Stars
LaTeX template for my PhD thesis at the University of Tuebingen
TPAMI: Classification with noisy labels by importance reweighting.
Generate Jekyll posts from Google Calendar events
Agustinus' very opiniated publication-ready plotting library
A curated list of resources for Learning with Noisy Labels
convolutional code for feed-forward noise model
Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for risk minimization under random label noise without any assu…
A collection of Beamer themes from the community
A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters
Unleashing Project Configuration and Organization in Python
A simple management system for scientific experiments. Streamline IO operations, result storage, and retrieval.
[ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together…
ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale
Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.
YSDA course in Natural Language Processing
Library for multilayer network tensor factorization
Demo for the calculation of the Semantic Brand Score (Basic Version)
Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.
Probabilistic generative model that incorporates both the topology of interactions and node attributes to extract overlapping communities in directed and undirected multilayer networks.