Shot Learning by Convex Combination of Semantic Embeddings

    Mohammad Norouzi;Tomas Mikolov;Samy Bengio;Yoram Singer

  • WSABIE: scaling up to large vocabulary image annotation

    Jason Weston;Samy Bengio;Nicolas Usunier

  • Revisiting Distributed Synchronous SGD

    Jianmin Chen;Rajat Monga;Samy Bengio;Rafal Jozefowicz

  • Large Scale Online Learning of Image Similarity Through Ranking

    Gal Chechik;Varun Sharma;Uri Shalit;Samy Bengio

  • Order Matters: Sequence to sequence for sets

    Oriol Vinyals;Samy Bengio;Manjunath Kudlur

Frequent Co-Authors

Hervé Bourlard
Hervé Bourlard Idiap Research Institute
Norman Poh
Norman Poh University of Surrey
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Daniel Gatica-Perez
Daniel Gatica-Perez Idiap Research Institute
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Yoram Singer
Yoram Singer Princeton University
Gal Chechik
Gal Chechik Bar-Ilan University
David Grangier
David Grangier Google (United States)
Mohammad Norouzi
Mohammad Norouzi Google (United States)
Navdeep Jaitly
Navdeep Jaitly Google (United States)

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