Representation Learning
22,308 papers
Papers per year
2
4
3
18
4
9
65
67
82
78
102
104
142
299
274
310
458
748
1,177
1,845
2,058
2,310
2,425
2,953
3,130
2,996
645
2000
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Papers
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
AAAI 2025
Scale-Free Graph-Language Models
ICLR 2025
Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling
ICCV 2025
Scaling and evaluating sparse autoencoders
ICLR 2025
Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing
ACL 2025
Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract)
AAAI 2025
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
ICML 2025
Scaling Omni-modal Pretraining with Multimodal Context: Advancing Universal Representation Learning Across Modalities
ICCV 2025
Scaling ResNets in the Large-depth Regime
JMLR 2025
Scaling Sparse Feature Circuits For Studying In-Context Learning
ICML 2025
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging
EMNLP 2025
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
ICML 2025
ScanEZ: Integrating Cognitive Models with Self-Supervised Learning for Spatiotemporal Scanpath Prediction
ACL 2025
SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection
EMNLP 2025
ScEdit: Script-based Assessment of Knowledge Editing
ACL 2025
Scene-Aware Urban Design: A Human–AI Recommendation Framework Using Co-Occurrence Embeddings and Vision-Language Models
NeurIPS 2025
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
ICCV 2025
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
ICLR 2025
sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models
ICML 2025
scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction (Student Abstract)
AAAI 2025
SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain
IJCAI 2025
Score-based Causal Representation Learning: Linear and General Transformations
JMLR 2025
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation
AAAI 2025
SCOT: Self-Supervised Contrastive Pretraining for Zero-Shot Compositional Retrieval
WACV 2025
Script-Agnosticism and its Impact on Language Identification for Dravidian Languages
NAACL 2025