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)
ID3 Learns Juntas for Smoothed Product Distributions
COLT 2020
Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data
PGM 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
NeurIPS 2020
Identifying Exaggerated Language
EMNLP 2020
Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations
AACL 2020
Identifying Incorrect Labels in the CoNLL-2003 Corpus
CoNLL 2020
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020
COLING 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking
NeurIPS 2020
Identifying Model Weakness with Adversarial Examiner
AAAI 2020
Identifying Nuanced Dialect for Arabic Tweets with Deep Learning and Reverse Translation Corpus Extension System
COLING 2020
Identifying Worry in Twitter: Beyond Emotion Analysis
EMNLP 2020
Identify Speakers in Cocktail Parties with End-to-End Attention
Interspeech 2020
“I’d rather just go to bed”: Understanding Indirect Answers
EMNLP 2020
If You Build Your Own NER Scorer, Non-replicable Results Will Come
EMNLP 2020
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
IJCAI 2020
IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation
EMNLP 2020
IGT2P: From Interlinear Glossed Texts to Paradigms
EMNLP 2020
IIITBH-IITP@CL-SciSumm20, CL-LaySumm20, LongSumm20
EMNLP 2020
IITP-AINLPML at SemEval-2020 Task 12: Offensive Tweet Identification and Target Categorization in a Multitask Environment
SemEval 2020
Image Based Virtual Try-On Network From Unpaired Data
CVPR 2020
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
WACV 2020
Image to Video Domain Adaptation Using Web Supervision
WACV 2020
Imitation Learning via Off-Policy Distribution Matching
ICLR 2020
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation
CVPR 2020
Impact of Politically Biased Data on Hate Speech Classification
EMNLP 2020