Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Fine-Grained Alignment for Cross-Modal Recipe Retrieval
WACV 2024
Fine-grained Classification of Circumstantial Meanings within the Prague Dependency Treebank Annotation Scheme
COLING 2024
Fine-grained Control of Generative Data Augmentation in IoT Sensing
NeurIPS 2024
Fine-Grained Distillation for Long Document Retrieval
AAAI 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
EMNLP 2024
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
CVPR 2024
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models
EMNLP 2024
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
AAAI 2024
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
NeurIPS 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
EMNLP 2024
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing
EACL 2024
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
ICLR 2024
Fine-Tuning Language Models on Dutch Protest Event Tweets
EACL 2024
Fine-tuning of Pre-trained Models for Classification of Vocal Intensity Category from Speech Signals
Interspeech 2024
Fine-Tuning Pre-Trained Language Models with Gaze Supervision
ACL 2024
Fine-tuning Smaller Language Models for Question Answering over Financial Documents
EMNLP 2024
Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models
ACL 2024
Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation
ICML 2024
FIRE: Food Image to REcipe Generation
WACV 2024
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
EMNLP 2024
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures
CVPR 2024
FITS: Modeling Time Series with $10k$ Parameters
ICLR 2024
FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
NeurIPS 2024
Fixing Overconfidence in Dynamic Neural Networks
WACV 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
NeurIPS 2024