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)
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
EMNLP 2021
Field-Guide-Inspired Zero-Shot Learning
ICCV 2021
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech
EMNLP 2021
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
EMNLP 2021
Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble
NAACL 2021
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding
AAAI 2021
Finding a Balanced Degree of Automation for Summary Evaluation
EMNLP 2021
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
EMNLP 2021
Finding Needles in Heterogeneous Haystacks
AAAI 2021
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
NeurIPS 2021
Finding Representative Interpretations on Convolutional Neural Networks
ICCV 2021
Findings of the 2021 Conference on Machine Translation (WMT21)
EMNLP 2021
Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering
ACL 2021
Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set
EMNLP 2021
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation
EMNLP 2021
Findings of the WMT 2021 Shared Task on Quality Estimation
EMNLP 2021
Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT
EMNLP 2021
Findings of the WMT Shared Task on Machine Translation Using Terminologies
EMNLP 2021
Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text Simplification
EACL 2021
Finding the needle in a haystack: Extraction of Informative COVID-19 Danish Tweets
EMNLP 2021
Fine-Grained Angular Contrastive Learning With Coarse Labels
CVPR 2021
Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments
ACL 2021
Fine-grained Entity Typing without Knowledge Base
EMNLP 2021
Fine-grained Event Classification in News-like Text Snippets - Shared Task 2, CASE 2021
ACL 2021
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models
EMNLP 2021