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)
Field-wise Learning for Multi-field Categorical Data
NeurIPS 2020
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
NeurIPS 2020
Filtering Back-Translated Data in Unsupervised Neural Machine Translation
COLING 2020
Filtration and Distillation: Enhancing Region Attention for Fine-Grained Visual Categorization
AAAI 2020
Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection
IJCAI 2020
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
EMNLP 2020
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
AAAI 2020
Finding Network Misconfigurations by Automatic Template Inference
NSDI 2020
Findings of the 2020 Conference on Machine Translation (WMT20)
EMNLP 2020
Findings of the First Shared Task on Lifelong Learning Machine Translation
EMNLP 2020
Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages
AACL 2020
Findings of the WMT 2020 Shared Task on Machine Translation Robustness
EMNLP 2020
Finding the Homology of Decision Boundaries with Active Learning
NeurIPS 2020
Fine-Grained Argument Unit Recognition and Classification
AAAI 2020
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention
CVPR 2020
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features
WACV 2020
Fine-Grained Image-to-Image Transformation Towards Visual Recognition
CVPR 2020
Fine-Grained Machine Teaching with Attention Modeling
AAAI 2020
Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations
AAAI 2020
FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding
CVPR 2020
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
COLING 2020
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
AAAI 2020
Fine-tuning Neural Machine Translation on Gender-Balanced Datasets
COLING 2020
Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent
COLT 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise
UAI 2020