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)
The UMD Submission to the Explainable MT Quality Estimation Shared Task: Combining Explanation Models with Sequence Labeling
EMNLP 2021
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation
SemEval 2021
The University of Edinburgh’s Bengali-Hindi Submissions to the WMT21 News Translation Task
EMNLP 2021
The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task
EMNLP 2021
The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021
EMNLP 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
AAAI 2021
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
EMNLP 2021
The Way to My Heart Is Through Contrastive Learning: Remote Photoplethysmography From Unlabelled Video
ICCV 2021
The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color
EMNLP 2021
The Zero Resource Speech Challenge 2021: Spoken Language Modelling
Interspeech 2021
Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk
EMNLP 2021
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
NeurIPS 2021
Thompson Sampling Algorithms for Cascading Bandits
JMLR 2021
Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory
AAAI 2021
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations
CVPR 2021
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-Trained DNN-HMM-Based Acoustic-Phonetic Model
Interspeech 2021
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation
CVPR 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
CoRL 2021
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
IJCAI 2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
EMNLP 2021
Tilted Empirical Risk Minimization
ICLR 2021
Time Adaptive Recurrent Neural Network
CVPR 2021
Time-Aware Ancient Chinese Text Translation and Inference
ACL 2021
Time-Aware Multi-Scale RNNs for Time Series Modeling
IJCAI 2021
TIMEDIAL: Temporal Commonsense Reasoning in Dialog
ACL 2021