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CSI
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)L2T-ww
Learning What and Where to Transfer (ICML 2019)Confident_classifier
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018cs-kd
Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)M2m
Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)LfF
Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)ifseg
IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)SelfPatch
consistency-adversarial
Consistency Regularization for Adversarial Robustness (AAAI 2022)PsCo
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)MASKER
MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)object-aware-contrastive
Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)s-clip
S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captionslookahead_pruning
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)temporal-selfsupervision
BAR
The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020) by Junhyun Nam et al.HOMER
Official implementation of Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs (ICLR 2024).oreo
b2t
Bias-to-Text: Debiasing Unknown Visual Biases through Language InterpretationOpenCoS
MetaMAE
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder (NeurIPS 2023)SURF
lime-cam-pytorch
Pytorch implemenation of LIME-CAMOAMixer
OAMixer: Object-aware Mixing Layer for Vision Transformers (CVPRW 2022)smoothing-catrs
Code for the paper "Confidence-aware Training of Smoothed Classifiers for Certified Robustness" (AAAI 2023)Love Open Source and this site? Check out how you can help us