conftrace_

weight averaging

25 papers

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Also known as

WA

Co-occurring keywords

neural network (6616) domain adaptation (4595) test-time adaptation (312) ensemble learning (1274) transfer learning (5449) domain generalization (1522) catastrophic forgetting (958) neural network optimization (1293) model merging (234) knowledge distillation (3725)

Papers

Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization AAAI 2026
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging EMNLP 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging WACV 2025
Where Do Large Learning Rates Lead Us? NIPS 2024
WATT: Weight Average Test Time Adaptation of CLIP NIPS 2024
Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction WACV 2024
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning ACL 2024
Should Under-parameterized Student Networks Copy or Average Teacher Weights? NIPS 2023
PlayGround Low Resource Machine Translation System for the 2023 AmericasNLP Shared Task ACL 2023
CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023
Rehearsal-Free Online Continual Learning for Automatic Speech Recognition INTERSPEECH 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization ICML 2023
Lookaround Optimizer: $k$ steps around, 1 step average NIPS 2023
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models EACL 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models ICML 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models ICCV 2023
Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization ACL 2023
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation ICML 2022
Diverse Weight Averaging for Out-of-Distribution Generalization NIPS 2022
Continual Test-Time Domain Adaptation CVPR 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time ICML 2022
Learning Neural Network Subspaces ICML 2021
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020
Asymmetric Valleys: Beyond Sharp and Flat Local Minima NIPS 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results NIPS 2017