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

Benchmarking Robustness to Adversarial Image Obfuscations NIPS 2023
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment MIDL 2023
Revisiting Structured Dropout ACML 2023
Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions EACL 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023
Continual Learners are Incremental Model Generalizers ICML 2023
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023
Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing INTERSPEECH 2023
General-purpose Adversarial Training for Enhanced Automatic Speech Recognition Model Generalization INTERSPEECH 2023
Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023
Internal Robust Representations for Domain Generalization AAAI 2023
Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text ACL 2023
Are Sample-Efficient NLP Models More Robust? ACL 2023
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL 2023
Label Agnostic Pre-training for Zero-shot Text Classification ACL 2023
HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction EMNLP 2023
Data Factors for Better Compositional Generalization EMNLP 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models EMNLP 2023
FedNAR: Federated Optimization with Normalized Annealing Regularization NIPS 2023
Optimal Transport Model Distributional Robustness NIPS 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples NIPS 2023
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning NIPS 2023
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023