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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'20
'25
Papers (including subtopics)
Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training Data
CoNLL 2024
Using Language Models to Disambiguate Lexical Choices in Translation
EMNLP 2024
Using Large Language Models and Recruiter Expertise for Optimized Multilingual Job Offer – Applicant CV Matching
IJCAI 2024
Using Large Language Models to Improve Query-based Constraint Acquisition
IJCAI 2024
Using LLMs to simulate students’ responses to exam questions
EMNLP 2024
Using Locally Learnt Word Representations for better Textual Anomaly Detection
NAACL 2024
Using My Artistic Style? You Must Obtain My Authorization
ECCV 2024
Using Natural Language Explanations to Improve Robustness of In-context Learning
ACL 2024
Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data
AAAI 2024
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media
EMNLP 2024
Using Sarcasm to Improve Cyberbullying Detection
COLING 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
NeurIPS 2024
Using wav2vec 2.0 for phonetic classification tasks: methodological aspects
Interspeech 2024
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
SemEval 2024
Utilizing Adaptive Global Response Normalization and Cluster-Based Pseudo Labels for Zero-Shot Voice Conversion
Interspeech 2024
Utilizing GPT-4 to Solve TextWorld Commonsense Games Efficiently
COLING 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
NeurIPS 2024
Utilizing Large Language Models to Identify Evidence of Suicidality Risk through Analysis of Emotionally Charged Posts
EACL 2024
Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification
COLING 2024
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making
AAAI 2024
UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation
AAAI 2024
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
AAAI 2024
VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features
Interspeech 2024
VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE
ACL 2024
Value Alignment from Unstructured Text
EMNLP 2024