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)
FREE: Feature Refinement for Generalized Zero-Shot Learning
ICCV 2021
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
EACL 2021
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
EMNLP 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
NeurIPS 2021
From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors
WACV 2021
From Label Smoothing to Label Relaxation
AAAI 2021
From Local Structures to Size Generalization in Graph Neural Networks
ICML 2021
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
NAACL 2021
From None to Severe: Predicting Severity in Movie Scripts
EMNLP 2021
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding
ACL 2021
From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach
CVPR 2021
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing
EMNLP 2021
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling
EMNLP 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
CVPR 2021
Fully Self-Supervised Class Awareness in Dense Object Descriptors
CoRL 2021
Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
CVPR 2021
Functional Space Analysis of Local GAN Convergence
ICML 2021
Function Contrastive Learning of Transferable Meta-Representations
ICML 2021
Fundamental Tradeoffs in Distributionally Adversarial Training
ICML 2021
Fusion Learning Using Semantics and Graph Convolutional Network for Visual Food Recognition
WACV 2021
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition
Interspeech 2021
Fuzzy Clustering with Similarity Queries
NeurIPS 2021
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online
ICLR 2021
G2D: Generate to Detect Anomaly
WACV 2021
GAIA: A Transfer Learning System of Object Detection That Fits Your Needs
CVPR 2021