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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'20
'25
Papers (including subtopics)
LJPCheck: Functional Tests for Legal Judgment Prediction
ACL 2024
LLaFS: When Large Language Models Meet Few-Shot Segmentation
CVPR 2024
LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP
COLING 2024
Llama meets EU: Investigating the European political spectrum through the lens of LLMs
NAACL 2024
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
ICLR 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
ACL 2024
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
CVPR 2024
LLM as a metric critic for low resource relation identification
EMNLP 2024
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs
ACL 2024
LLM-Assisted Code Cleaning For Training Accurate Code Generators
ICLR 2024
LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination
NAACL 2024
LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback
ACL 2024
LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications
NAACL 2024
LLM-Based Synthetic Datasets: Applications and Limitations in Toxicity Detection
COLING 2024
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
ICLR 2024
LLM-Check: Investigating Detection of Hallucinations in Large Language Models
NeurIPS 2024
LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
EACL 2024
LLMCrit: Teaching Large Language Models to Use Criteria
ACL 2024
LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification
ACL 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
NeurIPS 2024
LLM Evaluators Recognize and Favor Their Own Generations
NeurIPS 2024
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks
EMNLP 2024
LLMs are Good Action Recognizers
CVPR 2024
LLMs Are Zero-Shot Context-Aware Simultaneous Translators
EMNLP 2024
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
EMNLP 2024