mandt-lab / adversarial-negative-samplingLinks
Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
☆14Updated 5 years ago
Alternatives and similar repositories for adversarial-negative-sampling
Users that are interested in adversarial-negative-sampling are comparing it to the libraries listed below
Sorting:
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆34Updated 6 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Materials for implementing and reproducing results in the NIPS paper.☆23Updated 10 years ago
- ☆24Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 6 years ago
- ☆67Updated 2 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.☆25Updated 2 years ago
- ☆13Updated 7 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated 2 years ago
- ☆24Updated 5 months ago
- Fork of Microsoft/LightGBM to include support for the CEGB (Cost Efficient Gradient Boosting) algorithm. Original repository at https://g…☆13Updated 8 years ago
- Density Order Embeddings☆33Updated 6 years ago
- Code for the paper "On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data".☆28Updated 6 years ago
- ☆12Updated 6 years ago
- ☆34Updated 6 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago