paulgavrikov / biases_vs_generalizationView external linksLinks
Official code for the CVPR 2024 Paper "Can Biases in ImageNet Models Explain Generalization?".
☆13Jun 24, 2024Updated last year
Alternatives and similar repositories for biases_vs_generalization
Users that are interested in biases_vs_generalization are comparing it to the libraries listed below
Sorting:
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆27Jan 26, 2025Updated last year
- [TMLR 25] An automated method for explaining complex neuron behaviors in deep vision models using large language models☆10Feb 20, 2025Updated 11 months ago
- This is the official implementation of the Concept Discovery Models paper.☆15Aug 27, 2023Updated 2 years ago
- Official repository for ICML 2024 paper "MoRe Fine-Tuning with 10x Fewer Parameters"☆22Oct 14, 2025Updated 4 months ago
- [ICCV 2023] Towards Building More Robust Models with Frequency Bias☆19Feb 27, 2024Updated last year
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Dec 15, 2023Updated 2 years ago
- [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks☆14May 2, 2025Updated 9 months ago
- Frequency Shortcuts in Neural Networks☆21Nov 1, 2024Updated last year
- Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning☆20Dec 21, 2023Updated 2 years ago
- [NeurIPS 2024] RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models☆31Nov 12, 2024Updated last year
- Training code for CLIP-FlanT5☆30Jul 29, 2024Updated last year
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆32May 21, 2023Updated 2 years ago
- This repo contains the code to reproduce figures in my dissertation "Passive Imaging and Characterization of the Subsurface With Distribu…☆10Jun 14, 2018Updated 7 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34May 21, 2023Updated 2 years ago
- ☆11Mar 11, 2024Updated last year
- The official github repo for the open online courses: "Dive into LLMs".☆10Mar 15, 2024Updated last year
- PyTorch implementation of 'CLIP' (Radford et al., 2021) from scratch and training it on Flickr8k + Flickr30k☆11Mar 14, 2024Updated last year
- [Advanced Photonics Research, 2021] Control tightly focused fields via manipulating pupil functions☆10Dec 25, 2024Updated last year
- Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge☆10Mar 6, 2023Updated 2 years ago
- Code for reproducing the results from "CrAM: A Compression-Aware Minimizer" accepted at ICLR 2023☆10Mar 1, 2023Updated 2 years ago
- [ACM MM 2024 (Oral)] Official PyTorch Implementation of Paper "MovingColor: Seamless Fusion of Fine-grained Video Color Enhancement"☆11Dec 30, 2024Updated last year
- The sparse Bayesian learning sandbox☆11Jul 4, 2021Updated 4 years ago
- Tensorflow implementation of the paper "Fast Compressive Sensing Using Generative Model with Structed Latent Variables"☆10Apr 7, 2020Updated 5 years ago
- PyTorch Implementation of the paper "Defining and Quantifying the Emergence of Sparse Concepts in DNNs" (CVPR 2023)☆12Dec 24, 2023Updated 2 years ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆10Oct 9, 2024Updated last year
- Hardware modifications for the AR3☆11Feb 12, 2021Updated 5 years ago
- What Would Portland Do? Generative agent experience☆13Mar 13, 2024Updated last year
- Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.☆11Oct 1, 2018Updated 7 years ago
- ☆16Apr 1, 2025Updated 10 months ago
- ☆20Feb 3, 2025Updated last year
- Generative Models for Low Rank Video Representation and Reconstruction☆10May 20, 2019Updated 6 years ago
- IPO: Interpretable Prompt Optimization for Vision-Language Models(NeurIPS 2024)☆15Mar 4, 2025Updated 11 months ago
- Matlab implementation of the CS video reconstruction method RRS☆11May 21, 2018Updated 7 years ago
- [EMNLP 2024 Tutorial] Language Agents: Foundations, Prospects, and Risks☆10Nov 27, 2024Updated last year
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- The Graphical User Interface for multi-block data analysis☆14Aug 13, 2020Updated 5 years ago
- ☆11Jan 3, 2023Updated 3 years ago
- Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective☆11Nov 16, 2022Updated 3 years ago
- ☆15Jan 25, 2025Updated last year