shikhartuli / cnn_txf_bias
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
☆43Updated 3 years ago
Alternatives and similar repositories for cnn_txf_bias:
Users that are interested in cnn_txf_bias are comparing it to the libraries listed below
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 9 months ago
- We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances…☆46Updated 3 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- ☆45Updated 5 years ago
- ☆58Updated 3 years ago
- ☆44Updated 4 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 3 years ago
- Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representa…☆37Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 2 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆90Updated 6 months ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆16Updated 4 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆78Updated 2 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 3 years ago
- Official implementation for Neural networks with recurrent generative feedback (NeurIPS 2020).☆22Updated 4 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- ☆36Updated 3 years ago
- ☆17Updated 3 years ago
- Code for the intrinsic dimensionality estimate of data representations☆77Updated 4 years ago
- [ICLR 2021] Beyond Categorical Label Representations for Image Classification☆25Updated 3 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated 6 months ago
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 3 years ago
- Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.☆16Updated 4 years ago
- ☆34Updated 3 years ago
- Code for SelfAugment☆27Updated 4 years ago
- ☆41Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- ☆23Updated 3 months ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆48Updated 2 years ago