Neural Networks

One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation AAAI 2023 On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network ICML 2023 One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field CVPR 2023 One-shot Implicit Animatable Avatars with Model-based Priors ICCV 2023 Online learning of long-range dependencies NeurIPS 2023 Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn) MLHC 2023 On Quantizing Implicit Neural Representations WACV 2023 On Search Strategies for Document-Level Neural Machine Translation ACL 2023 On the Benefits of Learning to Route in Mixture-of-Experts Models EMNLP 2023 On the complexity of nonsmooth automatic differentiation ICLR 2023 On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters ICML 2023 On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023 On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition Interspeech 2023 On the Forward Invariance of Neural ODEs ICML 2023 On the impact of activation and normalization in obtaining isometric embeddings at initialization NeurIPS 2023 On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks AISTATS 2023 On the Overlooked Structure of Stochastic Gradients NeurIPS 2023 On the Perils of Cascading Robust Classifiers ICLR 2023 On the Representational Capacity of Recurrent Neural Language Models EMNLP 2023 On The Specialization of Neural Modules ICLR 2023 On Training a Neural Residual Acoustic Echo Suppressor for Improved ASR Interspeech 2023 OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data AAAI 2023 Operator learning with PCA-Net: upper and lower complexity bounds JMLR 2023 Opinion Tree Parsing for Aspect-based Sentiment Analysis ACL 2023 Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces JMLR 2023