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)
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
NeurIPS 2022
SIOD: Single Instance Annotated per Category per Image for Object Detection
CVPR 2022
Situated Dialogue Learning through Procedural Environment Generation
ACL 2022
SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification
AAAI 2022
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
WACV 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR
CVPR 2022
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems
NeurIPS 2022
SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches
CVPR 2022
Sketching Without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
CVPR 2022
SkillSpan: Hard and Soft Skill Extraction from English Job Postings
NAACL 2022
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
NeurIPS 2022
SKILL: Structured Knowledge Infusion for Large Language Models
NAACL 2022
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
ICML 2022
SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
EMNLP 2022
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
NeurIPS 2022
SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition
EMNLP 2022
SLIC: Self-Supervised Learning With Iterative Clustering for Human Action Videos
CVPR 2022
SLING: Sino Linguistic Evaluation of Large Language Models
EMNLP 2022
Slot Filling for Biomedical Information Extraction
ACL 2022
SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning
ACL 2022
SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages
EMNLP 2022
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Interspeech 2022
Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data
AAAI 2022
Smartphone-Based Game Development to Introduce K12 Students in Applied Artificial Intelligence
AAAI 2022
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction
EMNLP 2022