Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'10
'15
'20
'25
Papers (including subtopics)
Habesha@DravidianLangTech 2024: Detecting Fake News Detection in Dravidian Languages using Deep Learning
EACL 2024
HaGRID -- HAnd Gesture Recognition Image Dataset
WACV 2024
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
WACV 2024
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
CVPR 2024
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
CVPR 2024
Hallucination Diversity-Aware Active Learning for Text Summarization
NAACL 2024
HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning
EMNLP 2024
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
NeurIPS 2024
HAMiSoN-baselines at ClimateActivism 2024: A Study on the Use of External Data for Hate Speech and Stance Detection
EACL 2024
HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection
EACL 2024
HAMiSoN-MTL at ClimateActivism 2024: Detection of Hate Speech, Targets, and Stance using Multi-task Learning
EACL 2024
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation
ACL 2024
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation
NeurIPS 2024
HANS, are you clever? Clever Hans Effect Analysis of Neural Systems
NAACL 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
NeurIPS 2024
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
NeurIPS 2024
Hard-Label Based Small Query Black-Box Adversarial Attack
WACV 2024
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation
AAAI 2024
Hard Sample-Aware Consistency for Low-Resolution Facial Expression Recognition
WACV 2024
Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues
EACL 2024
Harnessing Density Ratios for Online Reinforcement Learning
ICLR 2024
Harnessing Large Language Models for Training-free Video Anomaly Detection
CVPR 2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
AAAI 2024
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
AAAI 2024
Harnessing small projectors and multiple views for efficient vision pretraining
NeurIPS 2024