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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'20
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Papers (including subtopics)
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
AAAI 2021
Abusive Language on Social Media Through the Legal Looking Glass
ACL 2021
A Case Study of the Shortcut Effects in Visual Commonsense Reasoning
AAAI 2021
ACAT-G: An Interactive Learning Framework for Assisted Response Generation
AAAI 2021
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning
ICCV 2021
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs
L4DC 2021
Accelerated WGAN Update Strategy With Loss Change Rate Balancing
WACV 2021
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
AAAI 2021
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing
AAAI 2021
Accelerating Quadratic Optimization with Reinforcement Learning
NeurIPS 2021
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
NeurIPS 2021
Accountable Error Characterization
NAACL 2021
Accounting for Confirmation Bias in Crowdsourced Label Aggregation
IJCAI 2021
Accumulative Poisoning Attacks on Real-time Data
NeurIPS 2021
Accurate and Robust Feature Importance Estimation under Distribution Shifts
AAAI 2021
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
ICCV 2021
ACE: Explaining cluster from an adversarial perspective
ICML 2021
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
JMLR 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
NeurIPS 2021
Achieving Model Robustness through Discrete Adversarial Training
EMNLP 2021
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization
CVPR 2021
A Circular-Structured Representation for Visual Emotion Distribution Learning
CVPR 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
ACL 2021
A Closer Look at Rotation-Invariant Deep Point Cloud Analysis
ICCV 2021
A Clustering-based framework for Classifying Data Streams
IJCAI 2021