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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'20
'25
Papers (including subtopics)
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
ACL 2025
Data with High and Consistent Preference Difference Are Better for Reward Model
AAAI 2025
DavIR: Data Selection via Implicit Reward for Large Language Models
ACL 2025
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
NAACL 2025
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
AAAI 2025
DCBU at GenAI Detection Task 1: Enhancing Machine-Generated Text Detection with Semantic and Probabilistic Features
COLING 2025
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
ACL 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
AAAI 2025
DCRM: A Heuristic to Measure Response Pair Quality in Preference Optimization
EMNLP 2025
DCR: Quantifying Data Contamination in LLMs Evaluation
EMNLP 2025
DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing
ICCV 2025
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
ICCV 2025
DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
CVPR 2025
DeAL: Decoding-time Alignment for Large Language Models
ACL 2025
De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
ICML 2025
Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math
ACL 2025
DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation
ACL 2025
Debate Helps Weak-to-Strong Generalization
AAAI 2025
DEBATE, TRAIN, EVOLVE: Self‐Evolution of Language Model Reasoning
EMNLP 2025
DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
ICLR 2025
Debiased Active Learning with Variational Gradient Rectifier
AAAI 2025
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
AAAI 2025
Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification
ICCV 2025
Debiased Multimodal Understanding for Human Language Sequences
AAAI 2025
Debiased Teacher for Day-to-Night Domain Adaptive Object Detection
ICCV 2025