Neural Networks

Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract) AAAI 2021 Automatic Symmetry Discovery with Lie Algebra Convolutional Network NeurIPS 2021 Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution L4DC 2021 Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021 Autonomous Robot for Measuring Room Impulse Responses Interspeech 2021 AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression IJCAI 2021 AVA: Adversarial Vignetting Attack against Visual Recognition IJCAI 2021 A Vector-Based Representation to Enhance Head Pose Estimation WACV 2021 A Voice-Activated Switch for Persons with Motor and Speech Impairments: Isolated-Vowel Spotting Using Neural Networks Interspeech 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels ICLR 2021 Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation CVPR 2021 Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks ICML 2021 BAHP: Benchmark of Assessing Word Embeddings in Historical Portuguese EMNLP 2021 Banach Space Representer Theorems for Neural Networks and Ridge Splines JMLR 2021 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 BARF: Bundle-Adjusting Neural Radiance Fields ICCV 2021 BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond CVPR 2021 Bayesian Deep Learning via Subnetwork Inference ICML 2021 Bayesian Parametric and Architectural Domain Adaptation of LF-MMI Trained TDNNs for Elderly and Dysarthric Speech Recognition Interspeech 2021 Bayesian Structural Adaptation for Continual Learning ICML 2021 Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data L4DC 2021 Benchmarking Ultra-High-Definition Image Super-Resolution ICCV 2021 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods ICLR 2021 BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks EMNLP 2021