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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Papers (including subtopics)
Teaching Language Models to Self-Improve by Learning from Language Feedback
ACL 2024
Teaching Language Models to Self-Improve through Interactive Demonstrations
NAACL 2024
Teaching Large Language Models an Unseen Language on the Fly
ACL 2024
Teaching Large Language Models to Translate with Comparison
AAAI 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback
EMNLP 2024
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering
ACL 2024
Teaching Tiny Minds: Exploring Methods to Enhance Knowledge Distillation for Small Language Models
CoNLL 2024
Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models
EACL 2024
Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games
NeurIPS 2024
Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text
SemEval 2024
TEA: Test-time Energy Adaptation
CVPR 2024
TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition
COLING 2024
TechWhiz@DravidianLangTech 2024: Fake News Detection Using Deep Learning Models
EACL 2024
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
CVPR 2024
Tell Me What Is Good about This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization
AAAI 2024
Tell Me What’s Next: Textual Foresight for Generic UI Representations
ACL 2024
TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling
AAAI 2024
TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models
EMNLP 2024
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
CVPR 2024
Temporal-Distributed Backdoor Attack against Video Based Action Recognition
AAAI 2024
Temporal Domain Generalization via Learning Instance-level Evolving Patterns
IJCAI 2024
Temporal Generalization Estimation in Evolving Graphs
ICLR 2024
Temporal Graph Contrastive Learning for Sequential Recommendation
AAAI 2024
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
AAAI 2024
Temporally Consistent Factuality Probing for Large Language Models
EMNLP 2024