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)
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
NeurIPS 2024
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection
CVPR 2024
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
CVPR 2024
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
AAAI 2024
Detecting and Preventing Hallucinations in Large Vision Language Models
AAAI 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
NeurIPS 2024
Detecting Hate Speech in Turkish Print Media: A Corpus and A Hybrid Approach with Target-oriented Linguistic Knowledge
EACL 2024
Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests
EMNLP 2024
Detecting Machine-Generated Long-Form Content with Latent-Space Variables
EMNLP 2024
Detecting Temporal Ambiguity in Questions
EMNLP 2024
Detection and Measurement of Syntactic Templates in Generated Text
EMNLP 2024
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
NeurIPS 2024
DetectiveReDASers at HSD-2Lang 2024: A New Pooling Strategy with Cross-lingual Augmentation and Ensembling for Hate Speech Detection in Low-resource Languages
EACL 2024
Deterministic Reversible Data Augmentation for Neural Machine Translation
ACL 2024
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
NeurIPS 2024
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
NeurIPS 2024
DETRs Beat YOLOs on Real-time Object Detection
CVPR 2024
DevBench: A multimodal developmental benchmark for language learning
NeurIPS 2024
DeWinder: Single-Channel Wind Noise Reduction using Ultrasound Sensing
Interspeech 2024
DF40: Toward Next-Generation Deepfake Detection
NeurIPS 2024
DFD: Distilling the Feature Disparity Differently for Detectors
ICML 2024
DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval
AAAI 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
AAAI 2024
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
NeurIPS 2024
Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
EMNLP 2024