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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'15
'20
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Papers (including subtopics)
A Picture of the Space of Typical Learnable Tasks
ICML 2023
A Pilot Study on Dialogue-Level Dependency Parsing for Chinese
ACL 2023
A polar prediction model for learning to represent visual transformations
NeurIPS 2023
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
ACL 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
EMNLP 2023
Application of Knowledge Distillation to Multi-Task Speech Representation Learning
Interspeech 2023
Applied Online Algorithms with Heterogeneous Predictors
ICML 2023
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews
EMNLP 2023
Approximate Causal Effect Identification under Weak Confounding
ICML 2023
Approximately Bayes-optimal pseudo-label selection
UAI 2023
Approximately Stationary Bandits with Knapsacks
COLT 2023
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
AISTATS 2023
Approximating Full Conformal Prediction at Scale via Influence Functions
AAAI 2023
A Pragmatic Look at Deep Imitation Learning
ACML 2023
A Probabilistic Framework for Discovering New Intents
ACL 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation
CVPR 2023
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
ACL 2023
A Query-Parallel Machine Reading Comprehension Framework for Low-resource NER
EMNLP 2023
AR2-D2: Training a Robot Without a Robot
CoRL 2023
Arabic dialect identification: An in-depth error analysis on the MADAR parallel corpus
EMNLP 2023
Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification
EMNLP 2023
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation
Interspeech 2023
Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM
EMNLP 2023
Arabic Topic Classification in the Generative and AutoML Era
EMNLP 2023
Architectural Backdoors in Neural Networks
CVPR 2023