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)
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction
AAAI 2025
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data
AAAI 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
CVPR 2025
DFM: Differentiable Feature Matching for Anomaly Detection
CVPR 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
AAAI 2025
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
AAAI 2025
DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization
Interspeech 2025
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning
CVPR 2025
Dhvani: A Weakly-supervised Phonemic Error Detection and Personalized Feedback System for Hindi
Interspeech 2025
Diagnosing Pretrained Models for Out-of-distribution Detection
ICCV 2025
Dial2MSA-Verified: A Multi-Dialect Arabic Social Media Dataset for Neural Machine Translation to Modern Standard Arabic
COLING 2025
DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction
ACL 2025
Dialogue Systems for Emotional Support via Value Reinforcement
ACL 2025
Dianchi at SemEval-2025 Task 11: Multilabel Emotion Recognition via Orthogonal Knowledge Distillation
SemEval 2025
DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels
AAAI 2025
DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues
ACL 2025
DiceHuBERT: Distilling HuBERT with a Self-Supervised Learning Objective
Interspeech 2025
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
AAAI 2025
DiffCLIP: Few-shot Language-driven Multimodal Classifier
AAAI 2025
DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
CVPR 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes
AAAI 2025
Differentiable Information Enhanced Model-Based Reinforcement Learning
AAAI 2025
Differentiable K-means for Fully-optimized Discrete Token-based ASR
Interspeech 2025
Differentiable Reward Optimization for LLM based TTS system
Interspeech 2025
Differential Alignment for Domain Adaptive Object Detection
AAAI 2025