Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Core Methods
Machine Learning
›
Core Methods
›
Feature Learning
817 directly classified papers
Papers per year
2001: 1
2003: 3
2005: 2
2006: 15
2007: 12
2008: 18
2009: 6
2010: 16
2011: 20
2012: 32
2013: 76
2014: 34
2015: 23
2016: 34
2017: 47
2018: 31
2019: 46
2020: 57
2021: 43
2022: 58
2023: 70
2024: 93
2025: 79
2026: 1
Papers
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
CVPR 2025
Logits DeConfusion with CLIP for Few-Shot Learning
CVPR 2025
FG^2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
CVPR 2025
Dynamic and Adaptive Feature Generation with LLM
IJCAI 2025
Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
ICCV 2025
Deep Homography Estimation for Visual Place Recognition
AAAI 2024
Pinealai_StressIdent_LT-EDI@EACL2024: Minimal configurations for Stress Identification in Tamil and Telugu
EACL 2024
Discovering Sequential Patterns with Predictable Inter-event Delays
AAAI 2024
Learning Intra-Class Multimodal Distributions With Orthonormal Matrices
WACV 2024
Structural Entropy Based Graph Structure Learning for Node Classification
AAAI 2024
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection
WACV 2024
Exploring hybrid approaches to readability: experiments on the complementarity between linguistic features and transformers
EACL 2024
A Unified Framework for Discovering Discrete Symmetries
AISTATS 2024
PHG-Net: Persistent Homology Guided Medical Image Classification
WACV 2024
Decomposing Global Feature Effects Based on Feature Interactions
JMLR 2024
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification
AAAI 2024
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification
AAAI 2024
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
NIPS 2024
Learning symmetries via weight-sharing with doubly stochastic tensors
NIPS 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
NIPS 2024
Neural Collapse To Multiple Centers For Imbalanced Data
NIPS 2024
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
AISTATS 2024
Collaborative Refining for Learning from Inaccurate Labels
NIPS 2024
Pruning is Optimal for Learning Sparse Features in High-Dimensions
COLT 2024
Scalable Higher-Order Tensor Product Spline Models
AISTATS 2024
<
1
2
3
4
5
…
33
>