Transformers
11,186 papers
Papers per year
1
2
6
18
77
188
444
889
1,234
1,664
1,842
2,018
2,189
614
'15
'20
'25
Papers
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
ICML 2025
SAIST: Segment Any Infrared Small Target Model Guided by Contrastive Language-Image Pretraining
CVPR 2025
SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention
AAAI 2025
SAM 2: Segment Anything in Images and Videos
ICLR 2025
SAM4D: Segment Anything in Camera and LiDAR Streams
ICCV 2025
Samba: A Unified Mamba-based Framework for General Salient Object Detection
CVPR 2025
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
ICLR 2025
SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
ICLR 2025
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
ICML 2025
SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness
WACV 2025
Sandhi Splitting in Tamil and Telugu: A Sequence-to-Sequence Approach Leveraging Transformer Models
COLING 2025
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers
CVPR 2025
SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens
CVPR 2025
SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders
ICCV 2025
ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization
MLHC 2025
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
ICML 2025
Scalable Vision Language Model Training via High Quality Data Curation
ACL 2025
Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation
ICCV 2025
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
ICML 2025
Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract)
AAAI 2025
Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement
NAACL 2025
Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens
ICLR 2025
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
ICML 2025
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
ICLR 2025
Scaling Transformer-Based Novel View Synthesis with Models Token Disentanglement and Synthetic Data
ICCV 2025