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Papers
KIT’s Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization
ACL 2025
Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
ICLR 2025
PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization
CVPR 2025
Nuclear Norm Regularization for Deep Learning
NeurIPS 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
CVPR 2024
Weight-Sharing Regularization
AISTATS 2024
Your Transformer is Secretly Linear
ACL 2024
Regularizing Neural Networks with Meta-Learning Generative Models
NeurIPS 2023
TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models
EMNLP 2023
Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework
SemEval 2022
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
AAAI 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
CVPR 2022
A Mutual Information Regularization for Adversarial Training
ACML 2021
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
NeurIPS 2021
Connecting Sphere Manifolds Hierarchically for Regularization
ICML 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
CVPR 2021
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently
EMNLP 2021
Regularizing Generative Adversarial Networks Under Limited Data
CVPR 2021
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
ICLR 2021
Self-Knowledge Distillation With Progressive Refinement of Targets
ICCV 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
AISTATS 2021
Towards Robustness of Deep Neural Networks via Regularization
ICCV 2021
DeepLPF: Deep Local Parametric Filters for Image Enhancement
CVPR 2020
Four Things Everyone Should Know to Improve Batch Normalization
ICLR 2020
Regularizing Black-box Models for Improved Interpretability
NeurIPS 2020