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Code for paper "Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection"
Collecting and analyzing the LIWC differences between geo-tagged tweets and non-geo tagged tweets.
Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
YixuanLi / tensorpack
Forked from tensorpack/tensorpackNeural Network Toolbox on TensorFlow
YixuanLi / models
Forked from tensorflow/modelsModels built with TensorFlow
YixuanLi / tf-faster-rcnn
Forked from endernewton/tf-faster-rcnnTensorflow Faster RCNN for Object Detection
LEMON: A local algorithm for fast, high-precision overlapping community detection
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
YixuanLi / odin
Forked from facebookresearch/odinA simple and effective method for detecting out-of-distribution images in neural networks.
DenseNet Implementation in Tensorflow
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Largest list of models for Core ML (for iOS 11+)
Subcategory Discovery and Segmentation for CVPR 2014 Paper
ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)
A collection of AWESOME things about domian adaptation
3D ResNets for Action Recognition (CVPR 2018)
We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs a…
A curated list of awesome anomaly detection resources
Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019)
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space