transfer learning

5442 papers

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Also known as

TANDA HTL TL ULMFIT TRL

Co-occurring keywords

domain adaptation (4578) text classification (6776) representation learning (6174) few-shot learning (3390) multi-task learning (2556) language model (4573) zero-shot learning (3637) low-resource language (2234) knowledge distillation (3680) large language model (12755)

Papers

Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NIPS 2016

Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network CVPR 2016

Improving Person Re-Identification via Pose-Aware Multi-Shot Matching CVPR 2016

Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data CVPR 2016

iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning CVPR 2016

A Task-Oriented Approach for Cost-Sensitive Recognition CVPR 2016

Weakly Supervised Object Localization With Progressive Domain Adaptation CVPR 2016

Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection CVPR 2016

Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics AISTATS 2016

Bank of Weight Filters for Deep CNNs ACML 2016

Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting INTERSPEECH 2016

Frustratingly Easy Neural Domain Adaptation COLING 2016

Constrained Deep Transfer Feature Learning and Its Applications CVPR 2016

On the Correlation and Transferability of Features Between Automatic Speech Recognition and Speech Emotion Recognition INTERSPEECH 2016

Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning JMLR 2016

Network Morphism ICML 2016

Feature-Level Domain Adaptation JMLR 2016

A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks COLING 2016

Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective INTERSPEECH 2016

The Benefit of Multitask Representation Learning JMLR 2016

Learning Bound for Parameter Transfer Learning NIPS 2016

An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions INTERSPEECH 2016

Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016

MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection SEMEVAL 2016

CNN-Based Phone Segmentation Experiments in a Less-Represented Language INTERSPEECH 2016