A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

PyTorch Implementation for Deep Metric Learning Pipelines

[ICLR 2023 Oral] Image as Set of Points

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Library used to deskew a scanned document

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

MLNLP社区用来帮助缩短参考文献的工具。A tool for simplifying bibtex with official info

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

Public repo for Augmented Multiscale Deep InfoMax representation learning

(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaof…

Code for Implicit Generation and Generalization with Energy Based Models

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

Camera Style Adaptation for Person Re-identification CVPR 2018

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

Class-Incremental Learning: A Survey (TPAMI 2024)

Multiple-Instance Support Vector Machines

Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables

PyTorch implementation for Histogram Loss

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

Scripts for Imagenet 32 dataset

Code for Unsupervised Learning via Meta-Learning.