Memory, Un/Weakly/Semi-supervised, One/Zero-shot

Memory Network:

Most referenced

1. Memory Networks, http://arxiv.org/pdf/1410.391...

2. End-To-End Memory Networks, http://papers.nips.cc/paper/5...

3. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks, http://arxiv.org/pdf/1502.056...

4. Large-scale Simple Question Answering with Memory Networks, http://arxiv.org/pdf/1506.020...

5. Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems, http://arxiv.org/pdf/1511.069...

6. The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations, http://arxiv.org/pdf/1511.023...

7. Learning End-to-End Goal-Oriented Dialog, http://arxiv.org/pdf/1605.076...

ICML2016

1. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing, http://arxiv.org/pdf/1506.072... 1

2. Meta-Learning with Memory-Augmented Neural Networks, http://jmlr.org/proceedings/p...

3. Associative Long Short-Term Memory, http://arxiv.org/pdf/1602.030...

4. Recurrent Orthogonal Networks and Long-Memory Tasks, http://arxiv.org/pdf/1603.014...

5. Dynamic Memory Networks for Visual and Textual Question Answering, http://arxiv.org/pdf/1603.014...

6. Control of Memory, Active Perception, and Action in Minecraft, http://arxiv.org/pdf/1605.091...

One Shot

CVPR16

1. One-Shot Learning of Scene Locations via Feature Trajectory Transfer, http://www.cv-foundation.org/...

ICML16

1. One-Shot Generalization in Deep Generative Models, https://arxiv.org/pdf/1603.05...

Zero Shot

CVPR16

1. Multi-Cue Zero-Shot Learning With Strong Supervision, http://www.cv-foundation.org/...

2. Latent Embeddings for Zero-Shot Classification, http://arxiv.org/pdf/1603.088...

3. Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression, https://arxiv.org/pdf/1604.01...

4. Synthesized Classifiers for Zero-Shot Learning, https://arxiv.org/pdf/1603.00...

5. Fast Zero-Shot Image Tagging, http://crcv.ucf.edu/papers/cv...

6. Zero-Shot Learning via Joint Latent Similarity Embedding, http://www.cv-foundation.org/...

Unsupervised

Most referenced

1. Unsupervised Learning of Video Representations using LSTMs, http://arxiv.org/pdf/1502.046...

2. Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks, https://arxiv.org/pdf/1511.06...

ICML2016

1. A Deep Learning Approach to Unsupervised Ensemble Learning, https://arxiv.org/pdf/1602.02...

2. Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification, http://web.eecs.umich.edu/~ho...

3. Unsupervised Deep Embedding for Clustering Analysis, https://arxiv.org/pdf/1511.06...

CVPR2016

1. Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks, http://www.cv-foundation.org/...

2. Joint Unsupervised Learning of Deep Representations and Image Clusters, http://www.cv-foundation.org/...

Semi/Weakly-supervised

Most referenced

1. Semi-supervised Sequence Learning, https://arxiv.org/pdf/1511.01...

2. Semi-supervised Learning with Deep Generative Models, https://arxiv.org/pdf/1406.52...

ICML2016

1. Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation, https://arxiv.org/pdf/1502.02...

CVPR2016

1. NetVLAD: CNN architecture for weakly supervised place recognition, http://www.cv-foundation.org/...

2. Weakly Supervised Deep Detection Networks, https://arxiv.org/pdf/1511.02...

3. WELDON: Weakly Supervised Learning of Deep Convolutional Neural
   Networks, http://webia.lip6.fr/~durandt...

4. Weakly Supervised Object Boundaries, http://arxiv.org/pdf/1511.078...

5. Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelledhttp://www.cv-foundation.org/...