Copertina

TAROT: Targeted Data Selection via Optimal Transport

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Feng, Lan, Nie, Fan, Liu, Yuejiang, Alahi, Alexandre
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
di: Liu, Yuejiang, et al.
Pubblicazione: (2024)

SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching
di: Haghighi, Yasaman, et al.
Pubblicazione: (2026)

Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
di: Rahimi, Ahmad, et al.
Pubblicazione: (2023)

LayerSync: Self-aligning Intermediate Layers
di: Haghighi, Yasaman, et al.
Pubblicazione: (2025)

Let the Target Select for Itself: Data Selection via Target-Aligned Paths
di: Yang, Huitao, et al.
Pubblicazione: (2026)

JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation
di: Capellera, Guillem, et al.
Pubblicazione: (2025)

CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking
di: Somers, Vladimir, et al.
Pubblicazione: (2025)

Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
di: Feng, Chuanwen, et al.
Pubblicazione: (2024)

Towards Meta-Pruning via Optimal Transport
di: Theus, Alexander, et al.
Pubblicazione: (2024)

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
di: Shukla, Megh, et al.
Pubblicazione: (2023)

A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency Losses
di: Rahimi, Ahmad, et al.
Pubblicazione: (2024)

Improving Neural Optimal Transport via Displacement Interpolation
di: Choi, Jaemoo, et al.
Pubblicazione: (2024)

Optimal Layer Selection for Latent Data Augmentation
di: Takase, Tomoumi, et al.
Pubblicazione: (2024)

Preventing Local Pitfalls in Vector Quantization via Optimal Transport
di: Zhang, Borui, et al.
Pubblicazione: (2024)

Detecting OOD Samples via Optimal Transport Scoring Function
di: Gao, Heng, et al.
Pubblicazione: (2025)

Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
di: Wang, Jifeng, et al.
Pubblicazione: (2024)

Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport
di: Li, Jialin, et al.
Pubblicazione: (2026)

Improving Diffusion-Based Generative Models via Approximated Optimal Transport
di: Kim, Daegyu, et al.
Pubblicazione: (2024)

Test-Time Adaptation for Anomaly Segmentation via Topology-Aware Optimal Transport Chaining
di: Zia, Ali, et al.
Pubblicazione: (2026)

Bootstrap Deep Spectral Clustering with Optimal Transport
di: Guo, Wengang, et al.
Pubblicazione: (2025)

Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild
di: Im, Jiin, et al.
Pubblicazione: (2026)

GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry
di: Min, Guanghui, et al.
Pubblicazione: (2026)

Analyzing and Improving Optimal-Transport-based Adversarial Networks
di: Choi, Jaemoo, et al.
Pubblicazione: (2023)

OmniTraj: Pre-Training on Heterogeneous Data for Adaptive and Zero-Shot Human Trajectory Prediction
di: Gao, Yang, et al.
Pubblicazione: (2025)

Optimal Transport-Induced Samples against Out-of-Distribution Overconfidence
di: Tang, Keke, et al.
Pubblicazione: (2026)

Data Agent: Learning to Select Data via End-to-End Dynamic Optimization
di: Yang, Suorong, et al.
Pubblicazione: (2026)

SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing
di: Liu, Qiuhao, et al.
Pubblicazione: (2025)

Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching
di: Varam, Dara, et al.
Pubblicazione: (2025)

Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
di: Choi, Jaemoo, et al.
Pubblicazione: (2023)

Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime
di: Wraight, Petros Georgoulas, et al.
Pubblicazione: (2025)

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
di: Wang, Fangyikang, et al.
Pubblicazione: (2024)

Neural Field Classifiers via Target Encoding and Classification Loss
di: Yang, Xindi, et al.
Pubblicazione: (2024)

OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
di: Zhang, Yunbei, et al.
Pubblicazione: (2024)

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
di: Choi, Jaemoo, et al.
Pubblicazione: (2024)

An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
di: Tran, Quyen, et al.
Pubblicazione: (2022)

The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation
di: Cheng, Ho Kei, et al.
Pubblicazione: (2025)

Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning
di: Pereira, Luiz Manella, et al.
Pubblicazione: (2025)

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
di: Zhao, Zengqun, et al.
Pubblicazione: (2025)

Communication-Inspired Tokenization for Structured Image Representations
di: Davtyan, Aram, et al.
Pubblicazione: (2026)

Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models
di: Nguyen, Dang, et al.
Pubblicazione: (2025)