Representation Learning

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning CVPR 2022 NOMAD: Nonlinear Manifold Decoders for Operator Learning NeurIPS 2022 Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning AAAI 2022 Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NeurIPS 2022 Normalization of Language Embeddings for Cross-Lingual Alignment ICLR 2022 Normalizing Mutual Information for Robust Adaptive Training for Translation EMNLP 2022 No Stock is an Island: Learning Internal and Relational Attributes of Stocks with Contrastive Learning EMNLP 2022 Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling EMNLP 2022 NPBG++: Accelerating Neural Point-Based Graphics CVPR 2022 On Embeddings for Numerical Features in Tabular Deep Learning NeurIPS 2022 On Feature Learning in the Presence of Spurious Correlations NeurIPS 2022 On the data requirements of probing ACL 2022 On the Effect of Isotropy on VAE Representations of Text ACL 2022 On the Geometry of Concreteness ACL 2022 On the Learning and Learnability of Quasimetrics ICLR 2022 On the Learning Mechanisms in Physical Reasoning NeurIPS 2022 On the Representation Collapse of Sparse Mixture of Experts NeurIPS 2022 On the Stability and Scalability of Node Perturbation Learning NeurIPS 2022 On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations AAAI 2022 Open-ended Knowledge Tracing for Computer Science Education EMNLP 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NeurIPS 2022 Open World Classification with Adaptive Negative Samples EMNLP 2022 Optimal Positive Generation via Latent Transformation for Contrastive Learning NeurIPS 2022 Orthogonal Multi-Manifold Enriching of Directed Networks AISTATS 2022 Overcoming a Theoretical Limitation of Self-Attention ACL 2022