Skip to content
conftrace_

attention mechanism

4,173 papers

AM ATTENTION

Papers

Stable Language Model Pre-training by Reducing Embedding Variability EMNLP 2024 Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation NeurIPS 2024 Stage-Aware Learning for Dynamic Treatments JMLR 2024 STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents L4DC 2024 StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection ACL 2024 StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NeurIPS 2024 Strengthening Layer Interaction via Dynamic Layer Attention IJCAI 2024 Structure-aware Fine-tuning for Code Pre-trained Models COLING 2024 Style Aligned Image Generation via Shared Attention CVPR 2024 Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer CVPR 2024 Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products ICML 2024 SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NeurIPS 2024 Symmetric Dot-Product Attention for Efficient Training of BERT Language Models ACL 2024 Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement AAAI 2024 Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance ICLR 2024 TabR: Tabular Deep Learning Meets Nearest Neighbors ICLR 2024 TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training AAAI 2024 TAPTRv2: Attention-based Position Update Improves Tracking Any Point NeurIPS 2024 Task-Free Dynamic Sparse Vision Transformer for Continual Learning AAAI 2024 Temporal Adaptive RGBT Tracking with Modality Prompt AAAI 2024 Tending Towards Stability: Convergence Challenges in Small Language Models EMNLP 2024 TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts ICLR 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NeurIPS 2024 The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains NeurIPS 2024