Repositories list

• landscape-of-thoughts

  Public
  [ICLR 2025 Workshop] "Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models"

  Jupyter Notebook

  •

  MIT License

  •1•6•1•0•Updated Apr 14, 2025Apr 14, 2025

• BiDO_plus

  Public
  [TPAMI 2025] "Unknown-Aware Bilateral Dependency Optimization for Defending Against Model Inversion Attacks"

  model-inversion-defenses

  Python

  •

  MIT License

  •0•0•0•0•Updated Apr 10, 2025Apr 10, 2025

• AttrVR

  Public
  [ICLR 2025] "Attribute-based Visual Reprogramming for Vision-Language Models" Official Website: https://github.com/tmlr-group/AttrVR

  Python

  •

  MIT License

  •1•2•0•0•Updated Mar 29, 2025Mar 29, 2025

• Unlearning-with-Control

  Public
  [ICLR 2025] "Towards Effective Evaluations and Comparisons for LLM Unlearning Methods"

  Python

  •0•2•1•0•Updated Mar 24, 2025Mar 24, 2025

• W-DOE

  Public
  [TPAMI 2025] "W-DOE: Wasserstein Distribution-agnostic Outlier Exposure"

  Python

  •1•0•0•0•Updated Mar 5, 2025Mar 5, 2025

• HPFL

  Public
  [ICLR 2025] "Hot-pluggable Federated Learning: Briding General and Personalized FL via Dynamic Selection"

  Python

  •1•1•0•0•Updated Feb 28, 2025Feb 28, 2025

• G-effect

  Public
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"

  Python

  •1•11•0•0•Updated Feb 27, 2025Feb 27, 2025

• ZS-NTTA

  Public
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"

  Python

  •2•9•0•0•Updated Feb 22, 2025Feb 22, 2025

• FABFlex

  Public
  [ICLR 2025] "Fast and Accurate Blind Flexible Docking"

  Python

  •1•5•0•0•Updated Feb 16, 2025Feb 16, 2025

• EOE

  Public
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"

  Python

  •1•12•0•0•Updated Feb 15, 2025Feb 15, 2025

• NoisyRationales

  Public
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"

  Python

  •2•35•0•0•Updated Jan 16, 2025Jan 16, 2025

• Awesome-model-inversion-attack

  Public
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"

  12•1•0•0•Updated Jan 5, 2025Jan 5, 2025

• SCIE

  Public
  [AAAI 2025] "Eliciting Causal Abilities in Large Language Models for Reasoning Tasks"

  Python

  •1•1•0•0•Updated Dec 23, 2024Dec 23, 2024

• BayesianLM

  Public
  [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"

  Python

  •

  MIT License

  •2•9•0•0•Updated Dec 20, 2024Dec 20, 2024

• SMM

  Public
  [ICML 2024 Spotlight] "Sample-specific Masks for Visual Reprogramming-based Prompting"

  Python

  •

  MIT License

  •3•12•0•0•Updated Dec 20, 2024Dec 20, 2024

• CausalCOAT

  Public
  [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"

  markov-modelbayesian-networkcausality+ 6causal-inferenceunstructured-datacausal-discoveryfoundation-modelslarge-language-modelscausal-representation-learning

  Jupyter Notebook

  •2•19•0•0•Updated Dec 2, 2024Dec 2, 2024

• PPDG-MI

  Public
  [NeurIPS 2024] "Pseudo-Private Data Guided Model Inversion Attacks"

  model-inversion-attacksprivacy-attacks

  Jupyter Notebook

  •0•1•0•0•Updated Nov 16, 2024Nov 16, 2024

• CoPA

  Public
  [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"

  Jupyter Notebook

  •

  MIT License

  •2•10•0•0•Updated Nov 15, 2024Nov 15, 2024

• .github

  Public
  0•0•0•0•Updated Nov 14, 2024Nov 14, 2024

• SCT

  Public
  [NeurIPS 2024] "Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection"

  Python

  •2•7•0•0•Updated Oct 28, 2024Oct 28, 2024

• CoVer

  Public
  [NeurIPS 2024] "What If the Input is Expanded in OOD Detection?"

  Python

  •1•8•0•0•Updated Oct 28, 2024Oct 28, 2024

• NegLabel

  Public
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"

  Python

  •

  Apache License 2.0

  •4•21•0•0•Updated Oct 23, 2024Oct 23, 2024

• FuseFL

  Public
  [NeurIPS 2024 Spotlight] "FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion"

  Python

  •1•0•0•0•Updated Oct 15, 2024Oct 15, 2024

• NeuralAtom

  Public
  [ICLR 2024] "Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel"

  graph-learninglong-range-dependence

  Python

  •

  MIT License

  •1•4•0•0•Updated Oct 7, 2024Oct 7, 2024

• MOKD

  Public
  [ICML 2024] "MOKD: Cross-domain Finetuning via Maximizing Optimized Kernel Dependence"

  Python

  •

  MIT License

  •1•4•0•0•Updated Oct 7, 2024Oct 7, 2024

• tmlr-group.github.io

  Public
  JavaScript

  •0•0•0•0•Updated Sep 13, 2024Sep 13, 2024

• WCA

  Public
  [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"

  clipsimilarity-scoredomain-generalization+ 6zero-shot-classificationtest-time-adaptationlarge-language-modelsvision-language-modelvisual-text-alignmentimage-text-alignment

  Python

  •

  MIT License

  •6•50•0•0•Updated Sep 3, 2024Sep 3, 2024

• Twin-sight-paddle

  Public
  [ICLR 2024] Paddle verison code of "Robust Training of Federated Models with Extremely Label Deficiency"

  Python

  •

  MIT License

  •1•0•0•0•Updated Sep 3, 2024Sep 3, 2024

• FedFed-paddle

  Public
  [NeurIPS 2023] Paddle verison code of "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"

  Python

  •

  MIT License

  •1•0•0•0•Updated Sep 3, 2024Sep 3, 2024

• Co-Boosting-PaddlePaddle

  Public
  [ICLR 2024] "Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting" Paddlepaddle version

  Python

  •1•0•0•0•Updated Aug 19, 2024Aug 19, 2024