CircleNLU: A Tool for building Natural Language Understanding system. This paper was accepted at NeurIPS Data-centric AI workshop 2021.
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Updated
Oct 27, 2021
CircleNLU: A Tool for building Natural Language Understanding system. This paper was accepted at NeurIPS Data-centric AI workshop 2021.
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Fork of Official Implementation of Meta-Learning to Improve Pre-Training, NeurIPS'21 Poster. (https://arxiv.org/abs/2111.01754)
Code of "Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing The Right Points"
[Open Sourced] NeurIPS 2021: Dynamical Inference with Neural Interpreters by N. Rahaman, M. Gondal, S. Joshi, P. Gehler, Y. Bengio, F. Locatello, B. Schölkopf
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"
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
This is the repo for Fast Pure Exploration via Frank-Wolfe (NeurIPS 2021).
The `rtdl` library + The W&B implementation of the paper "Revisiting Deep Learning Models for Tabular Data"
NeurIPS 2021 papers and code focus on adversarial attacks and defense
Official implementation of Set Prediction in the Latent Space (LSP)
This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".
Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.
Code for the NeurIPS 2021 paper: Fairness in Ranking under Uncertainty
[NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"
Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
Interactive Label Cleaning with Example-based Explanations
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