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attention mechanism

3975 papers

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Also known as

AGM GPA AM MHSA QKV DAM ATTENTION MHA IMA

Co-occurring keywords

neural network (6616) convolutional neural network (4216) multimodal learning (4622) transformer architecture (1555) graph neural network (3945) recurrent neural network (1790) text classification (6776) representation learning (6174) neural machine translation (2310) large language model (12755)

Papers

Solving Attention Kernel Regression Problem via Pre-conditioner AISTATS 2024
MADiff: Offline Multi-agent Learning with Diffusion Models NIPS 2024
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models IJCAI 2024
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number CVPR 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024
Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis ACL 2024
Binaural Selective Attention Model for Target Speaker Extraction INTERSPEECH 2024
Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting IJCAI 2024
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NIPS 2024
Fast One-Stage Unsupervised Domain Adaptive Person Search IJCAI 2024
RMFER: Semi-Supervised Contrastive Learning for Facial Expression Recognition With Reaction Mashup Video WACV 2024
Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning CVPR 2024
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention CVPR 2024
Weight decay induces low-rank attention layers NIPS 2024
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers CVPR 2024
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NIPS 2024
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning EMNLP 2024
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models EMNLP 2024
Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024
EASE-DETR: Easing the Competition among Object Queries CVPR 2024
Neuron-Level Knowledge Attribution in Large Language Models EMNLP 2024
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue EMNLP 2024
Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NIPS 2024
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024