Alternatives and similar repositories for Best-Papers-Top-Venues:

Users that are interested in Best-Papers-Top-Venues are comparing it to the libraries listed below

• jhairgallardo / awesome-continual-self-supervised-learning
  List of papers that combine self-supervision and continual learning
  ☆62Updated last month
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆77Updated 11 months ago
• SarahRastegar / Open-World-Papers
  A comprehensive collection of open world papers from top tier conferences and journals
  ☆21Updated 3 months ago
• shrebox / B-cosification
  [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.
  ☆30Updated last month
• neuroexplicit-saar / Discover-then-Name
  Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.
  ☆40Updated 5 months ago
• Malitha123 / awesome-video-self-supervised-learning
  A curated list of awesome self-supervised learning methods in videos
  ☆134Updated 2 weeks ago
• YueYANG1996 / LaBo
  CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
  ☆91Updated 10 months ago
• WalBouss / LeGrad
  ☆65Updated 6 months ago
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆44Updated last month
• SarahRastegar / SelEx
  Official Repository of "SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery" (ECCV 2024)
  ☆29Updated 5 months ago
• facebookresearch / meru
  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
  ☆159Updated last year
• ivonajdenkoska / tulip
  [ICLR 2025] Official code repository for "TULIP: Token-length Upgraded CLIP"
  ☆22Updated 2 months ago
• Trustworthy-ML-Lab / Label-free-CBM
  [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…
  ☆94Updated last year
• SarahRastegar / InfoSieve
  Official Repository of "Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery" (NeurIPS 2023)
  ☆19Updated 5 months ago
• aisagarw / awesome-explainable-cv
  ☆12Updated 6 months ago
• p-giakoumoglou / pyssl
  Self-Supervised Learning in PyTorch
  ☆136Updated last year
• YorkUCVIL / VTCD
  ☆18Updated 10 months ago
• coallaoh / Principles
  ☆196Updated 5 months ago
• MLAI-Yonsei / CaRot
  source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
  ☆13Updated 7 months ago
• princetonvisualai / multimodal_dataset_distillation
  ☆56Updated 3 months ago
• vpariza / open-hummingbird-eval
  This is a repository that implements the Dense NN Retrieval Evaluation used for evaluating the In-Context Learning Capabilities of Vision…
  ☆18Updated last week
• tdemin16 / multi-lane
  Official Implementation of MULTI-LANE (Multi Label class incremental learning via summarising pAtch tokeN Embeddings). Published in 3rd C…
  ☆12Updated 2 months ago
• DonkeyShot21 / cassle
  Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
  ☆123Updated 2 years ago
• IemProg / CoFiMA
  🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"
  ☆24Updated last week
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆62Updated last year
• naver / trex
  PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"
  ☆20Updated 2 years ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆109Updated last year
• WalterSimoncini / fungivision
  Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"
  ☆36Updated 5 months ago
• PolinaKirichenko / deep_feature_reweighting
  ☆107Updated last year
• Minhchuyentoancbn / MoE_PromptCL
  Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)
  ☆25Updated 2 months ago