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)
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
NeurIPS 2021
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
ICML 2021
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning
CVPR 2021
Exponential savings in agnostic active learning through abstention
COLT 2021
Exponential Separation between Two Learning Models and Adversarial Robustness
NeurIPS 2021
Exponential Weights Algorithms for Selective Learning
COLT 2021
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection
ACL 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
ICML 2021
Expressive Text-to-Speech Using Style Tag
Interspeech 2021
Extracting Appointment Spans from Medical Conversations
NAACL 2021
Extracting Material Property Measurement Data from Scientific Articles
EMNLP 2021
Extracting Zero-shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers
AAAI 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
NAACL 2021
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
AAAI 2021
FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information
EMNLP 2021
Facebook AI’s WMT21 News Translation Task Submission
EMNLP 2021
FaceController: Controllable Attribute Editing for Face in the Wild
AAAI 2021
Face Forensics in the Wild
CVPR 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems
CVPR 2021
Facial Action Unit Detection With Transformers
CVPR 2021
Facial Emotion Recognition With Noisy Multi-Task Annotations
WACV 2021
Factoring Statutory Reasoning as Language Understanding Challenges
ACL 2021
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
EMNLP 2021
Fair Algorithms for Multi-Agent Multi-Armed Bandits
NeurIPS 2021
Fair and Efficient Allocations with Limited Demands
AAAI 2021