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CAMEL: Communicative Agents for ''Mind'' Exploration of Large Language Model Society

DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers

LC-NAS: Latency constrained neural architecture search for point cloud networks

Robust Optimization as Data Augmentation for Large-scale Graphs

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

Training Graph Neural Networks with 1000 layers

SGAS: Sequential Greedy Architecture Search

DeepGCNs: Can GCNs Go as Deep as CNNs?

OIL: Observational Imitation Learning