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Representation Learning

2843 directly classified papers

Papers per year

Papers

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices NIPS 2019
Stability of Graph Scattering Transforms NIPS 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning NIPS 2019
Invariance and identifiability issues for word embeddings NIPS 2019
Cold Case: The Lost MNIST Digits NIPS 2019
Gradient Information for Representation and Modeling NIPS 2019
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination CVPR 2019
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories ACL 2019
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings ACL 2019
Meaning to Form: Measuring Systematicity as Information ACL 2019
Self-Supervised Learning for Contextualized Extractive Summarization ACL 2019
Topic-Aware Neural Keyphrase Generation for Social Media Language ACL 2019
MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction ACL 2019
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data ACL 2019
Unsupervised Question Answering by Cloze Translation ACL 2019
Analyzing the Limitations of Cross-lingual Word Embedding Mappings ACL 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction CORL 2019
Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss ICML 2019
KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network IJCAI 2019
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction IJCAI 2019
Synthesizing Datalog Programs using Numerical Relaxation IJCAI 2019
Social Media-based User Embedding: A Literature Review IJCAI 2019
Self-Organizing Incremental Neural Networks for Continual Learning IJCAI 2019
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets AAAI 2019