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
Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles
AAAI 2024
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
COLING 2024
Promoting Counterfactual Robustness through Diversity
AAAI 2024
ProMotion: Prototypes As Motion Learners
CVPR 2024
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
ECCV 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
CVPR 2024
Prompt Link Multimodal Fusion in Multimodal Sentiment Analysis
Interspeech 2024
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
EMNLP 2024
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
NAACL 2024
PromptStream: Self-Supervised News Story Discovery Using Topic-Aware Article Representations
COLING 2024
Proper Laplacian Representation Learning
ICLR 2024
ProS: Facial Omni-Representation Learning via Prototype-Based Self-Distillation
WACV 2024
Prosody-Driven Privacy-Preserving Dementia Detection
Interspeech 2024
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
NeurIPS 2024
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
NeurIPS 2024
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
NeurIPS 2024
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
NeurIPS 2024
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
ICML 2024
Prototype Learning for Explainable Brain Age Prediction
WACV 2024
Prototypical Reward Network for Data-Efficient RLHF
ACL 2024
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks
NeurIPS 2024
Provable and Efficient Dataset Distillation for Kernel Ridge Regression
NeurIPS 2024
Provable Compositional Generalization for Object-Centric Learning
ICLR 2024
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
ICML 2024
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning
ICML 2024