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 Novel Framework for Robustness Analysis of Visual QA Models
AAAI 2019
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps
MIDL 2019
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification
ICCV 2019
An SVM-Based Framework for Long-Term Learning Systems
AAAI 2019
Answer-based Adversarial Training for Generating Clarification Questions
NAACL 2019
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation
EMNLP 2019
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks
AAAI 2019
Answering Conversational Questions on Structured Data without Logical Forms
EMNLP 2019
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
ACL 2019
Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension
EMNLP 2019
Anti-Spoofing Speaker Verification System with Multi-Feature Integration and Multi-Task Learning
Interspeech 2019
An Unsupervised Autoregressive Model for Speech Representation Learning
Interspeech 2019
A PAC Framework for Aggregating Agents’ Judgments
AAAI 2019
A Perceptual Prediction Framework for Self Supervised Event Segmentation
CVPR 2019
A Personalized Sentiment Model with Textual and Contextual Information
CoNLL 2019
Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task
ACL 2019
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task
ACL 2019
A Pilot Study for Chinese SQL Semantic Parsing
EMNLP 2019
Approximate Feature Collisions in Neural Nets
NeurIPS 2019
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
IJCAI 2019
Approximate Relative Value Learning for Average-reward Continuous State MDPs
UAI 2019
Approximating the Permanent by Sampling from Adaptive Partitions
NeurIPS 2019
Approximations of the Restless Bandit Problem
JMLR 2019
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection
EMNLP 2019
A Principled Approach for Learning Task Similarity in Multitask Learning
IJCAI 2019