Alternatives and similar repositories for DiscreteAdversarialDistillation

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

• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated last year
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated last year
• uclaml / PDE
  Official repo of Progressive Data Expansion: data, code and evaluation
  ☆29Updated last year
• ethanlshen / HierNet
  Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…
  ☆20Updated last year
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆30Updated 2 years ago
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆17Updated last year
• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆56Updated 5 months ago
• YuYang0901 / CLIP-spurious-finetune
  Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)
  ☆18Updated last year
• sail-sg / MMCBench
  ☆27Updated last year
• tianyi-lab / R2-T2
  Code for "R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts"
  ☆15Updated 2 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆45Updated 7 months ago
• changdaeoh / multimodal-mixup
  Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"
  ☆33Updated 8 months ago
• joonkeekim / Instructive-Decoding
  Official repository of "Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions", ICLR 2024 Sp…
  ☆20Updated last year
• tanganke / opcm
  ☆12Updated 4 months ago
• VITA-Group / Robust_Weight_Signatures
  [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
  ☆16Updated 2 years ago
• mjy1111 / PEAK
  The repository for our paper: Neighboring Perturbations of Knowledge Editing on Large Language Models
  ☆16Updated last year
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆33Updated last year
• d-ailin / CLIP-Guided-Decoding
  ☆18Updated 10 months ago
• jameszhou-gl / gpt-4v-distribution-shift
  Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
  ☆36Updated 7 months ago
• tianyi-lab / Mosaic-IT
  Mosaic IT: Enhancing Instruction Tuning with Data Mosaics
  ☆18Updated 3 months ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆29Updated last year
• qcznlp / uncertainty_attack
  ☆18Updated 8 months ago
• korawat-tanwisuth / POUF
  ☆27Updated last year
• zju-vipa / training_free_model_merging
  This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
  ☆28Updated last year
• MadryLab / bias-transfer
  ☆15Updated 2 years ago
• SprocketLab / roboshot
  ☆22Updated last year
• passing2961 / DialogCC
  Official code and dataset for our NAACL 2024 paper: DialogCC: An Automated Pipeline for Creating High-Quality Multi-modal Dialogue Datase…
  ☆12Updated 11 months ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆28Updated last year
• FreedomIntelligence / TRIM
  We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…
  ☆13Updated 5 months ago
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated last year