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
One Transformer Can Understand Both 2D & 3D Molecular Data
ICLR 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
ICML 2023
Online Punctuation Restoration using ELECTRA Model for streaming ASR Systems
Interspeech 2023
On Robustness of Finetuned Transformer-based NLP Models
EMNLP 2023
On Separate Normalization in Self-supervised Transformers
NeurIPS 2023
On the Benefits of Learning to Route in Mixture-of-Experts Models
EMNLP 2023
On the Compositional Generalization in Versatile Open-domain Dialogue
ACL 2023
On The Computational Complexity of Self-Attention
ALT 2023
On the Convergence of Encoder-only Shallow Transformers
NeurIPS 2023
On the Difference of BERT-style and CLIP-style Text Encoders
ACL 2023
On the Expressive Flexibility of Self-Attention Matrices
AAAI 2023
On the Expressivity Role of LayerNorm in Transformers’ Attention
ACL 2023
On the Impact of Cross-Domain Data on German Language Models
EMNLP 2023
On the Relation between Sensitivity and Accuracy in In-Context Learning
EMNLP 2023
On the robustness of wav2vec 2.0 based speaker recognition systems
Interspeech 2023
On the Surprising Effectiveness of Name Matching Alone in Autoregressive Entity Linking
ACL 2023
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
ICCV 2023
Open Information Extraction via Chunks
EMNLP 2023
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
NeurIPS 2023
Open-Vocabulary Object Detection upon Frozen Vision and Language Models
ICLR 2023
Open-vocabulary Panoptic Segmentation with Embedding Modulation
ICCV 2023
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers
ACL 2023
OPI PIB at SemEval-2023 Task 1: A CLIP-based Solution Paired with an Additional Word Context Extension
SemEval 2023
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
CVPR 2023
OPTQ: Accurate Quantization for Generative Pre-trained Transformers
ICLR 2023