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← Architectures
Deep Learning
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Architectures
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Transformers
9,294 papers
Papers per year
2011: 1
2014: 2
2015: 6
2016: 17
2017: 67
2018: 156
2019: 404
2020: 769
2021: 1217
2022: 1446
2023: 1628
2024: 1574
2025: 1647
2026: 360
Papers
PCIC at SMM4H 2024: Enhancing Reddit Post Classification on Social Anxiety Using Transformer Models and Advanced Loss Functions
ACL 2024
Transformers at #SMM4H 2024: Identification of Tweets Reporting Children’s Medical Disorders And Effects of Outdoor Spaces on Social Anxiety Symptoms on Reddit Using RoBERTa
ACL 2024
LHS712_ADENotGood at #SMM4H 2024 Task 1: Deep-LLMADEminer: A deep learning and LLM pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter
ACL 2024
Team Yseop at #SMM4H 2024: Multilingual Pharmacovigilance Named Entity Recognition and Relation Extraction
ACL 2024
LHS712NV at #SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use
ACL 2024
Language-guided World Models: A Model-based Approach to AI Control
ACL 2024
Industry vs Academia: Running a Course on Transformers in Two Setups
ACL 2024
TIGFORMER at TextGraphs-17 Shared Task: A Late Interaction Method for text and Graph Representations in KBQA Classification Task
ACL 2024
Skoltech at TextGraphs-17 Shared Task: Finding GPT-4 Prompting Strategies for Multiple Choice Questions
ACL 2024
Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis
ACL 2024
Empathify at WASSA 2024 Empathy and Personality Shared Task: Contextualizing Empathy with a BERT-Based Context-Aware Approach for Empathy Detection
ACL 2024
HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised Learning
AISTATS 2024
Mechanics of Next Token Prediction with Self-Attention
AISTATS 2024
Multi-Dimensional Hyena for Spatial Inductive Bias
AISTATS 2024
Sequence Length Independent Norm-Based Generalization Bounds for Transformers
AISTATS 2024
A Neural Architecture Predictor based on GNN-Enhanced Transformer
AISTATS 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
AISTATS 2024
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
AISTATS 2024
Multi-Resolution Active Learning of Fourier Neural Operators
AISTATS 2024
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
AISTATS 2024
SDMTR: A Brain-inspired Transformer for Relation Inference
AISTATS 2024
How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability
AISTATS 2024
Functional Flow Matching
AISTATS 2024
Multi-resolution Time-Series Transformer for Long-term Forecasting
AISTATS 2024
Abstractive Multi-Video Captioning: Benchmark Dataset Construction and Extensive Evaluation
COLING 2024
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