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)
Weakly Supervised Temporal Anomaly Segmentation With Dynamic Time Warping
ICCV 2021
Weakly Supervised Text-Based Person Re-Identification
ICCV 2021
Weakly-supervised Text Classification Based on Keyword Graph
EMNLP 2021
Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning
ICCV 2021
Weakly Supervised Video Salient Object Detection
CVPR 2021
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering
EMNLP 2021
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
MIDL 2021
Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech
Interspeech 2021
Weak-shot Fine-grained Classification via Similarity Transfer
NeurIPS 2021
We Are More Than Our Joints: Predicting How 3D Bodies Move
CVPR 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
CVPR 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach
ICCV 2021
WeChat Neural Machine Translation Systems for WMT21
EMNLP 2021
Weight-covariance alignment for adversarially robust neural networks
ICML 2021
Weighted model estimation for offline model-based reinforcement learning
NeurIPS 2021
Welfare Guarantees in Schelling Segregation
AAAI 2021
Well-tuned Simple Nets Excel on Tabular Datasets
NeurIPS 2021
We Need to Consider Disagreement in Evaluation
ACL 2021
We Need To Talk About Random Splits
EACL 2021
We Need to Talk About train-dev-test Splits
EMNLP 2021
What are the Statistical Limits of Offline RL with Linear Function Approximation?
ICLR 2021
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions
ICLR 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
ICML 2021
What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability
EMNLP 2021
What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels
CVPR 2021