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)
AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation
AAAI 2023
A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems
EMNLP 2023
A Faster Practical Approximation Scheme for the Permanent
AAAI 2023
A Faster Sampler for Discrete Determinantal Point Processes
AISTATS 2023
Affective and Dynamic Beam Search for Story Generation
EMNLP 2023
A fine-grained comparison of pragmatic language understanding in humans and language models
ACL 2023
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
AISTATS 2023
A Formal Metareasoning Model of Concurrent Planning and Execution
AAAI 2023
A Framework and Benchmark for Deep Batch Active Learning for Regression
JMLR 2023
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
ICML 2023
AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages
EMNLP 2023
A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
EMNLP 2023
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
ACL 2023
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
CVPR 2023
A GAN Speech Inpainting Model for Audio Editing Software
Interspeech 2023
A General Framework for Robust G-Invariance in G-Equivariant Networks
NeurIPS 2023
A Generalized Deep Markov Random Fields Framework for Fake News Detection
IJCAI 2023
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning
AAAI 2023
A generative model of the hippocampal formation trained with theta driven local learning rules
NeurIPS 2023
Aggregating Bilateral Attention for Few-Shot Instance Localization
WACV 2023
Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring
ACL 2023
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
AAAI 2023
Agile Modeling: From Concept to Classifier in Minutes
ICCV 2023
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
NeurIPS 2023
Agnostic Multi-Group Active Learning
NeurIPS 2023