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)
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
Debiased Active Learning with Variational Gradient Rectifier
AAAI 2025
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
AAAI 2025
Debiased Distillation for Consistency Regularization
AAAI 2025
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
CVPR 2025
Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT
ACL 2025
Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection
ICCV 2025
Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories
ACL 2025
DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
AISTATS 2025
Decentralized Federated Learning with Model Caching on Mobile Agents
AAAI 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
ACL 2025
DecepBench: Benchmarking Multimodal Deception Detection
ACL 2025
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning
AAAI 2025
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing
IJCAI 2025
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
CVPR 2025
Decoder-Only LLMs can be Masked Auto-Encoders
ACL 2025
Decoding Actionability: A Computational Analysis of Teacher Observation Feedback
ACL 2025
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
ACL 2025
Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images
NAACL 2025
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
AAAI 2025
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
AAAI 2025
Decomposition of Graphic Design with Unified Multimodal Model
ICML 2025
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
EMNLP 2025
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
AAAI 2025