[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
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Updated
Sep 16, 2022 - Python
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)
Official Code Release for Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
[NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
Code for NeurIPS paper: https://openreview.net/forum?id=5wdvW_hI7bP
Open source dataset for Endoscopic Images
[NeurIPS 2022] Okapi: Generalising Better by Making Statistical Matches Match
Code and dataset for the NeurIPS'22 paper "What cleaves? Is proteasomal cleavage prediction reaching a ceiling?" https://arxiv.org/abs/2210.12991
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
🔥Benchmarking Unsupervised Object Segmentation (NeurIPS 2022)
Code to run the experiments of the Neurips 2022 paper On the Symmetries of Deep Learning Models and their Internal Representations.
Crawl & Visualize NeurIPS 2022 Data from OpenReview
[NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"
Code for "Fast Bayesian Estimation of Point Process Intensity as Function of Covariates" at NeurIPS2022
[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.
Official pytorch implementation of NeurIPS 2022 paper, TokenMixup
The official implementation for NeurIPS 2022 Spotlight Neural Shape Deformation Priors
[NeurIPS 2022] Leveraging Factored Action Spaces for Efficient Offline RL in Healthcare.
Website for the NeurIPS 2022 paper titled "The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning"
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