I compiled a list of useful links for NeurIPS 2018 (NIPS 2018)
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Updated
Dec 17, 2018
I compiled a list of useful links for NeurIPS 2018 (NIPS 2018)
NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"
Code for paper "Object landmark discovery through unsupervised adaptation"
Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019
Code for 'Chasing Ghosts: Instruction Following as Bayesian State Tracking' published at NeurIPS 2019
Implementation of Selected Published Papers from AI, RL, NLP Conferences and reputed Journals
This is an example of a paper in LaTeX for the conference NeurIPS 2019.
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
[NeurIPS 2019] Deep Set Prediction Networks
[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Proof-of-principle application of Gaussian process modeling to gamma-ray analyses. Code repository associated with the paper https://arxiv.org/abs/2010.10450.
Papers covering a few of my Deep Learning Projects.
Statistics, Visualizations and Paper Links of Machine Learning Conferences
NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".
(NeurIPS 2020) Meta-Consolidation for Continual Learning
A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
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