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
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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)
Numerical reasoning in machine reading comprehension tasks: are we there yet?
EMNLP 2021
NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification With Linguistic Information
ACL 2021
NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21
EMNLP 2021
Object-aware Contrastive Learning for Debiased Scene Representation
NeurIPS 2021
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
NeurIPS 2021
Object Classification From Randomized EEG Trials
CVPR 2021
Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency
IJCAI 2021
Objective-aware Traffic Simulation via Inverse Reinforcement Learning
IJCAI 2021
Objective Bound Conditional Gaussian Process for Bayesian Optimization
ICML 2021
Object Recognition With Continual Open Set Domain Adaptation for Home Robot
WACV 2021
Object Segmentation Without Labels with Large-Scale Generative Models
ICML 2021
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
CVPR 2021
Observation-Free Attacks on Stochastic Bandits
NeurIPS 2021
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction
SemEval 2021
ODIST: Open World Classification via Distributionally Shifted Instances
EMNLP 2021
Offensive language identification in Dravidian code mixed social media text
EACL 2021
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
NeurIPS 2021
Offline Contextual Bandits with Overparameterized Models
ICML 2021
Offline Meta-Reinforcement Learning with Advantage Weighting
ICML 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
ICML 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
AISTATS 2021
Off-Policy Risk Assessment in Contextual Bandits
NeurIPS 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
ICML 2021
Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer
NAACL 2021
OmniNet: Omnidirectional Representations from Transformers
ICML 2021