Pinned Repositories
acl-style-files
Official style files for papers submitted to venues of the Association for Computational Linguistics
Adaptive-Diversity-Promoting
Adversarial Defense for Ensemble Models (ICML 2019)
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
NextItNet-Pytorch
PeerCollaboration
PIGEON
PITA
volta
Code and data for the framework in "Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs", TACL 2021.
syiswell's Repositories
syiswell/Adaptive-Diversity-Promoting
Adversarial Defense for Ensemble Models (ICML 2019)
syiswell/BPR-pytorch
A pytorch implementation for BPR (Bayesian Personalized Ranking).
syiswell/Co-teaching
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
syiswell/dl-info-theory
syiswell/GNNPapers
Must-read papers on graph neural networks (GNN)
syiswell/Information-bottleneck
Python implementation of the infomration bottleneck method (tishby et al, 1999)
syiswell/NLP-docs
Docs of NLP/deep Learning/machine learning, etc. https://siat-nlp.github.io/docs
syiswell/NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
syiswell/PLMpapers
Must-read Papers on pre-trained language models.
syiswell/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
syiswell/pytorch-weights_pruning
PyTorch Implementation of Weights Pruning
syiswell/pytorch_NEG_loss
NEG loss implemented in pytorch
syiswell/quantum_entropy
syiswell/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
syiswell/shannon
A python package for computing the mutual information and entropy for continuous and discrete data.
syiswell/SR-GNN
Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)