attention mechanism

Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues EACL 2024 Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues AAAI 2024 Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification AAAI 2024 HDMNet: A Hierarchical Matching Network With Double Attention for Large-Scale Outdoor LiDAR Point Cloud Registration WACV 2024 HELA-VFA: A Hellinger Distance-Attention-Based Feature Aggregation Network for Few-Shot Classification WACV 2024 HGDL: Heterogeneous Graph Label Distribution Learning NeurIPS 2024 HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces AAAI 2024 HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models CVPR 2024 Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation IJCAI 2024 HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection NeurIPS 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 How Effective Are State Space Models for Machine Translation? EMNLP 2024 How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? ICLR 2024 How Much Context Does My Attention-Based ASR System Need? Interspeech 2024 How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression NeurIPS 2024 HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention CVPR 2024 Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers NeurIPS 2024 HydraViT: Stacking Heads for a Scalable ViT NeurIPS 2024 Identifying Semantic Induction Heads to Understand In-Context Learning ACL 2024 IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models ACL 2024 Improving Backchannel Prediction Leveraging Sequential and Attentive Context Awareness EACL 2024 Improving Graph Networks Through Selection-Based Convolution WACV 2024 Improving LLM Attributions with Randomized Path-Integration EMNLP 2024 Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024 Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings ACL 2024