tmllab / 2022_NeurIPS_PICMM
☆22Updated last year
Related projects ⓘ
Alternatives and complementary repositories for 2022_NeurIPS_PICMM
- [ICLR 2022] Official repository for "Knowledge Removal in Sampling-based Bayesian Inference"☆19Updated 2 years ago
- [ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"☆43Updated 4 months ago
- [ICLR 2022] Huber Additive Models for Non-stationary Time Series Analysis☆17Updated 2 years ago
- [ECCV 2022] Code for the paper, ReAct: Temporal Action Detection with Relational Queries☆40Updated 2 years ago
- The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"☆34Updated last year
- Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.☆50Updated 5 months ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆8Updated last year
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆40Updated 7 months ago
- ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples☆10Updated last year
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models☆58Updated 10 months ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- Awesome-open-world-learning☆24Updated 3 years ago
- ☆16Updated 6 months ago
- [NeurIPS 2023] Generalized Logit Adjustment☆34Updated 7 months ago
- The implementation for "Comprehensive Knowledge Distillation with Causal Intervention".☆14Updated 2 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆51Updated last year
- NeurIPS'2022: Pluralistic Image Completion with Gaussian Mixture Models☆13Updated last year
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆10Updated 2 years ago
- ☆25Updated last year
- ICCV 2023 - AdaptGuard: Defending Against Universal Attacks for Model Adaptation☆11Updated 10 months ago
- [ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition☆28Updated last year
- ☆26Updated last year
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆33Updated last month
- ☆13Updated last month
- ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"☆12Updated 4 months ago
- NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise☆59Updated 3 years ago
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆19Updated last year
- ☆16Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆51Updated 3 months ago
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆16Updated 2 months ago