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)
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
NeurIPS 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
NeurIPS 2021
FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding
CoRL 2021
FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks
EMNLP 2021
FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction
AAAI 2021
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters
ICCV 2021
Flow-Based Kernel Prior With Application to Blind Super-Resolution
CVPR 2021
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
CVPR 2021
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
ICCV 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
ICML 2021
Follow-the-Regularized-Leader Routes to Chaos in Routing Games
ICML 2021
Fooling LiDAR Perception via Adversarial Trajectory Perturbation
ICCV 2021
Fool Me Twice: Entailment from Wikipedia Gamification
NAACL 2021
Forecasting Irreversible Disease via Progression Learning
CVPR 2021
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
ICCV 2021
Foreground Activation Maps for Weakly Supervised Object Localization
ICCV 2021
Foreseeing the Benefits of Incidental Supervision
EMNLP 2021
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
NeurIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
NeurIPS 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
NeurIPS 2021
For self-supervised learning, Rationality implies generalization, provably
ICLR 2021
Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
CVPR 2021
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
ICCV 2021
Fractal Autoencoders for Feature Selection
AAAI 2021
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames
NAACL 2021