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)
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task
CoNLL 2017
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events
EMNLP 2017
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
EMNLP 2017
A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content
EACL 2017
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction
EMNLP 2017
A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion
Interspeech 2017
Aspect Extraction from Product Reviews Using Category Hierarchy Information
EACL 2017
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
Interspeech 2017
A Stepwise Analysis of Aggregated Crowdsourced Labels Describing Multimodal Emotional Behaviors
Interspeech 2017
A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments
EACL 2017
A Structured Learning Approach to Temporal Relation Extraction
EMNLP 2017
A Supervised Approach to Extractive Summarisation of Scientific Papers
CoNLL 2017
A survey of Algorithms and Analysis for Adaptive Online Learning
JMLR 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation
ICML 2017
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning
JMLR 2017
A Syntactic Neural Model for General-Purpose Code Generation
ACL 2017
A Teacher-Student Framework for Zero-Resource Neural Machine Translation
ACL 2017
A tool for extracting sense-disambiguated example sentences through user feedback
EACL 2017
A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification
Interspeech 2017
A Transition-based System for Universal Dependency Parsing
CoNLL 2017
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data
CVPR 2017
Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
Interspeech 2017
Attention-Based LSTM with Multi-Task Learning for Distant Speech Recognition
Interspeech 2017
Attentive Recurrent Comparators
ICML 2017
Audio Content Based Geotagging in Multimedia
Interspeech 2017