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

Showing 49014950 of 10307 papers

TitleStatusHype
PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer0
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning0
PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition0
PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks0
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing0
PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis0
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning0
Phase transitions for high-dimensional joint support recovery0
Phase Transitions in Transfer Learning for High-Dimensional Perceptrons0
Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric and Non-Parametric CNNs0
Phonological Features for Morphological Inflection0
Phrase-Based Approach for Adaptive Tokenization0
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification0
Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint0
Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction0
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets0
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data0
Physics-Informed Machine Learning Regulated by Finite Element Analysis for Simulation Acceleration of Laser Powder Bed Fusion0
Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning0
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs0
Physics-Informed Solution of The Stationary Fokker-Plank Equation for a Class of Nonlinear Dynamical Systems: An Evaluation Study0
Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning0
Discovering High-Strength Alloys via Physics-Transfer Learning0
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans0
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation0
Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI0
PIMKL: Pathway Induced Multiple Kernel Learning0
PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection0
PIRC Net : Using Proposal Indexing, Relationships and Context for Phrase Grounding0
Pitch Contour Exploration Across Audio Domains: A Vision-Based Transfer Learning Approach0
Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks0
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning0
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages0
Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MT0
Pixel to policy: DQN Encoders for within & cross-game reinforcement learning0
Plansformer: Generating Symbolic Plans using Transformers0
Plant Disease Detection from Images0
Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-190
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning0
Plug and Play, Model-Based Reinforcement Learning0
Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck0
P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs0
PMT-MAE: Dual-Branch Self-Supervised Learning with Distillation for Efficient Point Cloud Classification0
PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning0
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance0
Pneumonia Detection in Chest X-Rays using Neural Networks0
PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint0
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment0
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding0
Point Cloud Segmentation Using Transfer Learning with RandLA-Net: A Case Study on Urban Areas0
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Benchmark Results

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