Neural network layer to handle monotonicity constraints.
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Updated
Apr 14, 2023 - Python
Neural network layer to handle monotonicity constraints.
👾 Outlier Exposure with Generative Models
Official Code Release for Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)
Website for the NeurIPS 2022 paper titled "The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning"
[NeurIPS 2022, Oral] DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
Solution for the Trojan Detection Challenge (TDC2022 - https://trojandetection.ai) as part of NeurIPS 2022
Crawl & Visualize NeurIPS 2022 Data from OpenReview
In this repository, we try to solve musculoskeletal tasks with `Double DQN reinforcement learning` by using a `transformer` model has been used as the base model architecture.
End-to-end demonstration of an autoencoder compression algorithm for plasma ion data from the MMS/FPI space instrument. Accompanies the publications da Silva et al., Frontiers in Astronomy and Space Sciences (2023) and da Silva et al., NeurIPS (2022)
Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
Code and dataset for the NeurIPS'22 paper "What cleaves? Is proteasomal cleavage prediction reaching a ceiling?" https://arxiv.org/abs/2210.12991
Code for the paper "An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context".
[NeurIPS 2022] Leveraging Factored Action Spaces for Efficient Offline RL in Healthcare.
A Collection of Papers and Codes in NeurIPS2022/2021 related to Low-Level Vision
[NeurIPS 2022] Okapi: Generalising Better by Making Statistical Matches Match
PaddlePaddle implementation of paper "Feature-Proxy Transformer for Few-Shot Segmentation" (NeurIPS'22 Spotlight)
Fourth place submission to the AutoML Decathlon Competition 2022.
(One of) the official code for our NeurIPS'22 paper Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
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