Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective
Interspeech 2023
Investigating Sentiment-Bearing Words- and Emoji-based Distant Supervision Approaches for Sentiment Analysis
EACL 2023
Investigating Techniques for a Deeper Understanding of Neural Machine Translation (NMT) Systems through Data Filtering and Fine-tuning Strategies
EMNLP 2023
Investigating the Effectiveness of Multiple Expert Models Collaboration
EMNLP 2023
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
EMNLP 2023
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction
RSS 2023
Investigating the Role and Impact of Disfluency on Summarization
EMNLP 2023
Investigating the Role of Model-Based Learning in Exploration and Transfer
ICML 2023
Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis
ACL 2023
Investigating UD Treebanks via Dataset Difficulty Measures
EACL 2023
Investigating wav2vec2 context representations and the effects of fine-tuning, a case-study of a Finnish model
Interspeech 2023
Investigating Zero-shot Cross-lingual Language Understanding for Arabic
EMNLP 2023
Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning
Interspeech 2023
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations
EMNLP 2023
In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages
EMNLP 2023
IOL Research’s Submission for WMT 2023 Quality Estimation Shared Task
EMNLP 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
ICCV 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
NeurIPS 2023
iQuery: Instruments As Queries for Audio-Visual Sound Separation
CVPR 2023
IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks
SemEval 2023
I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets
ACL 2023
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
ICLR 2023
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding
CVPR 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
NeurIPS 2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
EMNLP 2023