ci-ai / transfer-learning

Transfer Learning research

Transfer Learning research

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|| Transfer-Learning-in-keras---custom-data | transfer-learning-anime | CarND-Transfer-Learning-Lab | bigdata18 | Selective-Joint-Fine-tuning | transfer-learning-anime | CVPR2018_attention | rank-reid | speechless | qa-transfer | transfer-learning-text-tf | tradaboost | X-ray-classification | deep-transfer-learning | Net2Net | Moving-Semantic-Transfer-Network | gogh-figure | imagenet | transferflow | Simple-Inception-Transfer-Learning | transfer-mxnet | Transfer-Learning-for-Animal-Classification-in-Tensorflow | transfer-learning-asr | cvpr18-inaturalist-transfer | image-classifier ||

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Review Papers

2019

• A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
• Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
• Augmenting Transfer Learning with Semantic Reasoning
• Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
• DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
• Attention-based Transfer Learning for Brain-computer Interface
• REGAL: Transfer Learning For Fast Optimization of Computation Graphs
• Hyperparameter Learning via Distributional Transfer
• Using Deep Networks and Transfer Learning to Address Disinformation
• Adversarially robust transfer learning
• Brain-mediated Transfer Learning of Convolutional Neural Networks
• Transfusion: Understanding Transfer Learning with Applications to Medical Imaging
• Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond
• Transfer Learning From Sound Representations For Anger Detection in Speech
• TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
• Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
• Transfer Learning with Neural AutoML
• Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
• Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
• Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
• Model-Based Task Transfer Learning
• Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
• Transfer Learning Using Ensemble Neural Nets for Organic Solar Cell Screening
• An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
• FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
• Hardware Conditioned Policies for Multi-Robot Transfer Learning
• Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning
• DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
• Multi-Source Cross-Lingual Model Transfer: Learning What to Share
• System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications
• Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
• Evaluating Protein Transfer Learning with TAPE
• Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images
• Transfer Learning for Causal Sentence Detection
• Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch
• Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening
• Mind2Mind : transfer learning for GANs
• Transfer Learning Across Simulated Robots With Different Sensors
• Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study
• Credit Assignment as a Proxy for Transfer in Reinforcement Learning
• FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
• Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches
• Applying Transfer Learning To Deep Learned Models For EEG Analysis

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2018

• When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
• Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
• Transfer Learning in Astronomy: A New Machine-Learning Paradigm
• An introduction to domain adaptation and transfer learning
• Deep Transfer Learning for Static Malware Classification
• Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning
• Adversarial Transfer Learning
• Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models
• Dynamic Transfer Learning for Named Entity Recognition
• Secure Federated Transfer Learning
• When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
• Transfer Metric Learning: Algorithms, Applications and Outlooks
• Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
• Theoretical Guarantees of Transfer Learning
• Instance-based Deep Transfer Learning
• A Framework of Transfer Learning in Object Detection for Embedded Systems
• 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network. arxiv
• A Survey on Deep Transfer Learning. arxiv
• Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration. arxiv
• Capsule networks for low-data transfer learning. arxiv
• Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer. arxiv code
• Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. arxiv
• [Best Paper] Taskonomy: Disentangling Task Transfer Learning. arxiv ⭐

2017

• Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. arxiv
• An Interpretable Knowledge Transfer Model for Knowledge Base Completion. arxiv
• Arbitrary Style Transfer In Real-Time With Adaptive Instance Normalization. pdf code tensorflow
• Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. arxiv pytorch
• Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning. arxiv
• Bringing Impressionism to Life with Neural Style Transfer in Come Swim. arxiv
• Characterizing and Improving Stability in Neural Style Transfer. arxiv
• DSSD : Deconvolutional Single Shot Detector. arxiv
• Deep Photo Style Transfer. arxiv torch
• Demystifying Neural Style Transfer. arxiv mxnet
• Fashioning with Networks: Neural Style Transfer to Design Clothes. arxiv
• Learning More Universal Representations for Transfer-Learning. arxiv
• Learning Transferable Architectures for Scalable Image Recognition. arxiv keras
• Massive Exploration of Neural Machine Translation Architectures. arxiv code
• Multi-style Generative Network for Real-time Transfer. arxiv torch ⭐
• Mutual Alignment Transfer Learning. arxiv
• One-Shot Imitation Learning. arxiv ⭐
• One-Shot Visual Imitation Learning via Meta-Learning. arxiv
• PathNet: Evolution Channels Gradient Descent in Super Neural Networks.arxiv ⭐
• Question Answering through Transfer Learning from Large Fine-grained Supervision Data. arxiv
• Real-Time Neural Style Transfer for Videos. pdf
• Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation. arxiv
• StyleBank: An Explicit Representation for Neural Image Style Transfer. arxiv
• Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN. arxiv
• Style Transfer Generative Adversarial Networks: Learning To Play Chess Differently. pdf
• The Space of Transferable Adversarial Examples. arxiv
• Transferring Face Verification Nets To Pain and Expression Regression. arxiv code
• Transfer Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network. arxiv code
• Transfer learning for music classification and regression tasks. arxiv keras
• Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks. arxiv
• Transfer Learning with Label Noise. arxiv
• Unsupervised Image-to-Image Translation Networks. arxiv
• Universal Style Transfer via Feature Transforms. arxiv torch
• Visual Attribute Transfer through Deep Image Analogy. arxiv code
• Zero-Shot Transfer Learning for Event Extraction. arxiv

