neural network

Scalable Subset Sampling with Neural Conditional Poisson Networks ICLR 2023 Scalable Theory-Driven Regularization of Scene Graph Generation Models AAAI 2023 Scale Alone Does not Improve Mechanistic Interpretability in Vision Models NeurIPS 2023 Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel ICLR 2023 Scaling Laws for a Multi-Agent Reinforcement Learning Model ICLR 2023 Scaling Laws for Hyperparameter Optimization NeurIPS 2023 Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP 2023 Scaling Up Models and Data with t5x and seqio JMLR 2023 Schema Inference for Interpretable Image Classification ICLR 2023 Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding CVPR 2023 Select and Optimize: Learning to solve large-scale TSP instances AISTATS 2023 Self-Consistent Velocity Matching of Probability Flows NeurIPS 2023 Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation CVPR 2023 Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network ICCV 2023 Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera AAAI 2023 Self-Supervised Primal-Dual Learning for Constrained Optimization AAAI 2023 Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination NeurIPS 2023 Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction Interspeech 2023 Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning RSS 2023 Sequence Modeling with Multiresolution Convolutional Memory ICML 2023 Sequential Attention for Feature Selection ICLR 2023 Sequential Learning of Neural Networks for Prequential MDL ICLR 2023 SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics COLT 2023 SGD with Large Step Sizes Learns Sparse Features ICML 2023 ShapeScaffolder: Structure-Aware 3D Shape Generation from Text ICCV 2023