Experiments for the paper ´An experimental study of the Transferability of spectral graph networks´
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Updated
Dec 23, 2020 - Python
Experiments for the paper ´An experimental study of the Transferability of spectral graph networks´
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
code for AAAI21 paper "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion“
A list of accepted papers in AAAI 2021 about anomaly detection.
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
Description of the system and its results that we developed as a part of our participation at CONSTRAINT shared task in AAAI-2021.
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
The L0-SIGN implementation.
Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
This is the code of AAAI'21 paper "Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors".
Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization
Official Code of AAAI 2021 Paper "Multi-level Distance Regularization for Deep Metric Learning"
AttaNet for real-time semantic segmentation.
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation (AAAI 2021)
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
AAAI 2021: A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting
Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)
[AAAI'21] Code release for "Visual Pivoting for (Unsupervised) Entity Alignment".
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