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)
Data Distributional Properties As Inductive Bias for Systematic Generalization
CVPR 2025
Data-Efficient 3D Visual Grounding via Order-Aware Referring
WACV 2025
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data
EMNLP 2025
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs
EMNLP 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
CVPR 2025
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
AAAI 2025
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA
SemEval 2025
DataHacks at PerAnsSumm 2025: LoRA-Driven Prompt Engineering for Perspective Aware Span Identification and Summarization
NAACL 2025
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
ICML 2025
Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation
ACL 2025
Data or Language Supervision: What Makes CLIP Better than DINO?
EMNLP 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
CVPR 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
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers
CVPR 2025
DayDreamer at CQs-Gen 2025: Generating Critical Questions through Argument Scheme Completion
ACL 2025
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
AAAI 2025
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework
AAAI 2025
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
AAAI 2025
DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models
Interspeech 2025
DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy
AAAI 2025
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
ICCV 2025
DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy
AAAI 2025
De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation
CVPR 2025
DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
CVPR 2025