This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"

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Overview

Curriculum_disentangled_recommendation

This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation with Noisy Multi-feedback"

Our code is still organized and will be released soon.

We utilize deep reinforcement learning to obtain favorable trajectories for visual-inertial system calibration.

Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning Update: The lastest code will be updated in this branch. Pleas

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This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".

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This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

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Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

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Pytorch Implementation for NeurIPS (oral) paper: Pixel Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation

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Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"

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Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

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Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's algorithm.

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StyleMapGAN - Official PyTorch Implementation

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Implementing Vision Transformer (ViT) in PyTorch

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