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
'5
'10
'15
'20
'25
Papers (including subtopics)
MISTI: Metadata-Informed Scientific Text and Image Representation through Contrastive Learning
ACL 2024
MIST: Mutual Information Maximization for Short Text Clustering
ACL 2024
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID
WACV 2024
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
ACL 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
NeurIPS 2024
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging
EMNLP 2024
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
ACL 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning
COLT 2024
Mitigating Emergent Robustness Degradation while Scaling Graph Learning
ICLR 2024
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
ACL 2024
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension
AAAI 2024
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
AAAI 2024
Mitigating Label Noise through Data Ambiguation
AAAI 2024
Mitigating Linguistic Artifacts in Emotion Recognition for Conversations from TV Scripts to Daily Conversations
COLING 2024
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
EMNLP 2024
Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
COLING 2024
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
CVPR 2024
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
CVPR 2024
Mitigating Open-Vocabulary Caption Hallucinations
EMNLP 2024
Mitigating Overfitting in Structured Pruning of ASR Models with Gradient-Guided Parameter Regularization
Interspeech 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
NeurIPS 2024
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
ACL 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
NeurIPS 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint)
IJCAI 2024
Mitigating Shortcuts in Language Models with Soft Label Encoding
COLING 2024