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)
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling
EMNLP 2020
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
ICML 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
ACL 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
EMNLP 2020
TextAttack: Lessons learned in designing Python frameworks for NLP
EMNLP 2020
Text-based Person Search via Attribute-aided Matching
WACV 2020
Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection
COLING 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
EMNLP 2020
Text Classification with Negative Supervision
ACL 2020
TextNAS: A Neural Architecture Search Space Tailored for Text Representation
AAAI 2020
Text Style Transfer via Learning Style Instance Supported Latent Space
IJCAI 2020
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets
EMNLP 2020
Textual Membership Queries
IJCAI 2020
Text Zoning and Classification for Job Advertisements in German, French and English
EMNLP 2020
T-GD: Transferable GAN-generated Images Detection Framework
ICML 2020
That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages
Interspeech 2020
The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task
AACL 2020
The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task
AACL 2020
The ADAPT System Description for the WMT20 News Translation Task
EMNLP 2020
The AFRL WMT20 News Translation Systems
EMNLP 2020
The Attacker’s Perspective on Automatic Speaker Verification: An Overview
Interspeech 2020
The Autoencoding Variational Autoencoder
NeurIPS 2020
The Choice Function Framework for Online Policy Improvement
AAAI 2020
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
NeurIPS 2020
The continuous categorical: a novel simplex-valued exponential family
ICML 2020