Co-occurring keywords · papers mentioning both
Papers
GiLOT: Interpreting Generative Language Models via Optimal Transport
ICML 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
CVPR 2024
Gradual Domain Adaptation: Theory and Algorithms
JMLR 2024
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
NeurIPS 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
NeurIPS 2024
Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports
COLING 2024
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction
ACL 2024
Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection
ACL 2024
Importance Matching Lemma for Lossy Compression with Side Information
AISTATS 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks
EMNLP 2024
Improving the Convergence of Dynamic NeRFs via Optimal Transport
ICLR 2024
Improving Unsupervised Neural Machine Translation via Training Data Self-Correction
COLING 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
NeurIPS 2024
InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment
COLING 2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance
NeurIPS 2024
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
CVPR 2024
Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR
Interspeech 2024
Interaction-Force Transport Gradient Flows
NeurIPS 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
LCOT: Linear Circular Optimal Transport
ICLR 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Learning diffusion at lightspeed
NeurIPS 2024
Learning Elastic Costs to Shape Monge Displacements
NeurIPS 2024
Learning Geometry-Aware Representations for New Intent Discovery
ACL 2024
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract)
AAAI 2024