TRANSIC:Sim-to-RealPolicyTransferbyLearningfromOnlineCorrection
Learning in simulation and transferring the learned policy to the real world has the potential to en
Learning in simulation and transferring the learned policy to the real world has the potential to en
The evolution of artificial intelligence (AI) has profoundly impacted human society, driving signifi
In complex environments with large discrete action spaces, effective decision-making is critical in
We are living in a three-dimensional space while moving forward through a fourth dimension: time. To
Before deploying outputs from foundation models in high-stakes tasks, it is imperative to ensure tha
The expanding size of language models has created the necessity for a comprehensive examination acro
Existing strategies for managing risks from advanced AI systems often focus on affecting what AI sys
Large vision-language models (VLMs) fine-tuned on specialized visual instruction-following data have
Facts extraction is pivotal for constructing knowledge graphs. Recently, the increasing demand for t
Despite noise and caption quality having been acknowledged as important factors impacting vision-lan
The goal of this work is to simultaneously generate natural talking faces and speech outputs from te
Federated learning (FL) represents a pivotal shift in machine learning (ML) as it enables collaborat
This paper investigates the dynamics of a deep neural network (DNN) learning interactions. Previous
Authorship obfuscation techniques hold the promise of helping people protect their privacy in online
As large language models (LLMs) evolve, their integration with 3D spatial data (3D-LLMs) has seen ra
Graph Neural Networks (GNNs) are powerful tools for graph classification. One important operation fo
Low-Rank Adaptation (LoRA) is a widely used technique for fine-tuning large pre-trained or foundatio
SMLP: Symbolic Machine Learning Prover an open source tool for exploration and optimization of syste
Remote sensing image-text retrieval constitutes a foundational aspect of remote sensing interpretati
In autonomous driving, accurately interpreting the movements of other road users and leveraging this