TimRoith / CLIP
PyTorch Implementation of the CLIP Algorithm
☆12Updated last week
Related projects: ⓘ
- Source code of "What can linearized neural networks actually say about generalization?☆17Updated 2 years ago
- (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code☆12Updated last year
- ☆31Updated 7 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆42Updated last year
- ☆56Updated 3 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆54Updated 4 years ago
- ☆56Updated last year
- Invariant-feature Subspace Recovery (ISR)☆22Updated last year
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 2 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆21Updated last year
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆41Updated 3 years ago
- ☆31Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆34Updated 2 years ago
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆38Updated 2 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 3 years ago
- Neural Tangent Kernel Papers☆84Updated 6 months ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Updated last year
- Training vision models with full-batch gradient descent and regularization☆37Updated last year
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆36Updated last year
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆14Updated last year
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆43Updated 7 months ago
- ☆25Updated last year
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆28Updated 2 years ago
- ☆15Updated 4 years ago
- Coresets via Bilevel Optimization☆66Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆58Updated 10 months ago
- ☆56Updated 8 months ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆35Updated 2 years ago
- Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective☆19Updated 3 months ago