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)
On the Use of External Data for Spoken Named Entity Recognition
NAACL 2022
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
AAAI 2022
On the Value of Prior in Online Learning to Rank
AISTATS 2022
On the well-spread property and its relation to linear regression
COLT 2022
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification
NeurIPS 2022
On Transferability of Prompt Tuning for Natural Language Processing
NAACL 2022
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks
NeurIPS 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
NeurIPS 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
CVPR 2022
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression
AAAI 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
NeurIPS 2022
OpenAUC: Towards AUC-Oriented Open-Set Recognition
NeurIPS 2022
OpenBrand: Open Brand Value Extraction from Product Descriptions
ACL 2022
Open-Domain Dialog Evaluation Using Follow-Ups Likelihood
COLING 2022
Open-Domain Sign Language Translation Learned from Online Video
EMNLP 2022
Open-domain Video Commentary Generation
EMNLP 2022
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion
NeurIPS 2022
Opening Up Open World Tracking
CVPR 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
NeurIPS 2022
Open Problem: Do you pay for Privacy in Online learning?
COLT 2022
Open Problem: Finite-Time Instance Dependent Optimality for Stochastic Online Learning with Feedback Graphs
COLT 2022
Open Problem: Optimal Best Arm Identification with Fixed-Budget
COLT 2022
Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits
COLT 2022
OpenPrompt: An Open-source Framework for Prompt-learning
ACL 2022
Open Relation and Event Type Discovery with Type Abstraction
EMNLP 2022