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awesome-human-centered-ai
A curated list of awesome human-centered AI resources.
https://github.com/Open-Source-ML/awesome-human-centered-ai
- Crowdsourcing in Computer Vision
- Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
- RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
- From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
- What's the Point: Semantic Segmentation with Point Supervision - the-point1)
- Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
- Weakly Supervised Object Localization Papers
- TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization - CAM)
- DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
- Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
- Language-driven Semantic Segmentation - org/lang-seg)
- Masked Autoencoders Are Scalable Vision Learners
- Understanding the role of individual units in a deep neural network
- Feature Visualization
- The Building Blocks of Interpretability
- CAM, and many CAM variants (Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM)
- Towards Automatic Concept-based Explanations
- The Mythos of Model Interpretability
- Sanity Checks for Saliency Maps
- On the importance of single directions for generalization - Directions)
- Revisiting the Importance of Individual Units in CNNs via Ablation
- Towards falsifiable interpretability research
- The false hope of current approaches to explainable artificial intelligence in health care - 9/fulltext), The Lancet, 2021
- Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
- Unbiased Look at Dataset Bias
- Women also Snowboard: Overcoming Bias in Captioning Models
- Moving beyond “algorithmic bias is a data problem”
- Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
- Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms
- Physical Adversarial Examples for Object Detectors
- Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures
- Adversarial Examples Are Not Bugs, They Are Features
- Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
- Noise or Signal: The Role of Image Backgrounds in Object Recognition
- ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness - ImageNet)
- Learning Independent Causal Mechanisms
- Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
- Human–computer collaboration for skin cancer recognition
- To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
- OpenAI Codex
- Semantic Image Synthesis with Spatially-Adaptive Normalization
- GANSpace: Discovering Interpretable GAN Controls
- Sketch Your Own GAN
- LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions - team/latentclr)
- LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks
- Closed-Form Factorization of Latent Semantics in GANs
- Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors - A-Scene)
- Deep reinforcement learning from human preferences
- Shared Autonomy via Deep Reinforcement Learning
- Understanding RL Vision
- Learning from Interventions: Human-robot interaction as both explicit and implicit feedback
- PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
- Pragmatic Image Compression for Human-in-the-Loop Decision-Making
- Recent advances in leveraging human guidance for sequential decision-making tasks
- Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
- Grandmaster level in StarCraft II using multi-agent reinforcement learning
- Acquisition of Chess Knowledge in AlphaZero
- Outracing champion Gran Turismo drivers with deep reinforcement learning
- Human-Centered AI for Computer Vision and Machine Autonomy, UCLA
- Human-Centered Machine Learning, UChicago
- Human-AI Interaction, CMU
- Human-Computer Interaction, UCLA
- HCAI, NeurIPS2021
- Human-Centered Explainable AI (HCXAI), CHI 2022
- Human-Centered AI for Computer Vision, CVPR 2022
- Bolei Zhou's HCAI course at UCLA
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