Representation Learning

On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models ICML 2021 On the Generation of Medical Dialogs for COVID-19 ACL 2021 On the Generative Utility of Cyclic Conditionals NeurIPS 2021 On the geometry of generalization and memorization in deep neural networks ICLR 2021 On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies NAACL 2021 On the mapping between Hopfield networks and Restricted Boltzmann Machines ICLR 2021 On the Out-of-distribution Generalization of Probabilistic Image Modelling NeurIPS 2021 On the Random Conjugate Kernel and Neural Tangent Kernel ICML 2021 On the Softmax Bottleneck of Recurrent Language Models AAAI 2021 On the Texture Bias for Few-Shot CNN Segmentation WACV 2021 On the Transfer of Disentangled Representations in Realistic Settings ICLR 2021 On the Value of Infinite Gradients in Variational Autoencoder Models NeurIPS 2021 OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres ACL 2021 On Training Implicit Models NeurIPS 2021 On UMAP's True Loss Function NeurIPS 2021 On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021 Open Hierarchical Relation Extraction NAACL 2021 Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021 Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation WACV 2021 Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning NeurIPS 2021 ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification Interspeech 2021 Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation ICCV 2021 OSCAR-Net: Object-Centric Scene Graph Attention for Image Attribution ICCV 2021 OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings EMNLP 2021