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)
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
ICML 2024
Can neural operators always be continuously discretized?
NeurIPS 2024
cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in Under-resourced Languages
EACL 2024
Cantonese Natural Language Processing in the Transformers Era
ACL 2024
Can Transformers Capture Spatial Relations between Objects?
ICLR 2024
Can Transformers Learn n-gram Language Models?
EMNLP 2024
Can Transformers Smell Like Humans?
NeurIPS 2024
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
ICLR 2024
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
ICML 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
CVPR 2024
Capturing Closely Interacted Two-Person Motions with Reaction Priors
CVPR 2024
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
ICLR 2024
CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation
SemEval 2024
CARTE: Pretraining and Transfer for Tabular Learning
ICML 2024
Cascade of phase transitions in the training of energy-based models
NeurIPS 2024
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
ICML 2024
Category-Level Multi-Part Multi-Joint 3D Shape Assembly
CVPR 2024
CatFormer: Category-Level 6D Object Pose Estimation with Transformer
AAAI 2024
Causal Estimation of Memorisation Profiles
ACL 2024
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations
IJCAI 2024
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
ICLR 2024
Causal Representation Learning via Counterfactual Intervention
AAAI 2024
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
ICLR 2024
CB-Whisper: Contextual Biasing Whisper Using Open-Vocabulary Keyword-Spotting
COLING 2024