neural network

Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023 Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation ICML 2023 Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond JMLR 2023 Quasi-Equivalence between Width and Depth of Neural Networks JMLR 2023 Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks NeurIPS 2023 RankDNN: Learning to Rank for Few-Shot Learning AAAI 2023 Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers ACL 2023 Reachability-based Trajectory Design with Neural Implicit Safety Constraints RSS 2023 READ: Aggregating Reconstruction Error into Out-of-Distribution Detection AAAI 2023 Real Time Detection of Soft Voice for Speech Enhancement Interspeech 2023 Real-Time Restoration of Dark Stereo Images WACV 2023 Re-Basin via Implicit Sinkhorn Differentiation CVPR 2023 Recasting Self-Attention with Holographic Reduced Representations ICML 2023 Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning ICLR 2023 Reconstructing Training Data from Model Gradient, Provably AISTATS 2023 Regression as Classification: Influence of Task Formulation on Neural Network Features AISTATS 2023 Regularization-free Diffeomorphic Temporal Alignment Nets ICML 2023 Regularization of Polynomial Networks for Image Recognition CVPR 2023 Regularizing Neural Networks with Meta-Learning Generative Models NeurIPS 2023 Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions NeurIPS 2023 ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo ICCV 2023 ResMem: Learn what you can and memorize the rest NeurIPS 2023 Restricted Strong Convexity of Deep Learning Models with Smooth Activations ICLR 2023 Rethinking Gauss-Newton for learning over-parameterized models NeurIPS 2023 Rethinking Optical Flow From Geometric Matching Consistent Perspective CVPR 2023