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)
Dependent Multi-Task Learning with Causal Intervention for Image Captioning
IJCAI 2021
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation
ICCV 2021
DER: Dynamically Expandable Representation for Class Incremental Learning
CVPR 2021
De-Rendering the World's Revolutionary Artefacts
CVPR 2021
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
ACL 2021
Description-based Label Attention Classifier for Explainable ICD-9 Classification
EMNLP 2021
Design of Experiments for Stochastic Contextual Linear Bandits
NeurIPS 2021
Detail Me More: Improving GAN's Photo-Realism of Complex Scenes
ICCV 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
ICCV 2021
Detect and Classify – Joint Span Detection and Classification for Health Outcomes
EMNLP 2021
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
AAAI 2021
Detecting Anomalous Event Sequences with Temporal Point Processes
NeurIPS 2021
Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels
MLHC 2021
Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing
EMNLP 2021
Detecting Contact-Induced Semantic Shifts: What Can Embedding-Based Methods Do in Practice?
EMNLP 2021
Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media
EMNLP 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
NeurIPS 2021
Detecting Hashtag Hijacking for Hashtag Activism
ACL 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
CVPR 2021
Detecting Human-Object Interaction With Mixed Supervision
WACV 2021
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
NeurIPS 2021
Detecting Moments and Highlights in Videos via Natural Language Queries
NeurIPS 2021
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
EMNLP 2021
Detecting Post-Edited References and Their Effect on Human Evaluation
EACL 2021
Detecting Propaganda Techniques in Memes
ACL 2021