Representation Learning

Topic Modeling on Document Networks with Adjacent-Encoder AAAI 2020 Topological Autoencoders ICML 2020 Topologically Densified Distributions ICML 2020 Topology of Word Embeddings: Singularities Reflect Polysemy COLING 2020 Torch-Struct: Deep Structured Prediction Library ACL 2020 Toward a neuro-inspired creative decoder IJCAI 2020 Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments EMNLP 2020 Towards Adaptive Residual Network Training: A Neural-ODE Perspective ICML 2020 Towards a Deep Network Architecture for Structured Smoothness ICLR 2020 Towards a Unified Framework for Visual Compatibility Prediction WACV 2020 Towards automatically generating Questions under Discussion to link information and discourse structure COLING 2020 Towards Backward-Compatible Representation Learning CVPR 2020 Towards Better Context-aware Lexical Semantics:Adjusting Contextualized Representations through Static Anchors EMNLP 2020 Towards Better Forecasting by Fusing Near and Distant Future Visions AAAI 2020 Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020 Towards Debiasing NLU Models from Unknown Biases EMNLP 2020 Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints ACL 2020 Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020 Towards Knowledge-Augmented Visual Question Answering COLING 2020 Towards Learning Affine-Invariant Representations via Data-Efficient CNNs WACV 2020 Towards Learning a Universal Non-Semantic Representation of Speech Interspeech 2020 Towards Learning Structure via Consensus for Face Segmentation and Parsing CVPR 2020 Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020 Towards Preserving the Ephemeral: Texture-Based Background Modelling for Capturing Back-of-the-Napkin Notes WACV 2020 Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs NeurIPS 2020