Alternatives and similar repositories for 2022_NeurIPS_PICMM:

Users that are interested in 2022_NeurIPS_PICMM are comparing it to the libraries listed below

• fshp971 / mcmc-unlearning
  [ICLR 2022] Official repository for "Knowledge Removal in Sampling-based Bayesian Inference"
  ☆17Updated 3 years ago
• fshp971 / robust-unlearnable-examples
  [ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"
  ☆46Updated 9 months ago
• xianruizhong / SpHAM
  [ICLR 2022] Huber Additive Models for Non-stationary Time Series Analysis
  ☆16Updated 3 years ago
• dingfengshi / ReAct
  [ECCV 2022] Code for the paper, ReAct: Temporal Action Detection with Relational Queries
  ☆39Updated 2 years ago
• xiaoboxia / PICMM
  NeurIPS'2022: Pluralistic Image Completion with Gaussian Mixture Models
  ☆14Updated 2 years ago
• Raiden-Zhu / Generalization-of-DSGD
  The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"
  ☆35Updated 2 years ago
• xiaoboxia / RTM_LNL
  Regularly Truncated M-estimators for Learning with Noisy Labels
  ☆11Updated last year
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year
• kaipengfang / ProS
  ☆19Updated 9 months ago
• DerrickWang005 / Unpair-Seg.pytorch
  Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.
  ☆51Updated 10 months ago
• xiaoboxia / CoDis
  ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples
  ☆10Updated last year
• xiaoboxia / Part-dependent-label-noise
  NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise
  ☆60Updated 4 years ago
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆51Updated 2 years ago
• tmllab / 2021_ICCV_Me-Momentum
  ☆14Updated 2 years ago
• rain305f / TIDA
  [NeurIPS 2023] Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning
  ☆16Updated last year
• tmllab / 2024_ICML_DICL
  ☆16Updated 11 months ago
• sangrokleeeeee / DAC
  (CVPR2023) official code of Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
  ☆30Updated last year
• zhuohuangai / HOOD
  Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
  ☆13Updated last year
• xiaoboxia / CDR
  ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels
  ☆76Updated 3 years ago
• DongSky / LPT
  ☆53Updated 2 years ago
• yqy2001 / A-InfoNCE
  [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"
  ☆23Updated 2 years ago
• KevinLight831 / CTP
  [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
  ☆35Updated 6 months ago
• G-U-N / ICLR23-BEEF
  The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.
  ☆15Updated last year
• JianhongBai / BaCon
  Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)
  ☆25Updated last year
• zhangmarvin / memo
  ☆63Updated last year
• ShuoYang-1998 / BLTM
  [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
  ☆19Updated 2 years ago
• TOM-tym / APG
  Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”
  ☆16Updated last year
• wuw2019 / R-AMT
  ☆20Updated last year
• skzhang1 / IDEAL
  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  ☆59Updated last year
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆91Updated last year