Relational inductive biases, deep learning, and graph networks

Peter Battaglia, Jessica B. Hamrick, Victor Bapst, +24

arXiv (Cornell University)

Artificial IntelligenceLarge Ai ModelCognitive ScienceEngineeringMachine Learning +12

Understanding the Effective Receptive Field in Deep Convolutional Neural\n Networks

Wenjie Luo, Yujia Li, Raquel Urtasun, +1

arXiv (Cornell University)

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

Wenjie Luo, Yujia Li, Raquel Urtasun, +1

arXiv (Cornell University)

Image ClassificationCognitive ScienceMachine VisionMachine LearningImage Analysis +12

Gemini: A Family of Highly Capable Multimodal Models

Gemini Robotics Team, Rohan Anil, Sebastian Borgeaud, +741

arXiv (Cornell University)

Artificial IntelligenceNatural Language ProcessingNew FamilyLarge Ai ModelImage Analysis +13

Gated Graph Sequence Neural Networks

Yujia Li, Daniel Tarlow, Marc Brockschmidt, +1

arXiv (Cornell University)

Natural Language ProcessingModern Optimization TechniquesGraph Neural NetworksEngineeringGraph Theory +11

Learning Deep Generative Models of Graphs

Yujia Li, Oriol Vinyals, Chris Dyer, +2

arXiv (Cornell University)

EngineeringMachine LearningDeep Generative ModelsGraph ProcessingKnowledge Graph Embeddings +14

Generative Moment Matching Networks

Yujia Li, Kevin Swersky, Rich Zemel

arXiv (Cornell University)

Artificial IntelligenceGenerative SystemEngineeringMachine LearningData Science +10

The Variational Fair Autoencoder

Christos Louizos, Kevin Swersky, Yujia Li, +2

Data Archiving and Networked Services (DANS)

Latent RepresentationLatent ModelingSensitive FactorsMachine LearningData Science +12

Generative Moment Matching Networks

Yujia Li, Kevin Swersky, Richard S. Zemel

arXiv (Cornell University)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Jack W. Rae, Sebastian Borgeaud, Trevor Cai, +77

arXiv (Cornell University)

Artificial IntelligenceLlm Fine-tuningEngineeringModel ScaleAi Safety +17