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
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Papers (including subtopics)
FOCUS: Towards Universal Foreground Segmentation
AAAI 2025
Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows
CVPR 2025
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
EMNLP 2025
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
NAACL 2025
FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process
ICCV 2025
FoodTaxo: Generating Food Taxonomies with Large Language Models
ACL 2025
Foot-In-The-Door: A Multi-turn Jailbreak for LLMs
EMNLP 2025
Forecasting Competitions with Correlated Events
AAAI 2025
Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs
COLING 2025
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
AAAI 2025
Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models
CVPR 2025
Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images
CVPR 2025
ForestCast: Open-Ended Event Forecasting with Semantic News Forest
EMNLP 2025
Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models
NAACL 2025
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval
WACV 2025
ForgDiffuser: General Image Forgery Localization with Diffusion Models
IJCAI 2025
FORGETTER with forgetful hyperparameters and recurring sleeps can continue to learn beyond normal overtfitting limits
EMNLP 2025
Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning
EMNLP 2025
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
EMNLP 2025
Forgotten Polygons: Multimodal Large Language Models are Shape-Blind
ACL 2025
Forking Paths in Neural Text Generation
ICLR 2025
FormalAlign: Automated Alignment Evaluation for Autoformalization
ICLR 2025
Formally Verified Approximate Policy Iteration
AAAI 2025
Formal Quality Measures for Predictors in Markov Decision Processes
AAAI 2025
Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation
EMNLP 2025