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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
How does the task complexity of masked pretraining objectives affect downstream performance?
ACL 2023
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
ACL 2023
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
ACL 2023
On the Difference of BERT-style and CLIP-style Text Encoders
ACL 2023
Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction
ACL 2023
Navigating Data Scarcity: Pretraining for Medical Utterance Classification
ACL 2023
I2R’s End-to-End Speech Translation System for IWSLT 2023 Offline Shared Task
ACL 2023
SPC: Soft Prompt Construction for Cross Domain Generalization
ACL 2023
Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling
INTERSPEECH 2023
A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures
INTERSPEECH 2023
Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
INTERSPEECH 2023
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition
INTERSPEECH 2023
wav2vec 2.0 ASR for Cantonese-Speaking Older Adults in a Clinical Setting
INTERSPEECH 2023
N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition
INTERSPEECH 2023
The MALACH Corpus: Results with End-to-End Architectures and Pretraining
INTERSPEECH 2023
Diffusion-based Visual Representation Learning for Medical Question Answering
ACML 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
NIPS 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
NIPS 2023
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
NIPS 2023
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining
NIPS 2023
Meet in the Middle: A New Pre-training Paradigm
NIPS 2023
Does progress on ImageNet transfer to real-world datasets?
NIPS 2023
RevColV2: Exploring Disentangled Representations in Masked Image Modeling
NIPS 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NIPS 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
NIPS 2023
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