Deep Metric Loss for Multimodal Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Moon, Sehwan, Lee, Hyunju |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease
by: Kim, Yeojin, et al.
Published: (2022)
by: Kim, Yeojin, et al.
Published: (2022)
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
by: Lee, Hyunwoo, et al.
Published: (2024)
by: Lee, Hyunwoo, et al.
Published: (2024)
Beyond Gaussian Initializations: Signal Preserving Weight Initialization for Odd-Sigmoid Activations
by: Lee, Hyunwoo, et al.
Published: (2025)
by: Lee, Hyunwoo, et al.
Published: (2025)
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
by: Kang, Hyunju, et al.
Published: (2026)
by: Kang, Hyunju, et al.
Published: (2026)
JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA
by: Kang, Hyunju, et al.
Published: (2026)
by: Kang, Hyunju, et al.
Published: (2026)
Mitigating Spurious Correlations via Disagreement Probability
by: Han, Hyeonggeun, et al.
Published: (2024)
by: Han, Hyeonggeun, et al.
Published: (2024)
Loss Functions and Metrics in Deep Learning
by: Terven, Juan, et al.
Published: (2023)
by: Terven, Juan, et al.
Published: (2023)
Towards Adversarially Robust Deep Metric Learning
by: Ke, Xiaopeng
Published: (2025)
by: Ke, Xiaopeng
Published: (2025)
Plasticity Loss in Deep Reinforcement Learning: A Survey
by: Klein, Timo, et al.
Published: (2024)
by: Klein, Timo, et al.
Published: (2024)
Quantifying Multimodal Capabilities: Formal Generalization Guarantees in Pairwise Metric Learning
by: Zhou, Richeng, et al.
Published: (2026)
by: Zhou, Richeng, et al.
Published: (2026)
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
by: Hwang, Dongyeong, et al.
Published: (2024)
by: Hwang, Dongyeong, et al.
Published: (2024)
Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss
by: Quarenghi, Filippo, et al.
Published: (2026)
by: Quarenghi, Filippo, et al.
Published: (2026)
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
by: Kousar, Humaira, et al.
Published: (2025)
by: Kousar, Humaira, et al.
Published: (2025)
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
by: Bischof, Rafael, et al.
Published: (2021)
by: Bischof, Rafael, et al.
Published: (2021)
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
by: Juliani, Arthur, et al.
Published: (2024)
by: Juliani, Arthur, et al.
Published: (2024)
Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification
by: Oladunni, Timothy, et al.
Published: (2025)
by: Oladunni, Timothy, et al.
Published: (2025)
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
by: Kim, Dohyun, et al.
Published: (2025)
by: Kim, Dohyun, et al.
Published: (2025)
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
by: Getu, Tilahun M., et al.
Published: (2023)
by: Getu, Tilahun M., et al.
Published: (2023)
Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models
by: Teagan, Jonathan
Published: (2025)
by: Teagan, Jonathan
Published: (2025)
Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning
by: Lee, Dongkwan, et al.
Published: (2025)
by: Lee, Dongkwan, et al.
Published: (2025)
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
by: Lee, Haanvid, et al.
Published: (2024)
by: Lee, Haanvid, et al.
Published: (2024)
End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
by: Zhou, Yidong, et al.
Published: (2025)
by: Zhou, Yidong, et al.
Published: (2025)
Metric Learning in an RKHS
by: Tatli, Gokcan, et al.
Published: (2025)
by: Tatli, Gokcan, et al.
Published: (2025)
Constructing Fair Latent Space for Intersection of Fairness and Explainability
by: Joo, Hyungjun, et al.
Published: (2024)
by: Joo, Hyungjun, et al.
Published: (2024)
Radar Pulse Deinterleaving with Transformer Based Deep Metric Learning
by: Gunn, Edward, et al.
Published: (2025)
by: Gunn, Edward, et al.
Published: (2025)
Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices
by: Lee, Younghan, et al.
Published: (2024)
by: Lee, Younghan, et al.
Published: (2024)
Geometric Embedding Alignment via Curvature Matching in Transfer Learning
by: Ko, Sung Moon, et al.
Published: (2025)
by: Ko, Sung Moon, et al.
Published: (2025)
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
by: Guarrasi, Valerio, et al.
Published: (2024)
by: Guarrasi, Valerio, et al.
Published: (2024)
Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance
by: Yoon, Heegeon, et al.
Published: (2026)
by: Yoon, Heegeon, et al.
Published: (2026)
EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy
by: Huang, Yihong, et al.
Published: (2024)
by: Huang, Yihong, et al.
Published: (2024)
Lightning Prediction under Uncertainty: DeepLight with Hazy Loss
by: Arifin, Md Sultanul, et al.
Published: (2025)
by: Arifin, Md Sultanul, 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)
The Optimiser Hidden in Plain Sight: Training with the Loss Landscape's Induced Metric
by: Harvey, Thomas R.
Published: (2025)
by: Harvey, Thomas R.
Published: (2025)
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning
by: Tepeli, Yasin I., et al.
Published: (2024)
by: Tepeli, Yasin I., et al.
Published: (2024)
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
by: Moon, Sang Bin, et al.
Published: (2024)
by: Moon, Sang Bin, et al.
Published: (2024)
Meta-Learning Adaptive Loss Functions
by: Raymond, Christian, et al.
Published: (2023)
by: Raymond, Christian, et al.
Published: (2023)
Task Addition in Multi-Task Learning by Geometrical Alignment
by: Yim, Soorin, et al.
Published: (2024)
by: Yim, Soorin, et al.
Published: (2024)
PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis
by: Selvan, Raghavendra, et al.
Published: (2024)
by: Selvan, Raghavendra, et al.
Published: (2024)
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
by: Tran, Khoa, et al.
Published: (2023)
by: Tran, Khoa, et al.
Published: (2023)
Meta-Learning Loss Functions for Deep Neural Networks
by: Raymond, Christian
Published: (2024)
by: Raymond, Christian
Published: (2024)
Similar Items
-
PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease
by: Kim, Yeojin, et al.
Published: (2022) -
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
by: Lee, Hyunwoo, et al.
Published: (2024) -
Beyond Gaussian Initializations: Signal Preserving Weight Initialization for Odd-Sigmoid Activations
by: Lee, Hyunwoo, et al.
Published: (2025) -
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
by: Kang, Hyunju, et al.
Published: (2026) -
JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA
by: Kang, Hyunju, et al.
Published: (2026)