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)
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
CVPR 2024
Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval
AAAI 2024
Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding
Interspeech 2024
A synthetic data approach for domain generalization of NLI models
ACL 2024
A Systematic Survey on Federated Semi-supervised Learning
IJCAI 2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
AAAI 2024
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection
CVPR 2024
Athena: Safe Autonomous Agents with Verbal Contrastive Learning
EMNLP 2024
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning
NeurIPS 2024
A Theoretical Understanding of Self-Correction through In-context Alignment
NeurIPS 2024
A Theory of Fault-Tolerant Learning
ICML 2024
A Theory of Optimistically Universal Online Learnability for General Concept Classes
NeurIPS 2024
A Thorough Examination of Decoding Methods in the Era of LLMs
EMNLP 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
EMNLP 2024
Atomic Inference for NLI with Generated Facts as Atoms
EMNLP 2024
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery
IJCAI 2024
Atom-Level Optical Chemical Structure Recognition with Limited Supervision
CVPR 2024
A Toolbox for Modelling Engagement with Educational Videos
AAAI 2024
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
NeurIPS 2024
A Tractable Inference Perspective of Offline RL
NeurIPS 2024
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
AAAI 2024
A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation
IJCAI 2024
A Tree-of-Thoughts to Broaden Multi-step Reasoning across Languages
NAACL 2024
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation
AAAI 2024
Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
ICML 2024