A repository accompanying the PARTNR benchmark for using Large Planning Models (LPMs) to solve Human-Robot Collaboration or Robot Instruction Following tasks in the Habitat simulator.

Probabilistic learning to defer

The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving”

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving (NAACL 2024 Findings))

Co-LLM: Learning to Decode Collaboratively with Multiple Language Models

Code for 'Learning to Defer to a Population: A Meta-Learning Approach' (AISTATS 2024)

The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving"

Onboarding Humans to work with AI: Algorithms to find regions and describe them in natural language that show how humans should collaborate with AI (NeurIPS23)

Code for "Learning to Defer with Limited Expert Predictions" (AAAI 2023)

Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]

🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

[ICCV '21] In this repository you find the code to our paper "Keypoint Communities".

Object Depth via Motion and Detection Dataset

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.