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)
Towards Fair Graph Learning without Demographic Information
AISTATS 2025
Towards Fine-grained Interactive Segmentation in Images and Videos
ICCV 2025
Towards flexible perception with visual memory
ICML 2025
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations
IJCAI 2025
Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting
CVPR 2025
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
ICLR 2025
Towards Generalized Face Anti-Spoofing from a Frequency Shortcut View
WACV 2025
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
AAAI 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
ICML 2025
Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text
CVPR 2025
Towards Infinite-Long Prefix in Transformer
EMNLP 2025
Towards Learning High-Precision Least Squares Algorithms with Sequence Models
ICLR 2025
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision
AAAI 2025
Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model
CVPR 2025
Towards Neural Scaling Laws for Time Series Foundation Models
ICLR 2025
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
JMLR 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
AAAI 2025
Towards Precise Scaling Laws for Video Diffusion Transformers
CVPR 2025
Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control
ICLR 2025
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning
IJCAI 2025
Towards Robust Influence Functions with Flat Validation Minima
ICML 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
Towards Sentence Level Imagined Speech Generation from EEG signals
Interspeech 2025
Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
CVPR 2025
Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks
ICML 2025