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Deep Learning
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Pretraining
2471 directly classified papers
Papers per year
2009: 2
2010: 1
2012: 1
2013: 1
2014: 4
2015: 5
2016: 19
2017: 26
2018: 33
2019: 117
2020: 218
2021: 311
2022: 333
2023: 451
2024: 448
2025: 373
2026: 128
Papers
Learning to Deblur Using Light Field Generated and Real Defocus Images
CVPR 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
OSDI 2022
Embedded Ensembles: infinite width limit and operating regimes
AISTATS 2022
Visual Emotion Representation Learning via Emotion-Aware Pre-training
IJCAI 2022
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport
IJCAI 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
IJCAI 2022
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
ICML 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
ICML 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
ICML 2022
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
ICML 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
IJCNLP 2022
Fine-grained Contrastive Learning for Definition Generation
IJCNLP 2022
CLIP4IDC: CLIP for Image Difference Captioning
IJCNLP 2022
Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks
IJCNLP 2022
F-coref: Fast, Accurate and Easy to Use Coreference Resolution
IJCNLP 2022
Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work
IJCNLP 2022
When Cantonese NLP Meets Pre-training: Progress and Challenges
IJCNLP 2022
GRASP: Guiding Model with RelAtional Semantics Using Prompt for Dialogue Relation Extraction
COLING 2022
SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training
COLING 2022
Addressing Leakage in Self-Supervised Contextualized Code Retrieval
COLING 2022
MonoByte: A Pool of Monolingual Byte-level Language Models
COLING 2022
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning
COLING 2022
TSTR: Too Short to Represent, Summarize with Details! Intro-Guided Extended Summary Generation
NAACL 2022
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
NAACL 2022
Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions
NAACL 2022
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