Co-occurring keywords · papers mentioning both
Papers
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
NeurIPS 2024
Parametric Augmentation for Time Series Contrastive Learning
ICLR 2024
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment
EMNLP 2024
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
ICLR 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
NeurIPS 2024
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering
ACL 2024
Personalized Federated Learning via Feature Distribution Adaptation
NeurIPS 2024
Personas as a Way to Model Truthfulness in Language Models
EMNLP 2024
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation
NeurIPS 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
NeurIPS 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations
IJCAI 2024
Physics-Informed Representation and Learning: Control and Risk Quantification
AAAI 2024
Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration
CVPR 2024
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
WACV 2024
Point Cloud Pre-training with Diffusion Models
CVPR 2024
Point Transformer V3: Simpler Faster Stronger
CVPR 2024
PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations
ACL 2024
Poly-View Contrastive Learning
ICLR 2024
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
CVPR 2024
Predicting Text Preference Via Structured Comparative Reasoning
ACL 2024
Predictive auxiliary objectives in deep RL mimic learning in the brain
ICLR 2024
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models
EMNLP 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
NeurIPS 2024
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
NeurIPS 2024