tyler-hayes/Stream-51
The Stream-51 dataset for streaming classification and novelty detection from videos.
AI Research Scientist @ Arsenale Bioyards | Prev Research Scientist @ GATech & NAVER LABS Europe | Prev Board Member @ ContinualAI | PhD from RIT
Repositories
tyler-hayes/REMIND
PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"
tyler-hayes/Embedded-CL
PyTorch code for our CoLLAs-2022 paper "Online Continual Learning for Embedded Devices"
tyler-hayes/Deep_SLDA
PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis"
tyler-hayes/tyler-hayes.github.io
Personal website for Tyler Hayes.
tyler-hayes/ExStream
PyTorch implementation of the ExStream method from our ICRA-2019 paper "Memory Efficient Experience Replay for Streaming Learning"
tyler-hayes/Continual-Analogical-Reasoning
PyTorch code for our CVPRW-2021 paper "Selective Replay Enhances Learning in Online Continual Analogical Reasoning"
tyler-hayes/Can-I-See-An-Example
PyTorch code for our BMVC-2022 paper "Can I see an Example? Active Learning the Long Tail of Attributes and Relations"
tyler-hayes/SLDA-Tutorial
tyler-hayes/avalanche
Avalanche: a End-to-End Library for Continual Learning.
tyler-hayes/negative_analysis_of_grounding
A negative case analysis of visual grounding methods for VQA (ACL 2020 short paper)
tyler-hayes/fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
tyler-hayes/streaming-comparisons
Compare different stream clustering algorithms