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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'10
'15
'20
'25
Papers (including subtopics)
Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
CVPR 2024
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
EMNLP 2024
Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection
WACV 2024
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection
AISTATS 2024
LeDex: Training LLMs to Better Self-Debug and Explain Code
NeurIPS 2024
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
ICLR 2024
LEGOBench: Scientific Leaderboard Generation Benchmark
EMNLP 2024
LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation
ACL 2024
Leitner-Guided Memory Replay for Cross-lingual Continual Learning
NAACL 2024
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
EMNLP 2024
LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
CVPR 2024
LEOD: Label-Efficient Object Detection for Event Cameras
CVPR 2024
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation
AAAI 2024
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
EMNLP 2024
Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies
CoNLL 2024
LESS: Label-Efficient and Single-Stage Referring 3D Segmentation
NeurIPS 2024
Let Go of Your Labels with Unsupervised Transfer
ICML 2024
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
EMNLP 2024
Let’s Negotiate! A Survey of Negotiation Dialogue Systems
EACL 2024
Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery
IJCAI 2024
Let's Verify Step by Step
ICLR 2024
Let the Avatar Talk using Texts without Paired Training Data
ECCV 2024
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
EMNLP 2024
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos
AAAI 2024
Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification
WACV 2024