Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models
CVPR 2024
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
NeurIPS 2024
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains
ACL 2024
Fine-tuning after Prompting: an Explainable Way for Classification
ACL 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
EMNLP 2024
Fine-Tuning ASR models for Very Low-Resource Languages: A Study on Mvskoke
ACL 2024
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility
Interspeech 2024
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing
EACL 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
Fine-tuning Language Models for AI vs Human Generated Text detection
SemEval 2024
Fine-Tuning Language Models on Dutch Protest Event Tweets
EACL 2024
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification
EMNLP 2024
Fine-Tuning Language Models with Reward Learning on Policy
NAACL 2024
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
AAAI 2024
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
EMNLP 2024
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
EMNLP 2024
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
ICLR 2024
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
EMNLP 2024
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination
NeurIPS 2024
Fine-Tuning Pre-Trained Language Models with Gaze Supervision
ACL 2024
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
NAACL 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
ICML 2024
Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models
ACL 2024
Fingervein Verification Using Convolutional Multi-Head Attention Network
WACV 2024
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits
JMLR 2024