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Machine Learning
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Transfer Learning
1113 directly classified papers
Papers per year
2003: 2
2005: 1
2006: 3
2007: 6
2008: 3
2009: 1
2010: 6
2011: 7
2012: 8
2013: 19
2014: 9
2015: 6
2016: 13
2017: 41
2018: 52
2019: 74
2020: 102
2021: 120
2022: 150
2023: 151
2024: 170
2025: 160
2026: 9
Papers
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
NIPS 2023
Weakly-Supervised Speech Pre-training: A Case Study on Target Speech Recognition
INTERSPEECH 2023
An Equitable Framework for Automatically Assessing Children's Oral Narrative Language Abilities
INTERSPEECH 2023
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages
INTERSPEECH 2023
Language-universal Phonetic Encoder for Low-resource Speech Recognition
INTERSPEECH 2023
Improving Under-Resourced Code-Switched Speech Recognition: Large Pre-trained Models or Architectural Interventions
INTERSPEECH 2023
Transfer Learning to Aid Dysarthria Severity Classification for Patients with Amyotrophic Lateral Sclerosis
INTERSPEECH 2023
Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling
INTERSPEECH 2023
Sartipi-Sedighin at SemEval-2023 Task 2: Fine-grained Named Entity Recognition with Pre-trained Contextual Language Models and Data Augmentation from Wikipedia
SEMEVAL 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
NIPS 2023
ESG Impact Type Classification: Leveraging Strategic Prompt Engineering and LLM Fine-Tuning
IJCNLP 2023
Exploring Knowledge Composition for ESG Impact Type Determination
IJCNLP 2023
Effective Training of Attention-based Contextual Biasing Adapters with Synthetic Audio for Personalised ASR
INTERSPEECH 2023
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
NIPS 2023
Open-Set Representation Learning Through Combinatorial Embedding
CVPR 2023
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
CVPR 2023
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation
CVPR 2023
Learning Expressive Prompting With Residuals for Vision Transformers
CVPR 2023
Generalizable Local Feature Pre-Training for Deformable Shape Analysis
CVPR 2023
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer
CVPR 2023
Train-Once-for-All Personalization
CVPR 2023
ProTeGe: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding
CVPR 2023
Guided Recommendation for Model Fine-Tuning
CVPR 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution
CVPR 2023
Dual-Path Adaptation From Image to Video Transformers
CVPR 2023
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