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)
Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
NeurIPS 2024
LAMM: Label Alignment for Multi-Modal Prompt Learning
AAAI 2024
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
AAAI 2024
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
CVPR 2024
LAMP: Learn A Motion Pattern for Few-Shot Video Generation
CVPR 2024
LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation
ACL 2024
LangBridge: Multilingual Reasoning Without Multilingual Supervision
ACL 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
NeurIPS 2024
LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments
ACL 2024
Language-aware Visual Semantic Distillation for Video Question Answering
CVPR 2024
Language Concept Erasure for Language-invariant Dense Retrieval
EMNLP 2024
Language-conditioned Detection Transformer
CVPR 2024
Language-Driven Anchors for Zero-Shot Adversarial Robustness
CVPR 2024
Language-driven Grasp Detection
CVPR 2024
Language-guided Image Reflection Separation
CVPR 2024
Language-Guided Transformer for Federated Multi-Label Classification
AAAI 2024
Language is All a Graph Needs
EACL 2024
Language Model Based Unsupervised Dependency Parsing with Conditional Mutual Information and Grammatical Constraints
NAACL 2024
Language Model Detectors Are Easily Optimized Against
ICLR 2024
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
EMNLP 2024
Language Models as Black-Box Optimizers for Vision-Language Models
CVPR 2024
Language Models as Semantic Indexers
ICML 2024
Language Models can Evaluate Themselves via Probability Discrepancy
ACL 2024
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks
ACL 2024
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
ACL 2024