Saved in:
| Main Author: | Yang, Lei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.22441 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mixture of Latent Experts Using Tensor Products
by: Su, Zhan, et al.
Published: (2024)
by: Su, Zhan, et al.
Published: (2024)
Categorical Data Clustering via Value Order Estimated Distance Metric Learning
by: Zhang, Yiqun, et al.
Published: (2024)
by: Zhang, Yiqun, et al.
Published: (2024)
Sampling and Loss Weights in Multi-Domain Training
by: Salmani, Mahdi, et al.
Published: (2025)
by: Salmani, Mahdi, et al.
Published: (2025)
When Losses Align: Gradient-Based Composite Loss Weighting for Efficient Pretraining
by: Karpukhin, Ivan, et al.
Published: (2026)
by: Karpukhin, Ivan, et al.
Published: (2026)
LatentTrack: Sequential Weight Generation via Latent Filtering
by: Haq, Omer
Published: (2026)
by: Haq, Omer
Published: (2026)
Rethinking the Harmonic Loss via Non-Euclidean Distance Layers
by: Miller-Golub, Maxwell, et al.
Published: (2026)
by: Miller-Golub, Maxwell, et al.
Published: (2026)
Adaptive Weighted Loss for Sequential Recommendations on Sparse Domains
by: Mittal, Akshay, et al.
Published: (2025)
by: Mittal, Akshay, et al.
Published: (2025)
Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
by: Zhang, Ling, et al.
Published: (2025)
by: Zhang, Ling, et al.
Published: (2025)
Machine Unlearning of Traffic State Estimation and Prediction
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference
by: Tang, Xiaojuan, et al.
Published: (2025)
by: Tang, Xiaojuan, et al.
Published: (2025)
When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models
by: Xie, Tong, et al.
Published: (2025)
by: Xie, Tong, et al.
Published: (2025)
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks
by: Mohammadizadeh, Mahdi, et al.
Published: (2024)
by: Mohammadizadeh, Mahdi, et al.
Published: (2024)
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks
by: Lyu, Xingyu, et al.
Published: (2025)
by: Lyu, Xingyu, et al.
Published: (2025)
FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
by: Yu, Chenyang, et al.
Published: (2025)
by: Yu, Chenyang, et al.
Published: (2025)
Fast and Accurate Explanations of Distance-Based Classifiers by Uncovering Latent Explanatory Structures
by: Bley, Florian, et al.
Published: (2025)
by: Bley, Florian, et al.
Published: (2025)
LoTR: Low Tensor Rank Weight Adaptation
by: Bershatsky, Daniel, et al.
Published: (2024)
by: Bershatsky, Daniel, et al.
Published: (2024)
Thresholding Data Shapley for Data Cleansing Using Multi-Armed Bandits
by: Namba, Hiroyuki, et al.
Published: (2024)
by: Namba, Hiroyuki, et al.
Published: (2024)
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
by: Arunan, Anushiya, et al.
Published: (2025)
by: Arunan, Anushiya, et al.
Published: (2025)
Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration
by: Theerens, Adnan, et al.
Published: (2025)
by: Theerens, Adnan, et al.
Published: (2025)
Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss
by: Lee, Jungi, et al.
Published: (2026)
by: Lee, Jungi, et al.
Published: (2026)
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
by: Nie, Guangkun, et al.
Published: (2024)
by: Nie, Guangkun, et al.
Published: (2024)
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
by: Zheng, Ruijie, et al.
Published: (2023)
by: Zheng, Ruijie, et al.
Published: (2023)
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces
by: Geissler, Daniel, et al.
Published: (2024)
by: Geissler, Daniel, et al.
Published: (2024)
Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
by: Zhang, Yiqun, et al.
Published: (2026)
by: Zhang, Yiqun, et al.
Published: (2026)
DataLight: Offline Data-Driven Traffic Signal Control
by: Zhang, Liang, et al.
Published: (2023)
by: Zhang, Liang, et al.
Published: (2023)
TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
by: Lei, Qifeng, et al.
Published: (2025)
by: Lei, Qifeng, et al.
Published: (2025)
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators
by: Berry, Lucas, et al.
Published: (2023)
by: Berry, Lucas, et al.
Published: (2023)
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
by: Theodoropoulos, Theodoros, et al.
Published: (2024)
by: Theodoropoulos, Theodoros, et al.
Published: (2024)
An Explainable Multi-Task Similarity Measure: Integrating Accumulated Local Effects and Weighted Fréchet Distance
by: Hidalgo, Pablo, et al.
Published: (2026)
by: Hidalgo, Pablo, et al.
Published: (2026)
Latent State Estimation Helps UI Agents to Reason
by: Bishop, William E, et al.
Published: (2024)
by: Bishop, William E, et al.
Published: (2024)
AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting
by: Ganguly, Shreyan, et al.
Published: (2024)
by: Ganguly, Shreyan, et al.
Published: (2024)
Uncertainty-aware Traffic Prediction under Missing Data
by: Mei, Hao, et al.
Published: (2023)
by: Mei, Hao, et al.
Published: (2023)
Dynamic QoS Prediction via a Non-Negative Tensor Snowflake Factorization
by: Xia, YongHui, et al.
Published: (2025)
by: Xia, YongHui, et al.
Published: (2025)
Rich Insights from Cheap Signals: Efficient Evaluations via Tensor Factorization
by: Polo, Felipe Maia, et al.
Published: (2026)
by: Polo, Felipe Maia, et al.
Published: (2026)
Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles
by: Xue, Jianzhe, et al.
Published: (2024)
by: Xue, Jianzhe, et al.
Published: (2024)
IncidentNet: Traffic Incident Detection, Localization and Severity Estimation with Sparse Sensing
by: Peddiraju, Sai Shashank, et al.
Published: (2024)
by: Peddiraju, Sai Shashank, et al.
Published: (2024)
Deep Matrix Factorization with Adaptive Weights for Multi-View Clustering
by: Khalafaoui, Yasser, et al.
Published: (2024)
by: Khalafaoui, Yasser, et al.
Published: (2024)
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
by: Olug, Eren, et al.
Published: (2024)
by: Olug, Eren, et al.
Published: (2024)
Tensor Polynomial Additive Model
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Tube Loss: A Novel Approach for Prediction Interval Estimation
by: Anand, Pritam, et al.
Published: (2024)
by: Anand, Pritam, et al.
Published: (2024)
Similar Items
-
Mixture of Latent Experts Using Tensor Products
by: Su, Zhan, et al.
Published: (2024) -
Categorical Data Clustering via Value Order Estimated Distance Metric Learning
by: Zhang, Yiqun, et al.
Published: (2024) -
Sampling and Loss Weights in Multi-Domain Training
by: Salmani, Mahdi, et al.
Published: (2025) -
When Losses Align: Gradient-Based Composite Loss Weighting for Efficient Pretraining
by: Karpukhin, Ivan, et al.
Published: (2026) -
LatentTrack: Sequential Weight Generation via Latent Filtering
by: Haq, Omer
Published: (2026)