Architectures
30,950 papers (33 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
3
15
13
18
17
27
39
43
74
94
221
536
912
1,611
2,559
3,004
3,504
3,729
4,021
4,550
4,519
1,439
'10
'15
'20
'25
Papers (including subtopics)
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
NeurIPS 2024
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
NeurIPS 2024
UDParse @ SIGTYP 2024 Shared Task : Modern Language Models for Historical Languages
EACL 2024
ÚFAL LatinPipe at EvaLatin 2024: Morphosyntactic Analysis of Latin
COLING 2024
UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
CVPR 2024
UGC: Universal Graph Coarsening
NeurIPS 2024
UltraSparseBERT: 99% Conditionally Sparse Language Modelling
ACL 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
AAAI 2024
UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation
COLING 2024
UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection
SemEval 2024
Uncertainty-aware Action Decoupling Transformer for Action Anticipation
CVPR 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting
AISTATS 2024
Uncertainty-aware Graph-based Hyperspectral Image Classification
ICLR 2024
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features
AAAI 2024
Uncertainty for Active Learning on Graphs
ICML 2024
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast
NeurIPS 2024
Unconditional stability of a recurrent neural circuit implementing divisive normalization
NeurIPS 2024
Uncovering Syllable Constituents in the Self-Attention-Based Speech Representations of Whisper
EMNLP 2024
Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition
EACL 2024
Uncovering the Redundancy in Graph Self-supervised Learning Models
NeurIPS 2024
Understanding Addition in Transformers
ICLR 2024
Understanding and Improving Optimization in Predictive Coding Networks
AAAI 2024
Understanding and Leveraging the Learning Phases of Neural Networks
AAAI 2024
Understanding and Minimising Outlier Features in Transformer Training
NeurIPS 2024
Understanding Bias in Large-Scale Visual Datasets
NeurIPS 2024