jaekyeom / drop-bottleneckLinks
☆15Updated 4 years ago
Alternatives and similar repositories for drop-bottleneck
Users that are interested in drop-bottleneck are comparing it to the libraries listed below
Sorting:
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informat…☆16Updated last year
- Official code for ICML 2024 paper "Learning to Continually Learn with the Bayesian Principle"☆17Updated last year
- Repository for our ICML 2019 paper: Curiosity-Bottleneck☆34Updated 2 years ago
- ☆14Updated 3 years ago
- ✅ How Robust are Fact Checking Systems on Colloquial Claims?. In NAACL-HLT, 2021.☆23Updated 3 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Updated last year
- Deep Learning papers that enlightened me☆12Updated 7 years ago
- ☆13Updated 5 years ago
- Transfer Learning via Unsupervised Task Discovery for Visual Question Answering☆19Updated 6 years ago
- ☆24Updated last month
- Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs☆26Updated 6 years ago
- Generates a zip archive that is uploadable to arXiv.☆45Updated 5 years ago
- Experimental framework for GAN/VAE research☆9Updated 7 years ago
- ☆18Updated 2 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Implementation of Neural Episodic Control in Tensorflow☆27Updated 6 years ago
- ☆30Updated 3 years ago
- The official code repository for MetricMT - a reward optimization method for NMT with learned metrics☆25Updated 4 years ago
- ☆30Updated 2 years ago
- Official Pytorch Implementation of Unsupervised Representation Learning for Binary Networks by Joint Classifier Training (CVPR 2022)☆10Updated 3 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- ☆18Updated last year
- NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-based Simulation (ACL-IJCNLP 2021)☆36Updated 3 years ago
- The PyTorch implementation of ICLR2020 submission: Why ADAM Beats SGD for Attention Models (https://openreview.net/pdf?id=SJx37TEtDH)☆8Updated 5 years ago
- This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…☆43Updated 6 years ago
- ZForcing Repo☆40Updated 7 years ago
- ☆30Updated 3 years ago