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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'15
'20
'25
Papers (including subtopics)
A Gold Standard with Silver Linings: Scaling Up Annotation for Distinguishing Bosnian, Croatian, Montenegrin and Serbian
COLING 2024
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
ICLR 2024
“A good pun is its own reword”: Can Large Language Models Understand Puns?
EMNLP 2024
A GPT among Annotators: LLM-based Entity-Level Sentiment Annotation
EACL 2024
A Gradient Accumulation Method for Dense Retriever under Memory Constraint
NeurIPS 2024
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings
EMNLP 2024
A Graph Theoretic Approach for Preference Learning with Feature Information
UAI 2024
A Greedy Approximation for k-Determinantal Point Processes
AISTATS 2024
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization
ACL 2024
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack
AAAI 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
NeurIPS 2024
A Hierarchical Network for Multimodal Document-Level Relation Extraction
AAAI 2024
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
AAAI 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
AAAI 2024
A Human-in-the-Loop Approach to Improving Cross-Text Prosody Transfer
Interspeech 2024
A Hybrid Approach to Aspect Based Sentiment Analysis Using Transfer Learning
COLING 2024
AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis
SemEval 2024
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations
SemEval 2024
AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis
SemEval 2024
AI-Olympics: Exploring the Generalization of Agents through Open Competitions
IJCAI 2024
AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4
SemEval 2024
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension
ACL 2024
AIST AIRC Systems for the WMT 2024 Shared Tasks
EMNLP 2024
A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification
Interspeech 2024
AKEW: Assessing Knowledge Editing in the Wild
EMNLP 2024