2016

• A survey of transfer learning. url ⭐
• Building Machines That Learn and Think Like People. arxiv
• Fast color transfer from multiple images. arxiv
• Perceptual Losses for Real-Time Style Transfer and Super-Resolution.arxiv code ⭐
• Personalizing a Dialogue System with Transfer Learning. arxiv
• Pixel-Level Domain Transfer. arxiv
• Progressive Neural Networks. arxiv ⭐
• Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks.arxivcode ⭐
• [Best Paper]Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data. arxiv tensorflow ⭐
• FastMask: Segment Multi-scale Object Candidates in One Shot.arxiv
• Learning feed-forward one-shot learners. arxiv
• Low-shot Visual Recognition by Shrinking and Hallucinating Features. arxiv ⭐
• Matching Networks for One Shot Learning. arxiv
• One-Shot Generalization in Deep Generative Models. pdf ⭐
• One-shot Learning with Memory-Augmented Neural Networks. arxiv tensorflow⭐
• One-Shot Video Object Segmentation. arxiv tensorflow
• Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery. arxiv

2015

• Heterogeneous defect prediction. pdf
• Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. pdf
• Net2Net-Accelerating Learning via Knowledge Transfer. arxiv ⭐
• Siamese Neural Networks for One-shot Image Recognition. pdf
• Spatial Transformer Networks. arxiv tensorflow ⭐
• Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. arxiv
• Transfer learning using computational intelligence: A survey. pdf
• Transfer learning used to analyze the dynamic evolution of the dust aerosol. url
• Transferring Rich Feature Hierarchies for Robust Visual Tracking. arxiv ⭐

2014

• Adaptation regularization: a general framework for transfer learning. [pdf] ⭐
• Heterogeneous Domain Adaptation for Multiple Classes. [pdf]
• How transferable are features in deep neural networks? arxiv
• Hybrid heterogeneous transfer learning through deep learning. [pdf]
• Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation. [pdf]
• Machine learning for targeted display advertising: transfer learning in action. [url]
• Source Free Transfer Learning for Text Classification. [pdf]

2013

• Active transfer learning for cross-system recommendation. [pdf]
• Combating Negative Transfer From Predictive Distribution Differences. [url]
• Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification. [pdf] ⭐
• On handling negative transfer and imbalanced distributions in multiple source transfer learning. [pdf]
• Transfer feature learning with joint distribution adaptation. [pdf]

2012

• Cross-domain co-extraction of sentiment and topic lexicons. [pdf] ⭐
• Domain adaptation from multiple sources: a domain-dependent regularization approach. [pdf]
• Domain Transfer Multiple Kernel Learning. [pdf]
• Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation. [pdf]
• Learning with Augmented Features for Heterogeneous Domain Adaptation. [pdf]
• Semi-Supervised Kernel Matching for Domain Adaptation. [pdf]
• Supplementary Material Geodesic Flow Kernel for Unsupervised Domain Adaptation. [pdf]
• TALMUD: transfer learning for multiple domains. [pdf]

2011

• Domain Adaptation for Large-Scale Sentiment Classification - A Deep Learning Approach. [pdf] ⭐
• Heterogeneous domain adaptation using manifold alignment. [pdf]
• Heterogeneous Transfer Learning for Image Classification. [pdf] [code]
• Learning from multiple outlooks. [pdf]
• Multi-source domain adaptation and its application to early detection of fatigue. [pdf] ⭐
• What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. [pdf]

2010

• Boosting for transfer learning with multiple sources. [pdf]
• Bregman Divergence-Based Regularization for Transfer Subspace Learning. [pdf]
• Cross-Domain Sentiment Classification via Spectral Feature Alignment. [pdf] ⭐
• Safety in numbers: Learning categories from few examples with multi model knowledge transfer. [pdf] ⭐
• Transfer Learning in Collaborative Filtering for Sparsity Reduction.[url]
• Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains. [url]
• Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation. [pdf]

Before 2010

• A Survey on Transfer Learning. [url]] ⭐
• Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer. [pdf]
• To Transfer or Not To Transfer.[url]
• Transfer learning for text classification. [url]
• Transfer learning for collaborative filtering via a rating-matrix generative model.[url]
• Transfer learning from multiple source domains via consensus regularization. [url]
• Transfer Learning for Reinforcement Learning Domains: A Survey. [url] ⭐
• [Zero-Shot] Zero-Shot Learning with Semantic Output Codes. pdf ⭐
• Boosting for transfer learning. [url] ⭐
• A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. [pdf] ⭐
• Domain Adaptation via Transfer Component Analysis. [pdf] ⭐
• Co-clustering based Classification for Out-of-domain Documents. [pdf] ⭐
• Frustratingly easy domain adaptation. [pdf] ⭐
• Multi-task feature learning. [pdf] ⭐
• Self-taught Learning-Transfer Learning from Unlabeled Data. [url] ⭐
• Spectral domain-transfer learning. [url] ⭐
• Translated learning: Transfer learning across different feature spaces.[url] ⭐

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Maintainer

Gopala KR / @gopala-kr