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)
Enhancing Topic-to-Essay Generation with External Commonsense Knowledge
ACL 2019
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification
CVPR 2019
Enhancing Unsupervised Generative Dependency Parser with Contextual Information
ACL 2019
Ensemble Models for Spoofing Detection in Automatic Speaker Verification
Interspeech 2019
Entity Projection via Machine Translation for Cross-Lingual NER
EMNLP 2019
Episodic Memory in Lifelong Language Learning
NeurIPS 2019
Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits
NeurIPS 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
UAI 2019
Equal Opportunity in Online Classification with Partial Feedback
NeurIPS 2019
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks
NeurIPS 2019
Estimating the Causal Effect from Partially Observed Time Series
AAAI 2019
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective
AAAI 2019
Estimation of Non-Normalized Mixture Models
AISTATS 2019
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
AAAI 2019
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones
UAI 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
CVPR 2019
Evaluating adversarial attacks against multiple fact verification systems
EMNLP 2019
Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent
NAACL 2019
Evaluating Audiovisual Source Separation in the Context of Video Conferencing
Interspeech 2019
Evaluating Automatic Term Extraction Methods on Individual Documents
ACL 2019
Evaluating Discourse in Structured Text Representations
ACL 2019
Evaluating Lottery Tickets Under Distributional Shifts
EMNLP 2019
Evaluating Protein Transfer Learning with TAPE
NeurIPS 2019
Evaluating Question Answering Evaluation
EMNLP 2019
Evaluating Research Novelty Detection: Counterfactual Approaches
EMNLP 2019