jaekyeom / drop-bottleneckLinks
β15Updated 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:
- π A collection of TensorBoard-related utilities (In Progress)β37Updated 2 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATIONβ16Updated 7 years ago
- Deep Learning papers that enlightened meβ12Updated 7 years ago
- Code for "MIM: Mutual Information Machine" paper.β16Updated 2 years ago
- Official code for ICML 2024 paper "Learning to Continually Learn with the Bayesian Principle"β17Updated last year
- Generates a zip archive that is uploadable to arXiv.β45Updated 5 years ago
- Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informatβ¦β16Updated 2 years ago
- Repository for our ICML 2019 paper: Curiosity-Bottleneckβ34Updated 2 years ago
- Implementation of Neural Episodic Control in Tensorflowβ27Updated 6 years ago
- This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics fβ¦β43Updated 6 years ago
- Jax implementation of VIT-VQGANβ10Updated last year
- Experimental framework for GAN/VAE researchβ9Updated 7 years ago
- β14Updated 3 years ago
- Distributed Priortized Experience Replayβ10Updated 6 years ago
- Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNsβ26Updated 6 years ago
- β13Updated 5 years ago
- Gym wrapper for Vizdoom environmentsβ12Updated 6 years ago
- ZForcing Repoβ40Updated 7 years ago
- β30Updated 2 years ago
- Transfer Learning via Unsupervised Task Discovery for Visual Question Answeringβ19Updated 6 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learningβ75Updated 2 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.β28Updated 4 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)β12Updated last year
- Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"β33Updated 2 years ago
- The PyTorch implementation of ICLR2020 submission: Why ADAM Beats SGD for Attention Models (https://openreview.net/pdf?id=SJx37TEtDH)β8Updated 5 years ago
- Official Pytorch Implementation of Unsupervised Representation Learning for Binary Networks by Joint Classifier Training (CVPR 2022)β11Updated 3 years ago
- Solving reinforcement learning tasks which require language and visionβ33Updated 2 years ago
- Optimized Utilities for PyTorchβ26Updated 5 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoderβ¦β17Updated 5 years ago
- mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.β9Updated 5 years ago