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

Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023
Show Me How It’s Done: The Role of Explanations in Fine-Tuning Language Models ACML 2023
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains EMNLP 2022
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets ACL 2022
Combining Diverse Feature Priors ICML 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning ICML 2022
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective CVPR 2022
Co-Domain Symmetry for Complex-Valued Deep Learning CVPR 2022
On the Strong Correlation Between Model Invariance and Generalization NIPS 2022
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization NAACL 2022
Estimating Example Difficulty Using Variance of Gradients CVPR 2022
Tailor: Generating and Perturbing Text with Semantic Controls ACL 2022
Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch INTERSPEECH 2022
On Length Divergence Bias in Textual Matching Models ACL 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy CVPR 2022
stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets NAACL 2022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models EMNLP 2022
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging EMNLP 2022
Improving Model Generalization by Agreement of Learned Representations From Data Augmentation WACV 2022
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation EMNLP 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022
Learning Debiased Classifier with Biased Committee NIPS 2022
Safe Self-Refinement for Transformer-Based Domain Adaptation CVPR 2022
Generalized Federated Learning via Sharpness Aware Minimization ICML 2022
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra ICML 2022