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
PointMamba: A Simple State Space Model for Point Cloud Analysis
NeurIPS 2024
PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds
CoRL 2024
Point Transformer V3: Simpler Faster Stronger
CVPR 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
AAAI 2024
PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates
CVPR 2024
PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations
ACL 2024
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators
CoRL 2024
PolitiCause: An Annotation Scheme and Corpus for Causality in Political Texts
COLING 2024
PolyMaX: General Dense Prediction With Mask Transformer
WACV 2024
Polynomial-based Self-Attention for Table Representation Learning
ICML 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
ICLR 2024
PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels
ICML 2024
PopAut: An Annotated Corpus for Populism Detection in Austrian News Comments
COLING 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
AAAI 2024
Poseidon: Efficient Foundation Models for PDEs
NeurIPS 2024
Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
ICML 2024
Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview
COLING 2024
PowerPM: Foundation Model for Power Systems
NeurIPS 2024
Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads
NAACL 2024
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens
EACL 2024
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
IJCAI 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
CVPR 2024
Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers
ACML 2024
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
EMNLP 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
NeurIPS 2024