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)
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
AISTATS 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
ICCV 2021
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
NeurIPS 2021
Towards Universal Physical Attacks on Single Object Tracking
AAAI 2021
Towards Unsupervised Deformable-Instances Image-to-Image Translation
IJCAI 2021
Towards Unsupervised Phone and Word Segmentation Using Self-Supervised Vector-Quantized Neural Networks
Interspeech 2021
Towards User-Driven Neural Machine Translation
ACL 2021
Towards Visual Question Answering on Pathology Images
ACL 2021
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems
EMNLP 2021
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
EMNLP 2021
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
EMNLP 2021
Towards Zero-Shot Learning With Fewer Seen Class Examples
WACV 2021
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
ICML 2021
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery
AAAI 2021
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
ICCV 2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
CVPR 2021
Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing
AAAI 2021
Tracking Regret Bounds for Online Submodular Optimization
AISTATS 2021
Tracklet Proposal Network for Multi-Object Tracking on Point Clouds
IJCAI 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
NeurIPS 2021
TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors
CVPR 2021
TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning
IJCAI 2021
Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator
EMNLP 2021
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
AAAI 2021
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
ICML 2021