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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'25
Papers (including subtopics)
DeMAC: Enhancing Multi-Agent Coordination with Dynamic DAG and Manager-Player Feedback
EMNLP 2025
Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
ICML 2025
DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning
EMNLP 2025
DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
EMNLP 2025
Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success
RSS 2025
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
ACL 2025
DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration
CoRL 2025
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
EMNLP 2025
Demystify Verbosity Compensation Behavior of Large Language Models
EMNLP 2025
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
AAAI 2025
Denoising Diffusion Models are Good General Gaze Feature Learners
IJCAI 2025
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
ICLR 2025
Denoising with a Joint-Embedding Predictive Architecture
ICLR 2025
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
AAAI 2025
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings
EMNLP 2025
Dense Video Object Captioning from Disjoint Supervision
ICLR 2025
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
ICLR 2025
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
CVPR 2025
DependEval: Benchmarking LLMs for Repository Dependency Understanding
ACL 2025
Deploying Multi-task Online Server with Large Language Model
COLING 2025
Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices
EMNLP 2025
Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
CVPR 2025
Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation
ICCV 2025
Depth Any Video with Scalable Synthetic Data
ICLR 2025
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
AAAI 2025