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Representation Learning

4516 directly classified papers

Papers per year

Papers

Information Competing Process for Learning Diversified Representations NIPS 2019
Learning from brains how to regularize machines NIPS 2019
Deep Set Prediction Networks NIPS 2019
On The Classification-Distortion-Perception Tradeoff NIPS 2019
Learning Data Manipulation for Augmentation and Weighting NIPS 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels NIPS 2019
Multivariate Triangular Quantile Maps for Novelty Detection NIPS 2019
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation NIPS 2019
CPM-Nets: Cross Partial Multi-View Networks NIPS 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NIPS 2019
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction NIPS 2019
Recurrent Space-time Graph Neural Networks NIPS 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NIPS 2019
Augmented Neural ODEs NIPS 2019
Large Scale Adversarial Representation Learning NIPS 2019
Implicit Semantic Data Augmentation for Deep Networks NIPS 2019
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs EMNLP 2019
Structuring Latent Spaces for Stylized Response Generation EMNLP 2019
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots EMNLP 2019
A Unified Neural Coherence Model EMNLP 2019
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss EMNLP 2019
Extractive Summarization of Long Documents by Combining Global and Local Context EMNLP 2019
Contrastive Attention Mechanism for Abstractive Sentence Summarization EMNLP 2019
Concept Pointer Network for Abstractive Summarization EMNLP 2019
Mixture Content Selection for Diverse Sequence Generation EMNLP 2019