Code for the NeurIPS 2021 paper: Fairness in Ranking under Uncertainty

Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021

CircleNLU: A Tool for building Natural Language Understanding system. This paper was accepted at NeurIPS Data-centric AI workshop 2021.

Official implementation of the NeurIPS 2021 paper Online Learning Of Neural Computations From Sparse Temporal Feedback

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".

Code accompanying the NeurIPS 2021 paper "Generating High-Quality Explanations for Navigation in Partially-Revealed Environments"

Fork of Official Implementation of Meta-Learning to Improve Pre-Training, NeurIPS'21 Poster. (https://arxiv.org/abs/2111.01754)

NeurIPS 2021 papers and code focus on adversarial attacks and defense

NeurIPS 2021 Datasets and Benchmarks Track Keynote

Official implementation of Set Prediction in the Latent Space (LSP)

[Open Sourced] NeurIPS 2021: Dynamical Inference with Neural Interpreters by N. Rahaman, M. Gondal, S. Joshi, P. Gehler, Y. Bengio, F. Locatello, B. Schölkopf

A Collection of Papers and Codes in NeurIPS2022/2021 related to Low-Level Vision

This is the repo for Fast Pure Exploration via Frank-Wolfe (NeurIPS 2021).

Locally Valid and Discriminative Prediction Intervals for Deep Learning Models

The `rtdl` library + The W&B implementation of the paper "Revisiting Deep Learning Models for Tabular Data"

Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.

Interactive Label Cleaning with Example-based Explanations