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)
GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization
EMNLP 2024
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
NeurIPS 2024
Grounded Question-Answering in Long Egocentric Videos
CVPR 2024
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
CVPR 2024
Grounding Language in Multi-Perspective Referential Communication
EMNLP 2024
Grounding Partially-Defined Events in Multimodal Data
EMNLP 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization
NeurIPS 2024
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
CVPR 2024
Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech
ACL 2024
GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data
ACML 2024
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
NeurIPS 2024
GSO-Net: Grid Surface Optimization via Learning Geometric Constraints
AAAI 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
NeurIPS 2024
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
ICML 2024
GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack
EMNLP 2024
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
NeurIPS 2024
Guidance-Based Prompt Data Augmentation in Specialized Domains for Named Entity Recognition
ACL 2024
Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining
AAAI 2024
Guiding Large Language Models via External Attention Prompting for Scientific Extreme Summarization
ACL 2024
Habesha@DravidianLangTech 2024: Detecting Fake News Detection in Dravidian Languages using Deep Learning
EACL 2024
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
WACV 2024
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
CVPR 2024
HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning
EMNLP 2024
HAMiSoN-MTL at ClimateActivism 2024: Detection of Hate Speech, Targets, and Stance using Multi-task Learning
EACL 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
NeurIPS 2024