conftrace_

model generalization

190 papers

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Co-occurring keywords

neural network (6616) transfer learning (5449) text classification (6793) domain generalization (1522) large language model (13587) neural network optimization (1293) knowledge distillation (3725) data augmentation (3052) representation learning (6206) federated learning (1333)

Papers

HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2026
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2026
A Data-Centric Approach to Generalizable Speech Deepfake Detection ACL 2026
Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing EACL 2026
MSAT-LDM: Toward Transferable High-Fidelity Watermarking for Latent Diffusion Model via Modular Self-Augmented Training AAAI 2026
Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations WACV 2026
Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025
Boosting Adversarial Transferability through Augmentation in Hypothesis Space CVPR 2025
Understanding the Influence of Synthetic Data for Text Embedders ACL 2025
Generalizing Constraint Models in Constraint Acquisition AAAI 2025
Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning CVPR 2025
Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning CVPR 2025
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025
Moderating the Generalization of Score-based Generative Model ICCV 2025
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? IJCNLP 2025
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach ACL 2025
Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges COLING 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression ICCV 2025
Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts ACL 2025
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025
DCR: Quantifying Data Contamination in LLMs Evaluation EMNLP 2025
Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration CVPR 2025
ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training ICCV 2025