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)
Deep-Simplex Multichannel Speech Separation
Interspeech 2025
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document
AAAI 2025
Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times
ACL 2025
Deep-Union Completion
AAAI 2025
Deep Unsupervised Hashing via External Guidance
ICML 2025
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
AAAI 2025
Defend for Self-Vocoding: A Novel Enhanced Decoder Network for Watermark Recovery
Interspeech 2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
AAAI 2025
Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks
ACL 2025
DefMamba: Deformable Visual State Space Model
CVPR 2025
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
CVPR 2025
DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction
MIDL 2025
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network
AAAI 2025
Déjà Vu? Decoding Repeated Reading from Eye Movements
ACL 2025
DELAB-IIITM WMT25: Enhancing Low-Resource Machine Translation for Manipuri and Assamese
EMNLP 2025
Delayed-KD: Delayed Knowledge Distillation based CTC for Low-Latency Streaming ASR
Interspeech 2025
DELOC: Document Element Localizer
EMNLP 2025
Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models
ACL 2025
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
AAAI 2025
Demystifying Domain-adaptive Post-training for Financial LLMs
EMNLP 2025
Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration
AAAI 2025
Dense Depth from Event Focal Stack
WACV 2025
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
ACL 2025
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
AAAI 2025
Dense Policy: Bidirectional Autoregressive Learning of Actions
ICCV 2025