EML Munich

BayesCap

(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

czsl

PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.

DataDream

[ECCV 2024] Official repository for "DataDream: Few-shot Guided Dataset Generation"

flair

[CVPR 2025] FLAIR: VLM with Fine-grained Language-informed Image Representations

fomo_in_flux

Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]

HyperNoise

ReNO

[NeurIPS 2024] ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

UncerGuidedI2I

Uncertainty Guided Progressive GANs for Medical Image Translation

Vision_by_Language

[ICLR 2024] Official repository for "Vision-by-Language for Training-Free Compositional Image Retrieval"

WaffleCLIP

Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"

ExplainableML/ReNO

[NeurIPS 2024] ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

ExplainableML/flair

[CVPR 2025] FLAIR: VLM with Fine-grained Language-informed Image Representations

ExplainableML/Vision_by_Language

[ICLR 2024] Official repository for "Vision-by-Language for Training-Free Compositional Image Retrieval"

ExplainableML/HyperNoise

ExplainableML/fomo_in_flux

Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]

ExplainableML/DataDream

[ECCV 2024] Official repository for "DataDream: Few-shot Guided Dataset Generation"

ExplainableML/ProbVLM

ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

ExplainableML/sae-for-vlm

[NeurIPS 2025] Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

ExplainableML/EgoCVR

[ECCV 2024] EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval

ExplainableML/cosmos

[CVPR 2025] COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training

ExplainableML/sketch-primitives

ECCV 2022: Abstracting Sketches through Simple Primitives

ExplainableML/TCAF-GZSL

This repository contains the code for our ECCV 2022 paper "Temporal and cross-modal attention for audio-visual zero-shot learning"

ExplainableML/in-context-impersonation

[NeurIPS 2023 Spotlight] In-Context Impersonation Reveals Large Language Models' Strengths and Biases

ExplainableML/ZerAuCap

[NeurIPS 2023 - ML for Audio Workshop (Oral)] Zero-shot audio captioning with audio-language model guidance and audio context keywords

ExplainableML/ImageFreeZSL

ExplainableML/uot-fm

Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]

ExplainableML/DeLoRA

[ICLR25] Official Implementation of "Decoupling Angles and Strength in Low-rank Adaptation"

ExplainableML/TiViT

Time Vision Transformer

ExplainableML/WikiBigEdit

This is the official repository for the WikiBigEdit benchmark, introduced in the paper Understanding the Limits of Lifelong Knowledge Editing in LLMs.

ExplainableML/AVDIFF-GFSL

This repository contains the code for our DAGM GCPR 2023 paper "Text-to-feature diffusion for audio-visual few-shot learning"

ExplainableML/concept_realignment

Official PyTorch implementation of "Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models" (ECCV 2024)

ExplainableML/General-Knowledge-Transfer

Official repository for "Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model" [ICLR 2024 spotlight]

ExplainableML/sub

ExplainableML/vla-gender-bias

[ICLR 2025] Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)

ExplainableML/LoFT

Synthetic Dataset Generation with Few-shot Guidance: LoFT [Arxiv] & DataDream [ECCV24]

ExplainableML/align-then-unlearn

[ICML 2025 Workshop MUGen] Align-then-Unlearn: Embedding Alignment for LLM Unlearning

ExplainableML/Deep-Graph-Persistence

Code for the paper "Addressing caveats of neural persistence with deep graph persistence".

ExplainableML/eml_website

ExplainableML/FantasticGains

[ICLR 2024] Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

ExplainableML/flair-website

Project Page for FLAIR [CVPR 2025]