Code for the NeurIPS 2021 paper: Fairness in Ranking under Uncertainty
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Updated
Nov 9, 2021 - Jupyter Notebook
Code for the NeurIPS 2021 paper: Fairness in Ranking under Uncertainty
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
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
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)
Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.
NeurIPS 2021 papers and code focus on adversarial attacks and defense
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
The `rtdl` library + The W&B implementation of the paper "Revisiting Deep Learning Models for Tabular Data"
This is the repo for Fast Pure Exploration via Frank-Wolfe (NeurIPS 2021).
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.
Interactive Label Cleaning with Example-based Explanations
Code of "Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing The Right Points"
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