SOTAVerified

Transfer Learning

Transfer Learning is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related problem. This can be useful in situations where there is limited data available to train a new model from scratch, or when the new task is similar enough to the original task that the pre-trained model can be adapted to the new problem with only minor modifications.

( Image credit: Subodh Malgonde )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3251–3300 of 10307 papers

TitleStatusHype
Live American Sign Language Letter Classification with Convolutional Neural Networks—0
Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers—0
Do We Really Need a Large Number of Visual Prompts?—0
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems—0
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical TasksCode2
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression—0
Collective Knowledge Graph Completion with Mutual Knowledge Distillation—0
Transfer Learning for Personality Perception via Speech Emotion Recognition—0
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text TranslationCode1
TOAST: Transfer Learning via Attention SteeringCode1
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement LearningCode1
READ: Recurrent Adaptation of Large Transformers—0
Bert4XMR: Cross-Market Recommendation with Bidirectional Encoder Representations from TransformerCode1
Deep Learning-based Bio-Medical Image Segmentation using UNet Architecture and Transfer Learning—0
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical InsightsCode1
Improving few-shot learning-based protein engineering with evolutionary samplingCode1
Few-shot Unified Question Answering: Tuning Models or Prompts?—0
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine TranslationCode0
Topic-driven Distant Supervision Framework for Macro-level Discourse Parsing—0
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning—0
A Two-Step Deep Learning Method for 3DCT-2DUS Kidney Registration During Breathing—0
Selective Pre-training for Private Fine-tuningCode0
Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers—0
CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language ModelsCode1
Deep Transductive Transfer Learning for Automatic Target Recognition—0
Stock and market index prediction using Informer network—0
Regularization Through Simultaneous Learning: A Case Study on Plant Classification—0
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization mattersCode1
Transferring Fairness using Multi-Task Learning with Limited Demographic Information—0
Sequential Transfer Learning to Decode Heard and Imagined Timbre from fMRI Data—0
Feasibility of Transfer Learning: A Mathematical Framework—0
Lion: Adversarial Distillation of Proprietary Large Language ModelsCode2
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond—0
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning ArchitectureCode0
Denoised Self-Augmented Learning for Social RecommendationCode1
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis—0
LEAN: Light and Efficient Audio Classification Network—0
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta LearningCode1
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification—0
Strategy Extraction in Single-Agent Games—0
Explaining Emergent In-Context Learning as Kernel Regression—0
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification GraphsCode0
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification—0
CNN-based Methods for Object Recognition with High-Resolution Tactile SensorsCode0
Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning—0
PTGB: Pre-Train Graph Neural Networks for Brain Network AnalysisCode1
Self-supervised representations in speech-based depression detection—0
Self-Distillation with Meta Learning for Knowledge Graph CompletionCode0
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor SearchCode1
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning—0
Show:102550
← PrevPage 66 of 207Next →
All datasetsOffice-Home100 sleep nights of 8 caregiversBanglaLekha Isolated DatasetCOCO70KITTI Object Tracking Evaluation 2012Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2—Unverified
2DFA-ENTAccuracy69.2—Unverified
3DFA-SAFNAccuracy69.1—Unverified
4EasyTLAccuracy63.3—Unverified
5MEDAAccuracy60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74—Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95—Unverified