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
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Papers (including subtopics)
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds
Interspeech 2023
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
CVPR 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
ICML 2023
A Study on Annotation Interfaces for Summary Comparison
ACL 2023
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
ACL 2023
A Study on Transformer Configuration and Training Objective
ICML 2023
A Stutter Seldom Comes Alone – Cross-Corpus Stuttering Detection as a Multi-label Problem
Interspeech 2023
A Survey of Evaluation Methods of Generated Medical Textual Reports
ACL 2023
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
EACL 2023
A Survey on Asking Clarification Questions Datasets in Conversational Systems
ACL 2023
A Survey on Masked Autoencoder for Visual Self-supervised Learning
IJCAI 2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
IJCAI 2023
Aswat: Arabic Audio Dataset for Automatic Speech Recognition Using Speech-Representation Learning
EMNLP 2023
AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection
CVPR 2023
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
WACV 2023
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
AISTATS 2023
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture
AISTATS 2023
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making
ICLR 2023
Asymptotics of Network Embeddings Learned via Subsampling
JMLR 2023
A Synthetic Data Generation Framework for Grounded Dialogues
ACL 2023
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
NeurIPS 2023
A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models
ACL 2023
“A Tale of Two Movements’: Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction
EMNLP 2023
ATCON: Attention Consistency for Vision Models
WACV 2023
A theoretical study of inductive biases in contrastive learning
ICLR 2023