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
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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)
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing
ACL 2022
Subword-Delimited Downsampling for Better Character-Level Translation
EMNLP 2022
Subword Evenness (SuE) as a Predictor of Cross-lingual Transfer to Low-resource Languages
EMNLP 2022
Subword Segmental Language Modelling for Nguni Languages
EMNLP 2022
Successive Prompting for Decomposing Complex Questions
EMNLP 2022
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
NAACL 2022
Sufficient reductions in regression with mixed predictors
JMLR 2022
Summarization as Indirect Supervision for Relation Extraction
EMNLP 2022
Summarizing Dialogues with Negative Cues
COLING 2022
Summarizing Procedural Text: Data and Approach
EMNLP 2022
Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task
EMNLP 2022
SummScreen: A Dataset for Abstractive Screenplay Summarization
ACL 2022
SummVD : An efficient approach for unsupervised topic-based text summarization
AACL 2022
Sum of Ranked Range Loss for Supervised Learning
JMLR 2022
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities
ACL 2022
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
ICLR 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
EMNLP 2022
Supervised Off-Policy Ranking
ICML 2022
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
EMNLP 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
AAAI 2022
Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training
Interspeech 2022
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning
AAAI 2022
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation With Learnt Surface Embeddings
CVPR 2022
SURF: Semantic-level Unsupervised Reward Function for Machine Translation
NAACL 2022
Surpassing the Human Accuracy: Detecting Gallbladder Cancer From USG Images With Curriculum Learning
CVPR 2022