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

Generalizing Constraint Models in Constraint Acquisition AAAI 2025
Moderating the Generalization of Score-based Generative Model ICCV 2025
Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning CVPR 2025
Adversarial Training for Probabilistic Robustness ICCV 2025
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025
The Master Key Filters Hypothesis: Deep Filters Are General AAAI 2025
Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization EMNLP 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression ICCV 2025
ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training ICCV 2025
Boosting Adversarial Transferability through Augmentation in Hypothesis Space CVPR 2025
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NIPS 2024
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training NIPS 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NIPS 2024
A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024
SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition INTERSPEECH 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NIPS 2024
Improving Generalization via Meta-Learning on Hard Samples CVPR 2024
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning WACV 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability NIPS 2024
Towards Unsupervised Model Selection for Domain Adaptive Object Detection NIPS 2024
DePLM: Denoising Protein Language Models for Property Optimization NIPS 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NIPS 2024
Toward More Generalized Malicious URL Detection Models AAAI 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts AAAI 2024