Co-occurring keywords · papers mentioning both
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