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

Improving Model Generalization: A Chinese Named Entity Recognition Case Study IJCNLP 2021
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability ICML 2021
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction ACL 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption AAAI 2021
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition ICCV 2021
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge CVPR 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020
Generalization to Mitigate Synonym Substitution Attacks EMNLP 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020
Group-Wise Dynamic Dropout Based on Latent Semantic Variations AAAI 2020
Zero-Shot Text-to-SQL Learning with Auxiliary Task AAAI 2020
Scalable and Generalizable Social Bot Detection through Data Selection AAAI 2020
Circuit-Based Intrinsic Methods to Detect Overfitting ICML 2020
Sideways: Depth-Parallel Training of Video Models CVPR 2020
What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation EMNLP 2020
Advancing Seq2seq with Joint Paraphrase Learning EMNLP 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020
The Pitfalls of Simplicity Bias in Neural Networks NIPS 2020
Semantic Complexity in End-to-End Spoken Language Understanding INTERSPEECH 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift NIPS 2020
Deeply-Supervised Knowledge Synergy CVPR 2019
Exploiting Class Learnability in Noisy Data AAAI 2019
Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019