Skip to content
conftrace_

self-attention mechanism

372 papers

SAM

Papers

Locality-Sensitive Hashing for Long Context Neural Machine Translation ACL 2022 Long-range Sequence Modeling with Predictable Sparse Attention ACL 2022 Measuring the Mixing of Contextual Information in the Transformer EMNLP 2022 Microphone Array Channel Combination Algorithms for Overlapped Speech Detection Interspeech 2022 Multichannel Speech Separation with Narrow-band Conformer Interspeech 2022 Multiview Human Body Reconstruction from Uncalibrated Cameras NeurIPS 2022 Nonparametric Forest-Structured Neural Topic Modeling COLING 2022 Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization NeurIPS 2022 Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? ICLR 2022 PoNet: Pooling Network for Efficient Token Mixing in Long Sequences ICLR 2022 QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog WACV 2022 Robust Lane Detection via Expanded Self Attention WACV 2022 SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation NeurIPS 2022 SepTr: Separable Transformer for Audio Spectrogram Processing Interspeech 2022 Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse NeurIPS 2022 Similarity and Content-based Phonetic Self Attention for Speech Recognition Interspeech 2022 Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences NAACL 2022 SparseTT: Visual Tracking with Sparse Transformers IJCAI 2022 Spatial-Temporal Transformer for 3D Point Cloud Sequences WACV 2022 SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis NAACL 2022 Structure-Aware Transformer for Graph Representation Learning ICML 2022 Syntax-guided Localized Self-attention by Constituency Syntactic Distance EMNLP 2022 Temporal Self Attention-Based Residual Network for Environmental Sound Classification Interspeech 2022 Transformers are Meta-Reinforcement Learners ICML 2022 Transformers from an Optimization Perspective NeurIPS 2022